50+ AWS (Amazon Web Services) Jobs in India

Senior Platform & Site Reliability Engineer

Location: Remote Employment Type: Contract

The Role

This role carries full architectural and operational ownership of the platform layer across a growing SaaS portfolio. The Cloud Architect owns AWS infrastructure standards — VPCs, account structures, networking, and compute design. Everything outside that lane is yours: the CI/CD platform, the observability and reliability stack, the event streaming infrastructure, the deployment pipelines, and the incident engineering model.

Architectural decisions are yours to make and defend, standards are yours to define and enforce, and the reliability of 20+ enterprise SaaS products depends on what you and your team build.

This is an AI-native engineering organisation. Where it is practical and safe to do so, you are expected to use automation and AI-assisted tooling to reduce toil — in CI/CD triage, infrastructure provisioning, observability workflows, and acquisition onboarding. The expectation is not to replace engineering judgement with automation, but to free it up for the problems that genuinely require it.

The Scale You Will Operate At

The portfolio consists of 20+ live, enterprise-grade SaaS solutions running concurrently. Each product serves enterprise customers and processes millions to billions of real-time requests. The architecture is serious: event streaming for real-time data pipelines, batch processing workloads running alongside live transaction flows, and multi-tenant enterprise-grade reliability expectations across every product.

You will design and operate the platform infrastructure that underpins all of it — scaling horizontally as each new acquisition joins the portfolio, without proportionally scaling cost, complexity, or headcount.

What You Will Own

Platform Architecture

• Full architectural ownership of the non-AWS toolchain: CI/CD, observability, event streaming, automation, secrets, and deployment infrastructure
• Define, build, and enforce platform standards across portfolio products
• Terraform IaC for all infrastructure — nothing provisioned manually, everything versioned and reviewed
• Self-service developer platform so product teams ship without waiting on platform

Event Streaming & Pipeline Infrastructure

• Own the event streaming architecture, operational standards, and health monitoring across all products using real-time pipelines
• Design and maintain batch processing infrastructure alongside live event flows
• Ensure pipeline reliability, throughput, and cost are actively managed at scale

CI/CD & Deployment

• Build and maintain CI/CD pipelines (GitHub Actions) across all portfolio products
• Automate triage and retry logic for known failure classes — flaky tests, dependency timeouts, OOM kills — so engineers are only paged for genuinely novel failures
• Deployment standards: release management, rollback mechanisms, canary and blue-green patterns where justified

Observability & Reliability

• Own the full observability stack: Grafana, Prometheus, and Loki across all products
• SLOs and error budgets defined per product; reliability tracked consistently
• Build alerting that correlates signals and surfaces diagnostic context alongside notifications — so on-call engineers arrive at an incident with hypotheses, not a blank screen
• Incident response: on-call design, escalation playbooks, post-mortem facilitation
• Automated remediation scoped to safe, idempotent actions — container restarts, ECS task scaling, known rollback patterns; novel or ambiguous failures escalate to a human with full context attached

Acquisition Onboarding

• Platform audit and gap analysis for every new acquisition — assessing CI/CD maturity, IaC coverage, observability gaps, and security posture
• Migration plan and execution for each portfolio company joining the platform — sequenced to avoid disrupting live operations
• Target: full platform integration within a defined window per acquisition

A Note on Automation

Where automation is safe and failure modes are well understood — routine provisioning, known CI/CD failure classes, secrets rotation, cost anomaly flagging — aggressive automation is expected. Where automation would act on ambiguous signals or carry significant blast radius, human judgement stays in the loop. The goal is to reduce toil on solved problems, not to automate decisions that require engineering expertise.

Platform Stack

Area Stack / Standard IaC Terraform OSS / OpenTofu CI/CD GitHub Actions Event Streaming Architecture and tooling chosen for the workload Observability Grafana, Prometheus, Loki Log Management AWS CloudWatch, Grafana Loki Incident Management OpsGenie (startup tier) or Better Uptime Secrets AWS Secrets Manager / HashiCorp Vault OSS Containers ECS (default), EKS only where justified Cost Monitoring AWS Cost Explorer with custom dashboards What We’re Looking For

• 8–12 years in platform engineering, DevOps, or SRE — with clear evidence of increasing ownership over time
• Strong Terraform depth across multi-environment, multi-account setups
• CI/CD ownership across a multi-product environment with GitHub Actions
• Experience with event streaming infrastructure at production scale — design, operations, reliability, and cost management
• Hands-on Grafana, Prometheus, and Loki in production
• AWS operational depth: ECS, EKS, RDS, IAM, VPC, CloudWatch, Cost Explorer
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortem culture
• Acquisition or greenfield platform integration experience strongly preferred

How You Work

• Comfortable operating across multiple products simultaneously — context-switching without dropping standards
• Cost-efficiency instinct — you optimise spend as a habit, not as a project
• You treat automation as a tool for eliminating toil, not a substitute for engineering judgement
• You document decisions, enforce standards through code, and build platforms that other engineers find intuitive to use

Why This Role

The platform function is being built from the ground up. You will have architectural ownership of the entire non-AWS platform layer across a growing portfolio of enterprise SaaS products, with the freedom — and responsibility — to build the reliability and delivery culture of the organisation.

This is not a role that inherits someone else’s decisions and maintains them. Every major architectural choice is still to be made. If you want to build something that lasts and that other engineers depend on, this is the role.

DevOps Engineer

AWS Infrastructure, CI/CD & Production Operations

Mumbai (On-site) | Full-time | 2-4 years

About the role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a DevOps Engineer who will own day-to-day cloud infrastructure, deployment automation, and production operations across active customer engagements.

The mandatory requirement for this role is hands-on production experience on AWS, with infrastructure as code, container orchestration, and CI/CD pipelines owned end to end on at least one live customer workload. The role is hands-on. Expect to operate Kubernetes clusters, build CI/CD pipelines, automate environment provisioning, manage TLS and DNS, set up observability, and partner with backend and AI engineers to ship reliably. A typical week includes a Terraform refactor, a deployment pipeline build for a new service, an incident response on a production cluster, and a cost review.

Responsibilities:

• AWS infrastructure: Design and operate production infrastructure on AWS using EC2, EKS or ECS, S3, RDS, IAM, VPC, CloudFront, and Route53. Own configuration, networking, and cost.
• Infrastructure as code: Write and maintain Terraform or Pulumi modules. Drive consistency across environments and tenants through IaC rather than manual configuration.
• Kubernetes and containers: Operate production EKS clusters. Manage Helm charts, Ingress, autoscaling, secrets, and workload isolation.
• CI/CD pipelines: Build and maintain pipelines using GitHub Actions, GitLab CI, or equivalent. Include automated tests, security scans, and rollback paths.
• TLS, DNS, and CDN automation: Automate domain provisioning, TLS issuance (Let's Encrypt, cert-manager, ACM), and CDN configuration (CloudFront, Cloudflare).
• Observability and incident response: Set up monitoring, logging, and alerting using Prometheus, Grafana, ELK, Loki, or CloudWatch. Lead incident response and write postmortems.
• Secrets and security: Manage secrets through Vault, AWS Secrets Manager, or KMS. Apply least-privilege IAM and review access regularly.
• Cost monitoring: Track and optimise AWS spend across environments. Surface waste and propose remediations.
• 
  

Requirements:

• Hands-on AWS production experience (mandatory). Must have personally operated production workloads on AWS, with responsibility for IaC, deployments, and incident response on at least one live customer or internal-platform deployment. POCs and lab environments do not qualify.
• 2 to 4 years of hands-on DevOps or infrastructure experience. Candidates with slightly less experience but strong demonstrated ownership are welcome to apply.
• AWS depth. Hands-on with EC2, S3, IAM, VPC, EKS or ECS, RDS, CloudFront, and Route53. Working knowledge of CloudWatch and AWS cost tooling.
• Kubernetes in production. Hands-on operation of EKS or equivalent. Comfort with Helm, Ingress controllers, autoscaling, and resource quotas.
• Infrastructure as code. Strong with Terraform (preferred) or Pulumi. Modular code, state management, and review discipline.
• CI/CD pipelines. Production experience with GitHub Actions, GitLab CI, or equivalent. Comfort with multi-environment pipelines and release strategies.
• Scripting and automation. Strong Bash and Python (or Go) for tooling. Linux fluency at the command line.
• Observability stack. Hands-on with Prometheus, Grafana, ELK or Loki, and at least one APM tool (Datadog, New Relic, or equivalent).
• Networking, TLS, and security fundamentals. Comfortable with DNS, TLS certificate lifecycle, VPC peering, and security groups.



Nice to have: multi-tenant SaaS infrastructure experience; service mesh (Istio, Linkerd); GitOps (ArgoCD, Flux); sandboxed execution environments (Firecracker, gVisor); exposure to platform engineering or developer-platform teams.

Job Summary:

We are seeking a DevOps Engineer (AWS) with deep expertise in Terraform, Atlantis, and large-scale multi-cloud environments (200–300+ accounts/subscriptions). This is a client-facing consulting role, responsible for designing and governing secure, scalable infrastructure and CI/CD platforms across enterprise environments.

This role goes beyond implementation, you will define standards, governance models, and automation frameworks for large organizations operating at scale.

Key Responsibilities:

Cloud Platforms / AWS Expertise

• AWS (Expert) – Organizations, IAM, VPC, Security services
• Strong hands-on experience with AWS Service Catalog to design, publish, and manage standardized, secure infrastructure products across multi-account AWS environments
• Proven ability to enforce governance, compliance, and cost controls by integrating Service Catalog with IAM, SCPs, and CI/CD pipelines
• Experience with Azure or GCP (multi-cloud exposure required) Enterprise DevSecOps Architecture
• Architect and standardize end-to-end DevSecOps platforms
• Design secure, scalable CI/CD pipelines using Jenkins & GitHub Actions
• Embed security gates (SAST, DAST, SCA, container security) into pipelines
• Define reusable pipeline templates across multiple teams/business units Terraform + Atlantis (Must-Have, Core Focus)
• Design and manage large-scale Terraform architecture across 200–300+ cloud accounts
• Implement Terraform modules, remote backends, and state isolation strategies
• Build and manage Atlantis workflows for automated Terraform plan/apply
• Enforce:Code reviews & approvals for infra changes Policy-as-code (OPA / Sentinel)
• Drift detection & remediation

Multi-Cloud Architecture (AWS + Azure/GCP)

• Architect multi-cloud landing zones and governance frameworks
• Manage large account structures:
• AWS Organizations (multi-account strategy) Azure Management Groups / Subscriptions
• Implement:Network segmentation (VPC/VNet design) Identity federation (SSO, IAM, RBAC) Cross-account access models
• Ensure high availability, scalability, and cost optimization Security & Compliance at Scale
• Implement DevSecOps controls aligned with SOC 2, PCI-DSS, GDPR
• Integrate tools like: JFrog Xray (SCA) SonarQube (SAST) Trivy / Prisma / Wiz (container & cloud security)
• Build policy-as-code frameworks for compliance enforcement
• Automate evidence collection for audits

Artifact & Dependency Management

• Architect secure artifact lifecycle using JFrog Artifactory
• Implement access control, immutability, and vulnerability scanning
• Standardize dependency management across teams Observability & Reliability
• Implement centralized logging/monitoring:
• CloudWatch, ELK, Prometheus/Grafana
• Define SLOs/SLIs for platform reliability
• Reduce MTTR via automation and alerting

Consulting & Leadership

• Act as a trusted advisor to enterprise clients
• Lead architecture discussions and DevSecOps transformation programs
• Mentor teams and enforce engineering best practices
• Drive platform adoption across multiple business units

Required Skills:

Infrastructure as Code (Core)

• Terraform (Expert level)
• Atlantis (Hands-on implementation at scale)
• Strong experience with multi-account architecture (200–300+ accounts)

DevOps Tooling

• Jenkins (advanced pipelines)
• GitHub Actions (enterprise workflows)
• GitOps practices

Cloud Platforms

• AWS (Expert) – Organizations, IAM, VPC, Security services
• Experience with Azure or GCP (multi-cloud exposure required)

Security Stack

• SAST, DAST, SCA tools integration
• Container security & Kubernetes security
• Secrets management (Vault / AWS Secrets Manager)

Programming/Scripting

• Python / Bash (automation focus)

Preferred Qualifications:

• Experience with Kubernetes (EKS/AKS/GKE) at scale
• Knowledge of Zero Trust Architecture
• Experience with OPA / Sentinel (policy-as-code)
• Familiarity with platform engineering concepts (Internal Developer Platforms)

Certifications (Good to Have)

• AWS Solutions Architect – Professional
• Terraform Associate / Advanced Terraform certifications
• CISSP / CKS (Kubernetes Security)

What Makes This Role Premium

• Ownership of large-scale (200–300 account) cloud environments
• Direct impact on enterprise DevSecOps maturity
• Client-facing architecture & strategy role (not just execution)
• Opportunity to define organization-wide standards

Company Description

NonStop io Technologies, founded in August 2015, is a Bespoke Engineering Studio specializing in Product Development. With over 80 satisfied clients worldwide, we serve startups and enterprises across prominent technology hubs, including San Francisco, New York, Houston, Seattle, London, Pune, and Tokyo. Our experienced team brings over 10 years of expertise in building web and mobile products across multiple industries. Our work is grounded in empathy, creativity, collaboration, and clean code, striving to build products that matter and foster an environment of accountability and collaboration.

Role Description

This is a full-time hybrid role for a Java Software Engineer, based in Pune. The Java Software Engineer will be responsible for designing, developing, and maintaining software applications. Key responsibilities include working with microservices architecture, implementing and managing the Spring Framework, and programming in Java. Collaboration with cross-functional teams to define, design, and ship new features is also a key aspect of this role.

Responsibilities:

● Develop and Maintain: Write clean, efficient, and maintainable code for Java-based applications 

● Collaborate: Work with cross-functional teams to gather requirements and translate them into technical solutions 

● Code Reviews: Participate in code reviews to maintain high-quality standards 

● Troubleshooting: Debug and resolve application issues in a timely manner 

● Testing: Develop and execute unit and integration tests to ensure software reliability

● Optimize: Identify and address performance bottlenecks to enhance application performance 

Qualifications & Skills:

● Strong knowledge of Java, Spring Framework (Spring Boot, Spring MVC), and Hibernate/JPA 

● Familiarity with RESTful APIs and web services 

● Proficiency in working with relational databases like MySQL or PostgreSQL 

● Practical experience with AWS cloud services and building scalable, microservices-based architectures

● Experience with build tools like Maven or Gradle 

● Understanding of version control systems, especially Git 

● Strong understanding of object-oriented programming principles and design patterns 

● Familiarity with automated testing frameworks and methodologies 

● Excellent problem-solving skills and attention to detail 

● Strong communication skills and ability to work effectively in a collaborative team environment 

Why Join Us? 

● Opportunity to work on cutting-edge technology products 

● A collaborative and learning-driven environment 

● Exposure to AI and software engineering innovations 

● Excellent work ethic and culture 

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

NonStop io is seeking a proficient React.js developer to join our front-end development team. In this position, you’ll be mainly crafting and integrating UI components through React.js methodologies and workflows like Mobx and Redux.

Responsibilities:

● Developing and implementing UI components using React.js

● Collaborating with cross-functional teams to design and ship new features

● Building reusable components and front-end libraries for future use

● Translating designs and wireframes into high-quality code

● Optimizing components for maximum performance across various web browsers

● Troubleshooting and debugging issues to ensure smooth user experiences

● Participating in code reviews to maintain code quality and consistency

● Improvement and optimization of existing codebase

● Keeping up with industry trends

● Identifying issues with technologies and architecture and then implementing solutions

● Assist with ticket creation, refinement, and estimation

● Participate in sprint planning and ticket distribution for frontend team

Qualifications & Skills:

● Proficiency in React.js and its core principles

● Strong JavaScript, TypeScript, HTML5, and CSS3 skills

● Experience with popular React.js state management libraries and approaches (such as Mobx, Redux, and Context API)

● Familiarity with RESTful APIs and integration

● Knowledge of modern authorization mechanisms, such as JSON Web Tokens

● Understanding of front-end build tools and pipelines

● Excellent problem-solving and communication skills

● A strong attention to detail, and a passion for delivering high-quality code

● Expertise in designing scalable and efficient front-end architecture

● Adaptability to changing project requirements and priorities

● Experience with version control systems, particularly Git

● Experience working in Scrum and familiarity with Atlassian (Jira, Confluence, Bitbucket)

● Proven experience in leading teams

● Experience with diverse applications and architectural patterns

● A degree in computer science, software engineering, or a related field

● Strong understanding of object-oriented programming principles and design patterns

● Familiarity with automated testing frameworks and methodologies

● Excellent problem-solving skills and attention to detail

● Strong communication skills and ability to work effectively in a collaborative team environment

DailyRounds is a healthcare startup focused on organizing “Knowledge of practice of Medicine” and building a community of Doctors (and healthcare professionals). We hold the largest IP (intellectual property) in clinical medicine in India. We hope to put this IP, network, and our best efforts to help Doctors improve how they diagnose and treat. We are a diverse team of 300 people based in Bangalore.

We are product-driven. We believe businesses should scale and be profitable. We stay away from fads and focus on what makes business sense, what can scale, and what can make a positive impact (in that order).

In April 2019 M3 India, the Indian subsidiary of Japanese Healthtech company M3 (one of the largest healthcare networks globally, listed on the Tokyo Stock Exchange), picked up a majority stake in DailyRounds to foray into case-based problem-solving, community platform and medical test preparation business in India.

What would you be doing here?

• As a Backend SDE III, you will own and scale the critical backend systems behind products trusted by millions of healthcare professionals, working closely with Product, Mobile, Web, and DevOps teams in a lean, fast-moving setup where engineers ship, own, and decide.
• Architect systems that scale - Design, develop, and maintain high-performance, scalable backend systems and APIs that power Marrow and Dailyrounds.
• Own features end-to-end - Lead backend development from technical design and code review through deployment and monitoring. You build it, you ship it, you own it.
• Kill bottlenecks before they bite - Identify and drive performance improvements, hunting down issues in existing systems proactively.
• Raise the bar around you - Run code reviews, mentor junior engineers, and champion engineering best practices across the team.
• Ship with the whole team - Partner with frontend, mobile, and infra teams to deliver seamless product experiences that users actually feel.
• Shape what we build next - Drive technical roadmap discussions and system design decisions that define our future.
• Build to last - Ensure high code quality through unit testing, integration testing, and documentation. At our scale, shortcuts are expensive.

The best-fit candidate would have:

• 6–8 years of backend development experience in product-based environments, owning production systems
• Strong expertise in Python (Flask / FastAPI / Django) and building REST APIs & distributed systems
• Strong experience with non-relational databases (e.g., MongoDB)
• Hands-on experience building AI-powered features or applications including LLM integration, RAG pipelines, Agentic AI, or ML models
• Good understanding of system design, backend security, and performance optimisation
• Experience with cloud platforms (AWS/GCP/Azure) and modern infrastructure (Docker, Kubernetes)
• Strong engineering fundamentals with focus on code quality and testing
• The drive to own systems end-to-end and make technical decisions with conviction
• Strong communication skills with experience in technical leadership and cross-team collaboration

PHP

Job description

We are seeking a highly skilled Senior Software Developer with proven experience in developing and scaling Education ERP solutions. The ideal candidate should have strong expertise in Core PHP, MySQL, and React Native, along with hands-on experience in implementing ERP modules such as HR, Exams, Inventory, Learning Management System (LMS), Admissions, Fee Management, and Finance.

Key Responsibilities

Design, develop, and maintain scalable Education ERP modules.

Work on end-to-end ERP features, including HR, Exam, Inventory, LMS, Admissions, Fees, and Finance.

Build and optimize REST APIs/GraphQL services and ensure seamless integrations.

Optimize system performance, scalability, and security for high-volume ERP usage.

Conduct code reviews, enforce coding standards, and mentor junior developers.

Stay updated with emerging technologies and recommend improvements for ERP solutions.

Required Skills & Qualifications

Strong expertise in Node.js and Core PHP.

Proficiency with MySQL, MongoDB, PostgreSQL (database design & optimization).

Frontend knowledge: JavaScript, jQuery, HTML, CSS (React Native/Vue preferred).

Experience with REST APIs, GraphQL, third-party integrations (payment gateways, SMS, email).

Hands-on with Git/GitHub, Docker, CI/CD pipelines.

Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

6 years of professional development experience, with a minimum of 3 years in ERP systems.

Preferred Experience

Prior work in Education ERP domain.

Deep knowledge of HR, Exam, Inventory, LMS, Admissions, Fees & Finance modules.

Exposure to high-traffic enterprise applications.

Strong leadership, mentoring, and problem-solving abilities

Benefit;

 Permanent Work From Home.

Data Engineer – Databricks & AWS (7+ Years)

Location: Baner, Pune

Work Model:5 days from office

Required Skills

• 7+ years of experience in Data Engineering with strong expertise in Databricks, PySpark, Apache Spark, and SQL.
• Hands-on experience building scalable ETL/ELT pipelines and Data Lake/Lakehouse solutions using Delta Lake.
• Experience with AWS services including S3, Glue, Lambda, IAM, EMR, and Redshift.
• Strong knowledge of Apache Airflow, Git, CI/CD, data quality, performance tuning, and production support.
• Experience with Kafka/Spark Streaming and Banking, Financial Services, or Credit Bureau domains is preferred.

Roles & Responsibilities

• Designed and developed scalable data pipelines using Databricks, PySpark, and AWS to process large-scale credit bureau, customer, loan, and repayment datasets.
• Built ETL/ELT workflows and Delta Lake-based data models to support credit risk analytics, regulatory reporting, and customer profiling.
• Developed and orchestrated batch and near real-time data processing pipelines using Airflow, Kafka, and Spark, ensuring data quality and reliability.
• Optimized Spark workloads through performance tuning techniques, improving processing efficiency and reducing execution time.
• Collaborated with business stakeholders, data architects, and risk teams to deliver data solutions while supporting production environments and operational excellence.

NOTE: One technical round is mandatory to be taken F2F from Pune office.

Job Details:

• Role: Staff Engineer, ArgoCD
• Experience: 5.5-7.5 Years
• Employment Type: Full-time
• Work Mode: Gurugram (Hybrid)

Job Description

REQUIREMENTS:

• Strong hands-on experience with Kubernetes (K8s) administration, deployment, and troubleshooting
• Expertise in GitOps implementation using ArgoCD
• Strong experience with Crossplane for infrastructure provisioning and orchestration
• Hands-on experience with New Relic for monitoring, observability, and performance management
• Experience building and maintaining CI/CD pipelines and deployment automation
• Strong knowledge of Infrastructure as Code (IaC) using Terraform
• Experience working with AWS cloud services and cloud-native architectures
• Hands-on experience with Docker and containerization technologies
• Strong Linux administration and scripting skills
• Experience implementing platform reliability, security, and automation best practices
• Strong understanding of monitoring, logging, and observability frameworks

RESPONSIBILITIES:

• Manage, maintain, and optimize Kubernetes-based infrastructure and application deployments
• Implement and support GitOps workflows using ArgoCD
• Design and manage infrastructure provisioning using Crossplane
• Monitor platform performance, reliability, and user experience using New Relic
• Build, enhance, and maintain CI/CD pipelines for automated software delivery
• Collaborate with development and platform engineering teams to deliver scalable cloud-native solutions
• Implement Infrastructure as Code practices using Terraform and automation tools
• Ensure platform stability, security, scalability, and operational excellence
• Troubleshoot infrastructure, deployment, and performance-related issues
• Drive continuous improvement initiatives across DevOps processes, tooling, and automation practices
• Support cloud infrastructure management and containerized application environments on AWS
• Promote DevOps best practices, governance, and operational standards across teams

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields   

Experience: 5+ years building and operating production-grade Python services. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag8eyxvIdQ5YQCku/form

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Every insight Terrabase delivers travels through a Python service you will own. Our platform powers real-time agent workflows, multi-connector data pipelines, sandboxed execution, and versioned artifact delivery, all streaming live to enterprise customers. Reliable async workers, low-latency APIs, and precise observability are not nice-to-haves here. They decide whether customers trust the system.

Your mission: keep this engine reliable and scale it as we grow.

What You Will Do

Own the FastAPI platform. Design, extend, and operate the core services powering agent orchestration, connector management, schema resolution, streaming chat, and sandboxed execution. Async handlers, SSE and WebSocket support, Pydantic v2 validation, SQLAlchemy with Alembic migrations against PostgreSQL.

Build and scale async workers. Operate Celery workers backed by Redis and RabbitMQ for schema fetching, task routing, stuck-task detection, and real-time notifications. Understand failure modes at the worker level, not just the API level.

Own the context layer pipeline. Build and operate the ingestion pipeline that processes enterprise documents, extracts and ranks business concepts, and builds the structured knowledge layer that agents reason over. This covers connector integrations, chunking strategies, and the data contracts between upstream sources and the agent layer.

Manage data connections at scale. Build and harden runtime connectors to Snowflake, DuckDB, Databricks, BigQuery, and other warehouse and SaaS sources. Handle encrypted credentials, OAuth flows, and live schema discovery. Make connections stay alive, fail cleanly, and recover fast.

Instrument everything. Own the observability stack: Prometheus and Grafana, structured logging with correlation IDs, OpenTelemetry tracing, health endpoints. P99 latency and error budgets are yours to define and defend.

Ship and operate on AWS. Docker-based deployments, Nginx, Terraform, GitHub Actions CI/CD. Write runbooks and post-mortems anyone can use to debug at 2am. Harden secrets management and SOC 2 logging.

Collaborate across teams. The platform serves LangGraph-based agent workflows and React frontends. Design API contracts that enable sub-second streaming responses and zero-downtime releases.

What We Are Looking For

• 5+ years building and operating production Python services
• Strong bias for ownership: you identify problems, propose fixes, and drive them to closure without supervision
• Deep FastAPI expertise: async handlers, dependency injection, middleware, SSE streaming, WebSocket
• Solid Celery and Redis knowledge: retry logic, task routing, idempotency, worker failure recovery
• Hands-on with Docker, Linux, and AWS deployment
• Experience with Terraform or equivalent infrastructure-as-code tooling
• Production observability mindset: Prometheus, Grafana, structured logging, distributed tracing, alerting
• Proficient with type hints, pytest, and modern Python packaging
• PostgreSQL, SQLAlchemy, and Alembic in production
• Clear communicator: your design docs and PRs show first-principles thinking

Bonus Points

• Experience with Snowflake, DuckDB, or Databricks connector patterns
• Prior work integrating LangGraph or LangChain workflows into a production API layer
• Exposure to document processing pipelines, chunking, retrieval, or knowledge graph construction
• Contributions to open-source backend or infrastructure tooling
• Experience operating under SOC 2 or equivalent compliance requirements

Life at Terrabase

Sharp, fully remote team shipping to enterprise customers weekly. Real ownership, generous cloud budgets, and a culture that prizes reliability over ceremony.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

DevOps Engineer

We are looking for a hands-on DevOps Engineer to manage and scale our cloud infrastructure, Kubernetes-based microservice deployments, monitoring systems, and data engineering infrastructure.

The person will be responsible for building reliable, secure, scalable, and cost-efficient infrastructure using automation-first practices. This role is important for supporting a high-growth B2C platform where availability, deployment velocity, observability, security, and cost efficiency are critical.

Key Responsibilities

• Manage and automate cloud infrastructure using Terraform.
• Deploy, manage, and troubleshoot microservices on Kubernetes.
• Build and maintain CI/CD pipelines to ensure reliable, controlled deployments.
• Implement safe release practices, including rolling deployments, rollback, and zero-downtime deployments.
• Manage monitoring, logging, alerting, dashboards, and production runbooks.
• Support incident response, production debugging, RCA, and preventive action closure.
• Ensure infrastructure is scalable, secure, highly available, and cost-optimised.
• Support data engineering infrastructure, including ClickHouse, PeerDB, Airflow, Kafka, and related platform components.
• Maintain infra-level security controls, backups, disaster recovery, and access governance.

Required Skills

• Strong experience with Terraform, Infrastructure as Code, and AWS.
• Strong experience with Kubernetes, Docker, Helm, ingress, and autoscaling.
• Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, ArgoCD, or similar.
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK/OpenSearch, New Relic, or similar.
• Good understanding of cloud networking, DNS, load balancers, VPC/VPN, SSL/TLS, firewalls, and WAF.
• Experience with Linux administration, shell scripting, and automation.
• Understanding of cloud security, IAM, secrets management, and access governance.
• Exposure to databases, queues, caches, and data infrastructure tools such as ClickHouse, PeerDB, Airflow, Kafka, or similar.
• Strong debugging and problem-solving skills during production incidents.
• Ability to work closely with engineering teams to improve deployment, monitoring, cost, and reliability. 

CAW We are looking for a Application Support Engineer to lead customer onboarding, deployments, and production support on the platform. This role sits at the intersection of engineering, customer success, and product and requires strong technical depth combined with excellent skills. You will work directly with enterprise customers to ensure fast, reliable deployments and long-term technical success. This is not a traditional support role; it's a high-ownership, hands-on techno-support and deployment engineering role.

The candidate will have responsibilities across the following functions:

Customer Deployment and Onboarding:

● Own end-to-end deployment of our platform for enterprise customers. ● Configure integrations, workflows, and environment-specific setups.

● Drive fast go-live and post-deployment stabilization.

Customer Interaction and Requirement Gathering:

● Act as the primary technical point of contact for customers.

● Understand customer business flows, data needs, and system constraints.

● Translate requirements into clear technical inputs for Product and Engineering teams.

Production Support (L1 and L2):

● Handle L1/L2 production support for customer-reported issues.

● Debug data, integration, performance, and infrastructure issues.

● Act as a technical escalation point during critical incidents.

Data and ETL Support:

● Understand and troubleshoot ETL pipelines and data workflows.

● Support ingestion, transformation, validation, and reconciliation of data.

● Work with APIs, databases, and file-based integrations.

Product Feedback and Documentation:

● Share real-world customer feedback, gaps, and edge cases with Product teams.

● Create deployment guides, runbooks, and internal documentation.

Requirements:

● 4-8 years of experience in customer-facing technical roles.

● Strong understanding of ETL pipelines and data workflows.

● Experience working with AWS, GCP, or Azure cloud environments.

● Knowledge of cloud networking fundamentals.

● Knowledge of Java, Spring Boot, Python, and Postgres is a must.

● Familiarity with SQL, APIs, monitoring, and logging tools.

● Strong troubleshooting and problem-solving skills.

● Excellent written and verbal communication skills.

● Experience with SaaS, FinTech, or enterprise platforms.

● Prior roles in Solutions Engineering, Deployment Engineering, or Technical Support (L2/L3).

● Startup or high-growth environment experience.

● Effective Communication: Clear and precise communication to collaborate effectively across teams.

● Curiosity and Growth: A proactive learner with a passion for continuous improvement and innovation.

About CAW Studios

CAW Studios is a Product Engineering Company of 150+ geeks.

We have built these products - Interakt, CashFlo, KaiPulse, and FastBar. And we still run their complete engineering.

We are part of the engineering teams for Haptik, EmailAnalytics, GrowthZone, Reliance General Insurance, and KWE Logistics.

We are obsessed with automation, DevOps, OOPS, and SOLID. We are not into one tech-stack - we are into solving problems.

Find us: https://goo.gl/maps/dvR6L26JUa42

Website: https://www.caw.tech/

Job Description:

Job Description: DevOps Engineer

Experience-3+yrs

As a DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports our platform and solutions. You will work closely and collaborate with various development and operations teams to ensure seamless integration and deployment of our solutions.

Responsibilities:

• Design, implement, and manage scalable and reliable IoT infrastructure on Raspberry Pi OS, various backend services using Java and AI stack Automate deployment, monitoring, and management of IoT applications.
• Collaborate with development teams to ensure continuous integration and continuous deployment (CI/CD) pipelines are efficient and effective. Manage various AWS services such as EC2, S3, Redis, RDS, Lambda, and VPC, Cognito etc.,
• Manage various Cloud infrastructure using both Kubernetes(k8) and AWS stacks for both lower and production environments Implement security best practices to protect both platform and IoT data and infrastructures.
• Develop and maintain infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation. Troubleshoot and resolve infrastructure-related issues along with operations and development teams
• Monitor system performance, identify issues, and implement solutions to ensure high availability and reliability. Plan and provision on-demand and stable various Cloud infrastructures in AWS and other Clouds with guided planning, scoping, costing and visibility to whole platform infrastructures with cost optimizations and utilization efficiency
• Stay up-to-date with the latest industry trends and technologies DevOps Familiarity with Dev SecOps & ML-Ops, Git-Ops practices

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field. Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies using Docker, Kubernetes etc.,
• Experience with CI/CD tools such as Jenkins, GitLab CI, or Circle CI. Proficiency in scripting languages (Python, Bash, Shell etc.).
• Good understanding and hands-on with Networking, security, and system administration in AWS environment will be ideal Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Performance Testing Engineer

Experience

5 – 12 Years

Location

Bangalore | Chennai | Pune | Hyderabad | Gurgaon | Trivandrum | Bhubaneswar | Kolkata

About the Role

We are looking for an experienced Performance Testing Engineer who is passionate about ensuring system scalability, reliability, and performance across enterprise applications. This role involves hands-on scripting, execution, analysis, and performance engineering using industry-leading tools and monitoring platforms.

As a candidate, you will work closely with engineering, DevOps, and application teams to identify bottlenecks, analyze system behavior under load, and help improve overall system performance.

Key Responsibilities

• Design, develop, and execute performance test scripts using tools like JMeter and LoadRunner
• Perform load, stress, endurance, and scalability testing across applications
• Work with multiple protocols including:
• 
  
• HTTP/HTML
• Web Services
• Ajax TruClient
• MQ Protocol
• SAP
• Java-based applications
• 
  
• Analyze performance test results and provide actionable insights and recommendations
• Use monitoring tools to identify system bottlenecks at application, database, and infrastructure levels
• Collaborate with development and DevOps teams for performance tuning and optimization
• Support test debugging and performance engineering activities
• 
  

Must-Have Skills

• Strong hands-on experience with JMeter and/or LoadRunner
• Experience working with multiple performance testing protocols
• Hands-on exposure to at least one monitoring tool, such as:
• Splunk
• AppDynamics
• Dynatrace
• Grafana
• Solid understanding of performance test analysis and reporting
• 
  

Good to Have (Desirable Skills)

• Basic knowledge of AWS / Kafka / MQ
• Ability to write basic database queries (SQL)
• Working knowledge of Unix/Linux commands\
• Understanding of performance engineering concepts in distributed systems
• 
  

Minimum 8+ years of hands-on experience in Site Reliability Engineering (SRE) and/or DevOps.

Proven experience in a Technical Lead/Team Lead role.

Strong expertise in Linux administration and troubleshooting.

Hands-on experience with automation and scripting (Shell, Python, PowerShell, etc.).

Strong knowledge of DevOps tools and CI/CD pipelines.

Experience working on at least one major cloud platform: Azure, AWS, or GCP.

Experience managing production environments with a focus on availability, reliability, monitoring, and incident management.

Strong troubleshooting, problem-solving, and root cause analysis skills.

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

You will be part of the DevOps engineers' team, managing large customer deployments including Linux and Windows Administration, Large Enterprise Application, and Big Data Workloads. You will have broad business and technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. You will help us build scalable, efficient cloud infrastructure.

You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.  If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Application migration projects from on-premises to AWS.
• Database (RDBMS, NoSQL, DW, Hadoop) migration projects from on-premises to AWS. 
• Automate operational and server provisioning workflows using AWS CFT on AWS.
• Share the responsibility for deploying releases and conducting other operations maintenance.
• Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
• Provide operational support for the rest of the Engineering team.
• Help migrate our remaining dedicated hardware infrastructure to the cloud.
• Establish and maintain operational best practices.

What do you have?

• 2+ years of experience in using Terraform for IaaC.
• 2+ years of configuration management and engineering for large scale customers, ideally supporting an Agile development process.
• 2+ years of Linux Administration experience.
• Deep understanding of version control systems (git), including branching and merging strategies.
• Experience working with cloud platforms (AWS/EC2/ ECS/ RDS/ CloudFormation, Cloudwatch, etc.) and cloud automation tools (Ansible, Chef).
• Experience with software build tools (Maven, Gradle) and continuous integration tools (Jenkins).
• Must have supported Java-based applications in a production environment.
• Experience with Linux environments and scripting languages - bash, python, Groovy.
• Experience in supporting Node.js in production is a plus.
• Knowledge of service discovery tools such as Consul is a plus.
• Comfortable working late evening hours, which is when most patching occurs.
• You are extremely proactive at identifying ways to improve things and make them more reliable.

You will be preferred if

• You are AWS DevOps Pro or AWS SA Pro Certified

Job Title : Android Developer (SDE II)

Experience : 3 to 6 Years

Location : Mumbai (Work From Office) / Remote

Employment Type : Contractual Opportunity

Contract Duration : 6 Months + Extendable

Job Summary :

We are looking for an experienced Android Developer (SDE II) to join our Wealth and Asset Management platform team. The ideal candidate should have strong expertise in Kotlin, Android SDK, Android Studio, and modern Android architecture, with the ability to build high-performance and user-friendly applications.

Mandatory Skills :

Kotlin, Android SDK, Android Studio, Jetpack Compose, XML Views, Android Architecture Components (ViewModel, LiveData, Room, WorkManager), MVVM, REST APIs (Retrofit, OkHttp), Firebase Cloud Messaging (FCM), and CI/CD tools such as Jenkins, AWS, and Bitbucket.

Key Responsibilities :

• Design, develop, and maintain Android applications.
• Implement new features and optimize application performance.
• Build responsive and high-quality user interfaces following Material Design guidelines.
• Debug, test, and resolve issues to ensure application stability.
• Collaborate with cross-functional teams throughout the development lifecycle.
• Publish and maintain applications on the Google Play Store.

Required Skills :

• 3 to 6 years of experience in Android application development.
• Strong proficiency in Kotlin, Android SDK, and Android Studio.
• Experience with Jetpack Compose and XML-based View System.
• Knowledge of Android Architecture Components (ViewModel, LiveData, Room, WorkManager).
• Understanding of design patterns such as MVVM, MVI, MVP, Repository Pattern.
• Experience with REST APIs using Retrofit and OkHttp.
• Familiarity with Firebase Cloud Messaging (FCM).
• Knowledge of Material Design principles and Play Store publishing guidelines.
• Exposure to CI/CD tools such as Jenkins, AWS, and Bitbucket.

Preferred Skills :

• Full-stack development experience.
• Knowledge of UI/UX best practices.
• Experience with Google Play Store release and deployment processes.

AWS & Cloud Computing Trainer

Ignite Careers. Inspire Innovation. Shape the Future of Cloud Technology.

KGiSL Educational Institution is looking for a passionate and dynamic AWS & Cloud Computing Trainer to empower the next generation of cloud professionals. If you have expertise in AWS and a passion for teaching, this is your opportunity to make a lasting impact.

Strong knowledge of AWS services such as EC2, S3, RDS, VPC, IAM, and Lambda.

Understanding of cloud computing, networking, Linux, and cloud security.

Excellent communication, presentation, and mentoring skills.

Passion for teaching and helping students succeed.

AWS certifications are an added advantage.

AWS & Cloud Computing

We are looking for a passionate and motivated AWS & Cloud Computing Professional to join our team. The ideal candidate should have a strong understanding of cloud computing concepts and AWS services, with the ability to deploy, manage, and maintain cloud-based solutions.

Key Responsibilities:

• Design, deploy, and manage cloud infrastructure using AWS services.
• Monitor and maintain cloud environments to ensure performance and availability.
• Configure and manage AWS services such as EC2, S3, RDS, VPC, and IAM.
• Implement cloud security best practices and access controls.
• Troubleshoot and resolve cloud infrastructure issues.
• Collaborate with development and operations teams to support cloud-based applications.
• Assist in automating deployment and infrastructure management processes.
• Stay updated with the latest AWS technologies and industry trends.

Required Skills:

• Knowledge of AWS services and cloud computing concepts.
• Understanding of Linux, networking, and system administration.
• Familiarity with scripting languages such as Python or Shell.
• Basic knowledge of Docker, Kubernetes, or DevOps tools is an added advantage.
• Strong problem-solving and communication skills.

Appiness is a Bengaluru-based technology and product engineering company. We work with enterprises and high growth startups across the globe, building digital products that scale. We build enterprise AI, agentic and conversational AI, and cloud-native platforms across web, mobile, and cloud. We invest deeply in modern tech, with a strong bias for clean architecture, automation, and engineering craft across everything we build. With 50+ international design awards and recognition among India's fastest-growing companies, we're proud of the bar we set on both technology and experience. We love what we build, and we have fun building it.

What you'll do

• Design, provision, and manage AWS infrastructure across dev, staging, and production using Terraform modules and remote state.
• Build and maintain CI/CD pipelines for fast, reliable, repeatable deployments across multiple services.
• Containerize applications with Docker and orchestrate workloads on ECS or Kubernetes with sensible scaling and rollout strategies.
• Set up monitoring, alerting, and centralized logging so issues are caught and triaged before customers feel them.
• Own cloud security end to end: IAM hygiene, secrets management, network segmentation, encryption in transit and at rest, and patching across client accounts.
• Harden infrastructure against common attack surfaces, run vulnerability scans on containers and dependencies, and stay aligned with industry security standards.
• Partner with engineering teams to streamline release cycles, reduce lead time, and remove friction from day-to-day workflows.
• Document architecture, runbooks, and post-incident learnings so the platform and the team scale together.

What we're looking for

• 3+ years of hands-on DevOps or Cloud Engineering experience in production environments.
• Strong AWS fundamentals: VPC, EC2, ECS/EKS, RDS, S3, IAM, CloudWatch, Route 53, ALB/NLB.
• Production experience with Terraform, including modules, remote state, drift management, and multi-environment patterns.
• Comfort with Docker, container registries (ECR), and image security and patching practices.
• CI/CD experience with Jenkins or GitHub Actions, including secret handling and approval gates.
• Solid grasp of cloud security: IAM, secrets management, network policies, TLS, and least- privilege design.
• Exposure to vulnerability scanning, container hardening, and security best practices in CI/CD pipelines.
• Scripting in Python or Bash for automation, glue, and small internal tools.
• Solid Linux system administration and networking fundamentals.

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
• We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Description – Software Engineer (Java Spring Boot + Angular)

Location: Whitefield, Bangalore (Work from Client Office)

Experience: 4–8 years

Role Overview

We are hiring Software Engineers with strong experience in Java Spring Boot and Angular to work on enterprise-level applications at the client office in Whitefield, Bangalore.

Key Responsibilities

• Develop and maintain backend services using Java, Spring Boot, REST APIs.
• Build interactive front-end modules using Angular.
• Collaborate with the lead, QA, and product team for high-quality delivery.
• Understand requirements, participate in design discussions, and contribute to technical solutions.
• Write clean, maintainable, and scalable code.
• Perform unit testing and integration testing.
• Fix bugs, optimize code, and improve application performance.

Technical Skills Required

• Strong coding skills in Java 8+, Spring Boot, RESTful API development.
• Experience working with Angular.
• Good understanding of Microservices concepts.
• Strong knowledge of SQL/NoSQL databases.
• Experience with version control (Git), CI/CD pipelines, and build tools.
• Familiarity with cloud services is a plus.

Soft Skills

• Good communication and teamwork skills.
• Ability to work independently and handle tasks with minimal supervision.
• Strong debugging and problem-solving skills

Senior Xano Developer

Visual Backend Development, APIs & AI-Assisted Build

📍 Mumbai (On-site) | Full-time | 3-5 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Xano Developer who will build backend systems and APIs for our customer engagements on Xano, the visual backend development platform.

The mandatory requirement for this role is hands-on production backend engineering experience, including PostgreSQL data modelling and REST API design, in either a Node.js or Python environment.

Prior production work on Xano is strongly preferred.

The role is hands-on and customer-facing. You will own backend delivery across engagements: designing data models, building API flows in Xano, integrating third-party services, and partnering with frontend, mobile, and AI engineers on contracts and behaviour.

The work spans all three Xano build modes: no-code function stacks, custom code through Xano’s scripting and code blocks, and Xano’s AI assistance and agentic features.

A typical week includes a data model review for a new engagement, building a complex API flow in Xano, integrating a third-party webhook, and a customer working session on a new module.

Responsibilities:

Backend Delivery on Xano

Own end-to-end backend implementation on Xano: database schema, API endpoints, function stacks, background tasks, and integrations.

Ship production-ready work that meets customer requirements and engineering quality standards.

Build Across All Three Xano Modes

Use Xano’s no-code function stacks for standard CRUD and business logic.

Drop into custom code (JavaScript, Python through code blocks, expressions) where visual flows would be unwieldy.

Use Xano’s AI assistance and agentic features to accelerate routine build work.

Database Design on PostgreSQL

Own data model decisions for each engagement: table design, relationships, indexes, addons, and query performance.

Make schema choices that hold up as product usage grows and that map cleanly to the API contracts the client needs.

API Design and Integration

Design clean REST API contracts that the frontend, mobile, and third-party consumers can rely on.

Cover authentication, input validation, pagination, error handling, and rate limiting.

Integrate external services (payment gateways, messaging, storage, AI providers) through Xano’s connectors and custom requests.

Product Thinking and Solutioning

Translate fuzzy product asks from customers into concrete backend solutions.

Ask the right questions about edge cases, data lifecycle, multi-tenancy, and access control before building.

Push back on requirements that will cause pain later.

Customer Communication

Work directly with customers in discovery, design reviews, demos, and weekly working sessions.

Explain trade-offs in plain language, present options with clear recommendations, and write tight technical updates.

AI-Assisted Backend Development

Use Xano’s built-in AI features as well as external AI tools (Claude, Cursor, and similar) day to day for schema drafts, function stack scaffolding, query writing, integration setup, and review.

Develop strong instincts for when AI output is usable as-is and when it must be reworked.

Quality, Testing, and Reliability

Test the flows you ship.

Set up sensible error handling, logging, and alerts for the backend services you own.

Participate in incident response when something breaks in production.

Documentation and Handover

Document data models, API contracts, and non-obvious decisions inside Xano and in shared docs so the rest of the team and the customer can pick up the work without you in the room.

Continuous Learning

Track changes to the Xano platform, including new features, performance improvements, and AI capabilities.

Apply them to active engagements where they reduce build effort or improve product outcomes.

Requirements:

Hands-on Production Backend Engineering Experience (Mandatory)

Must have personally shipped backend systems to production for real users, with ownership of API design and data modelling.

POCs, coursework, and internal-only tools do not qualify.

3 to 5 Years of Professional Backend Engineering Experience

In either a Node.js or Python environment.

Candidates with slightly less time but strong demonstrated ownership are welcome to apply.

Strong PostgreSQL Skills

Schema design, indexing, query writing, and migrations on at least one production system.

Able to reason about query performance and design data models that hold up under realistic product usage.

REST API Design and Integration Depth

Comfort designing API contracts that are clean, predictable, and easy for frontend, mobile, and third-party consumers to work with.

Experience integrating external services such as payment gateways, messaging providers, storage, and AI APIs.

Familiarity with at Least One Node.js or Python Backend Stack

Such as Express, NestJS, Fastify, FastAPI, Django, or Flask.

Comfort reading and writing application code outside of visual environments when the situation calls for it.

Product Thinking and Solutioning

Ability to take a fuzzy product brief, ask the right questions, and propose a backend design that is fit for purpose.

Strong instincts for what to build first, what to defer, and what not to build.

Strong Written and Spoken English Communication

Confident in customer working sessions and design reviews.

Comfortable writing precise technical documentation and explaining trade-offs to non-engineering stakeholders.

Cloud and Deployment Fundamentals

Working knowledge of at least one of AWS, GCP, or Azure: deploying services, reading logs, managing environments, and basic operational tasks.

Familiarity with Docker is a plus.

Bachelor’s Degree

Bachelor’s degree in Computer Science, Information Technology, or a related engineering discipline.

Exceptional candidates with demonstrable production experience and strong portfolios may be considered without a formal degree.

Nice to Have

• Prior production experience on Xano, Bubble, Retool, or comparable visual or low-code backend platforms
• Full stack experience with React, Next.js, React Native, or Flutter
• Experience integrating LLM APIs (OpenAI, Anthropic, Google) into backend workflows
• Multi-tenant SaaS product experience
• Prior agency, consulting, or product-engineering experience

Technical Requirements

Any one Cloud Certification is madatory (AZ104 / AWS solution)

· Strong knowledge of application operations in cloud environments (Azure - Must , AWS understanding)

· Proficiency in monitoring and observability tools (Datadog, Grafana, Prometheus, ELK).

· Experience with incident management, RCA, and operational troubleshooting.

· Understanding of CI/CD concepts, tooling and ability to work with release teams.

· Familiarity with infrastructure components: load balancers, storage networking, DNS and certificates.

· Experience with automation and scripting (Bash, Python, PowerShell).

· Knowledge of application deployment patterns (blue/green, rolling, canary).

· Understanding of security practices: access controls, vulnerability handling, compliance alignment.

· Ability to interpret logs, metrics, traces, and performance data.

· Experience managing multi-environment application lifecycles (Dev, QA, UAT, Prod).

· Experience with Infrastructure as Code (IaC) tools such as Terraform, ARM, AWS CloudFormation for

environment provisioning and configuration consistency.

Functional Requirements

· Ability to ensure 24x7 application reliability and operational excellence.

· Manage end-to-end application lifecycle including deployments, configurations, and environment

health.

· Collaborate with engineering, CloudOps, and Security teams to ensure smooth operations.

· Own operational KPIs such as uptime, MTTR, change success rate, and SLA/SLO adherence.

· Perform release coordination, deployment validation, and post-release monitoring.

· Lead incident response, communication, and escalation handling.

· Participate in change management and risk assessments for all application changes.

· Maintain runbooks, SOPs, and operational documentation.

· Drive continuous improvement for operational workflows and process maturity.

· Support audit, compliance, and security requirements for applications.

Full Stack Support Engineer

Node.js, React & Production Application Support

📍 Remote | Full-time | Night Shift | 3+ Years

About the Role

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Full Stack Support Engineer who will own day-to-day application support for a live customer product built on Node.js and React, working a fixed night shift aligned to North American business hours.

The mandatory requirements for this role are prior professional experience working a night shift, and the willingness to continue working a permanent night shift, Monday through Friday, approximately 7:00 PM to 4:30 AM IST, with on-call support coverage on weekends.

The role is fully remote.

The work is hands-on across the stack: triaging issues from monitoring alerts and customer tickets, performing root cause analysis, shipping bug fixes, applying minor framework and library updates, and communicating with the customer directly during the shift.

When there is no active support work, the engineer will contribute to other development projects within the company, so consistent productive output across the shift is expected.

Responsibilities:

Incident Response and SLA Adherence

Acknowledge and act on alerts and customer-raised tickets within the SLA window.

Critical incidents require response within 1 hour and best-effort resolution within 2 to 4 hours.

P1 issues require response within 2 to 4 hours and resolution within 1 business day.

P2 and P3 issues follow the documented SLA matrix.

Bug Fixes and Production Support

Investigate and resolve defects in previously built functionality across the customer-facing portal, internal portal, backend services, and third-party integrations.

Write clean fixes with appropriate tests and documentation.

Monitoring and Proactive Triage

Operate the application and infrastructure monitoring stack.

Investigate anomalies before they become incidents.

Tune alerts to reduce noise and improve signal.

Customer Communication During the Shift

Communicate directly with the customer in English during incidents and routine support, in writing and on calls.

Set clear expectations on status, root cause, and timeline.

Close the loop after resolution.

Minor Framework and Dependency Updates

Apply minor version upgrades to operating systems, frameworks, and libraries to maintain compatibility and security.

Test rigorously before promoting to production.

Hands-On Development Across the Stack

Work in the existing Node.js (Express, NestJS) backend and React frontend codebase.

Make focused changes that respect the existing architecture and patterns.

Contribution to Other Development Projects

When the support workload is light, contribute to other active development projects within Unico Connect.

Pick up well-scoped tasks, ship them to the team’s quality standard, and remain available to drop back into support work as soon as it is needed.

Root Cause Analysis and Write-Ups

For every meaningful incident, document the cause, the fix, the customer impact, and any follow-up actions to prevent recurrence.

Weekend On-Call Coverage

Provide on-call support coverage on weekends.

Respond to alerts and customer tickets within the defined SLA window.

AI-Assisted Support Workflows

Use Claude, Cursor, and similar tools day to day for triage, log analysis, code reading, and patch drafting.

Apply judgment on when to trust AI-generated output and when to verify.

Handover Discipline

Maintain clean shift handover notes for the day-shift team.

Track open issues, in-progress investigations, and customer commitments so nothing drops between shifts.

Requirements:

Prior Professional Night-Shift Experience (Mandatory)

Candidates must have worked a permanent night shift in a prior professional role for a meaningful period of time.

Adjacent late-evening shifts or occasional on-call do not qualify.

Willingness to Work a Permanent Night Shift Aligned to North American Business Hours, with On-Call Support Coverage on Weekends (Mandatory)

The shift is Monday to Friday, approximately 7:00 PM to 4:30 AM IST.

Candidates who cannot commit to night-shift hours on an ongoing basis should not apply.

3+ Years of Professional Full Stack Engineering Experience

With hands-on production work in both Node.js and React.

Strong JavaScript and TypeScript Proficiency

With React on the frontend and Node.js (Express, NestJS) on the backend.

API design experience with REST.

Comfortable reading and modifying an existing production codebase without breaking adjacent functionality.

Production Debugging and Incident Response Instincts

Ability to read logs, traces, and metrics to isolate a problem quickly.

Comfort triaging across application code, database queries, third-party API failures, and infrastructure.

Working Experience with Relational Databases

(PostgreSQL or MySQL), including reading and writing SQL, basic schema understanding, and the ability to investigate data-related incidents.

Familiarity with Cloud Infrastructure

On AWS, GCP, or Azure, at the level of reading logs, restarting services, deploying through CI/CD pipelines, and basic operational tasks.

Working Knowledge of Git, CI/CD Pipelines, and Monitoring Tools

At least one monitoring or observability tool (Datadog, New Relic, Sentry, CloudWatch, Grafana, or equivalent).

Strong Written and Spoken English Communication

This role involves direct customer interaction during the shift.

Calm, clear, professional communication in writing and on calls is non-negotiable.

Bachelor’s Degree

Bachelor’s degree in Computer Science, Information Technology, or a related engineering discipline.

Exceptional candidates with demonstrable production experience and strong portfolios may be considered without a formal degree.

Alertness, Judgment, and Ownership Mindset

Night-shift support work demands self-direction, attention to detail under low-supervision conditions, and the discipline to follow process when fatigued.

Nice to Have

• Prior experience in application support, AMC, or managed services engagements
• On-call experience with documented SLAs
• Experience with feature flag tools, error tracking platforms, or APM dashboards
• Exposure to AI-assisted development tools in a support context

Senior AI Engineer

Code Generation, Agent Architecture & LLM Systems

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior AI Engineer for a dedicated client engagement focused on building an AI-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code.

The mandatory requirement for this role is hands-on production experience shipping LLM-powered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage.

The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy.

You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent Architecture

Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions.

Make and revisit architectural decisions on single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair sub-agents.

Code Generation Pipeline

Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit.

Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies.

Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-Repair Loop

Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation.

This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context Management

Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval.

Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes.

Own token budgeting and prompt caching strategy.

Prompt Engineering as a Discipline

Own the system prompt and per-task prompt variants (new feature, bug fix, styling change).

Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites.

Version prompts like code with changelogs and rollback capability.

Evaluation and Quality Measurement

Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant.

Define regression gates that block quality-degrading changes from shipping.

Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.

This responsibility is non-negotiable at this level.

Model Strategy and Cost

Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation.

Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection.

Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and Reliability of Agent Behaviour

Defend against prompt injection from user content and fetched web content.

Ensure secrets never appear in generated client code.

Define what the agent's tools may and may not do in collaboration with the platform team.

Contribute to output moderation and abuse-pattern awareness.

Mentorship and Engineering Standards

Run code reviews, define engineering conventions for AI work, and raise the engineering bar across the AI team.

Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on Production Ownership of LLM-Powered Systems with Agent Architectures (Mandatory)

Must have personally shipped and operated at least one complex production AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.

POCs, internal demos, and tutorial-grade work do not qualify.

5+ Years of Professional Software or AI Engineering Experience

With at least 3 years focused on LLM applications, AI engineering, or production AI systems.

Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python Proficiency and Service Development

Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging.

Not notebook-only.

Depth Across LLM APIs and Agent Systems

Production experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).

Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, Systematic Evaluation Practice - Non-Negotiable

Must have built evaluation harnesses that gate production releases, not ad-hoc testing.

Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval.

Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost Discipline for Production AI

Track record of measurable cost optimisation on production AI features.

Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS Working Knowledge

Hands-on with EC2, S3, IAM, and Docker.

Comfort with CI/CD workflows and deploying AI services.

Awareness of LLM Security Failure Modes

Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to Have

• Experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work
• MCP server authoring
• Open-source AI contributions
• Published technical writing on LLM systems
• Multi-modal model experience
• Fine-tuning exposure (LoRA, QLoRA, PEFT)

Senior MLOps Engineer

LLM Operations, Observability & Eval Infrastructure

📍 Mumbai (On-site) | Full-time | 5-7 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.

This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.

The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.

The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.

A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.

Responsibilities:

Observability and Tracing

Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.

Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).

Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.

Evaluation Infrastructure as a Production System

Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.

Implement regression gates that block quality-degrading changes from shipping.

Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.

Model Lifecycle Management

Pin model versions, never "latest".

Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.

Maintain fallback chains across providers for graceful degradation or queueing during outages.

Track provider deprecation schedules and plan migrations ahead of forced cutoffs.

Cost Operations

Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.

Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.

Monitor prompt cache hit rates and quantify savings.

Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.

Prompt and Configuration Deployment

Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.

Reliability Engineering for Agent Runs

Agent runs are long, stateful, and failure-prone.

Own retry and resume semantics so a run that fails mid-way does not restart from scratch.

Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.

SLO Ownership and Incident Response

Define and track SLOs for agent run latency and completion rates.

Lead incident response when SLOs are breached.

Write postmortems.

Surface reliability risks proactively before they reach users.

Safety and Compliance Operations

Run the moderation pipeline (prompt and output classification) in production.

Monitor for abuse patterns and own incident response when the agent misbehaves at scale.

Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on production ownership of LLM-backed systems in operation (mandatory).

Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.

Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).

POCs and lab work do not qualify.

5+ years of overall engineering experience

With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.

This is not an ML science role.

A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.

Observability and Tracing Depth

Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.

Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.

Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.

CI/CD and Quality Gate Experience

Strong with GitHub Actions or GitLab CI.

Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.

Cost Management and Attribution for Usage-Based Services

Experience owning cost attribution for cloud API spend or equivalent.

Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.

Reliability Engineering for Long-Running, Stateful Workloads

Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.

Comfortable defining SLOs and being accountable for them on production systems.

Multi-Provider API Management

Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.

Infrastructure as Code and Deployment Automation

Hands-on with Terraform or Pulumi and Docker.

AWS working knowledge (EC2, S3, IAM, EKS or ECS).

Strong with CI/CD for deploying services and configuration changes safely.

Nice to Have

• Experience with prompt A/B testing or staged rollout infrastructure
• Workflow orchestration (BullMQ, Temporal, Celery)
• Content moderation pipeline experience
• Data residency and compliance requirements for AI systems
• Kubernetes (EKS) in production
• AWS certifications

About StepSecurity

StepSecurity, a US-based cybersecurity startup prevents, detects, and responds to software supply chain attacks by analyzing behavior across the full software development lifecycle for both developers and AI coding agents. We are building a vertical AI agent for supply chain security across three pillars: securing AI agents on developer machines, OSS package security, and CI/CD security, covering the entire agentic pipeline from dev environment to cloud.

We are a 16-person team, founded by Varun Sharma (ex-Microsoft, 21 years, led supply chain security for Azure) and Ashish Kurmi (ex-Uber, Microsoft, Plaid, 17 years).

About the Job

We are seeking backend engineers to build and maintain our CI/CD security platform's backend systems and components (GitHub Actions). This high-impact role involves setting best practices and owning engineering processes, with contributions used by thousands of developers globally. Our primary languages are Golang and Node.js.

Requirements

• 2–5 years of experience, strong engineering fundamentals (cyber security background not mandatory), AI-native mindset, comfortable with a hands-on zero-to-one environment. We use Golang as our primary language.
• Must-haves: Golang backend programming; AWS/Azure/GCP background; scalable/fault-tolerant system design.
• For all engineering positions, prior early-stage startup experience is a must-have requirement.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Solid understanding of software development principles, design patterns, and best practices.Expertise in building scalable and fault-tolerant systems.
• Strong collaborative and problem-solving skills.
• Self-motivated, creative thinker with a drive for continuous improvement.
• Experience in a startup or high-impact, outcome-driven environment.

Location

India remote. Candidates should be able to overlap a few hours with Pacific Time (PT) when working on urgent customer issues as required.

Responsibilities

• Design, develop, and maintain robust, scalable software solutions.
• Architect and implement CI/CD components (GitHub Actions).
• Deliver features incrementally in quick iterations.
• Write clean, efficient, and maintainable code following industry best practices.
• Conduct code reviews and provide constructive feedback.
• Troubleshoot and debug complex software issues promptly.

Why Join Us

• StepSecurity is at the forefront of supply chain security research and product development. We were the first to detect several major supply chain attacks in 2025 and 2026 such as the axios npm compromise, tj-actions, etc (https://www.stepsecurity.io/newsroom)
• Our research and findings are regularly cited by major publications such as Bloomberg, TechCrunch, Hacker News, and Dark Reading. The Cybersecurity and Infrastructure Security Agency (CISA), the primary cybersecurity agency for the US federal government, has published several cybersecurity advisories citing StepSecurity (e.g., https://www.cisa.gov/news-events/alerts/2025/09/23/widespread-supply-chain-compromise-impacting-npm-ecosystem)
• In addition to having several enterprise customers, StepSecurity has been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, Datadog, and others.
• Engineers joining now get to work on hard, high-impact problems at the intersection of security, AI, and open source, with meaningful equity upside at an early stage.

About the Role

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Backend Engineer for a dedicated client engagement building an AI-powered application builder platform.

The backend is the operational core of the product: it manages user projects and sessions, coordinates long-running AI agent workloads, maintains project state, and serves as the integration layer between the frontend, the AI system, and the underlying infrastructure.

The mandatory requirement is hands-on production experience shipping Node.js services, with end-to-end ownership of API design, data modelling, and at least one production system involving background job processing or event-driven patterns.

Responsibilities

API and service development: Design and build REST APIs in Node.js with TypeScript. Cover authentication, session management, input validation, structured error handling, streaming responses (SSE, WebSockets), and rate limiting. Maintain clean API contracts that the frontend and AI system can rely on.

Database design and management: Own PostgreSQL schema design for product domains including user accounts, projects, file trees, session state, and generated artefacts. Write efficient queries, manage migrations, and optimise for read patterns that serve a real-time editor experience.

Caching strategy: Implement and maintain caching with Redis for session data, project state, and frequently read configuration. Design cache invalidation logic that keeps the editor experience consistent without stale reads.

Queue and background job management: Implement and operate background job infrastructure using BullMQ or equivalent. AI agent runs are long-running and stateful; handle retries, failure states, priority queues, and concurrency limits.

AI system integration: Build the integration layer between the backend and the AI agent system. Manage job dispatch, result handling, streaming output to the frontend, and error propagation.

Multi-tenancy and access control: Implement tenant data isolation, RBAC, and resource ownership enforcement across all API surfaces.

Observability and reliability: Instrument services with structured logging, metrics, and tracing. Write defensive code with sensible timeouts, fallback behaviour, and circuit breaking on external dependencies.

Testing and code quality: Write unit and integration tests for the services you ship. Review the work of peers and contribute to shared engineering conventions.

Requirements

• Hands-on production Node.js experience (mandatory) — must have personally shipped at least one feature area end to end in a production Node.js service, owning API design, data modelling, and testing.

• 3 to 5 years of professional backend engineering experience. Candidates with slightly less time but strong demonstrated ownership are welcome to apply.

• Strong Node.js and TypeScript. Production experience with Express, NestJS, or Fastify. Solid with async patterns, streaming, error handling, and building services that run reliably under sustained load.

• PostgreSQL depth. Schema design, query writing, indexing, and migrations on at least one production system.

• Redis and caching. Production experience using Redis for caching and session management. Understands cache invalidation trade-offs.

• Queue and background job systems. Hands-on with BullMQ, RabbitMQ, SQS, or equivalent. Experience managing retries, dead-letter queues, job priority, and concurrency control.

• AWS working knowledge. Comfortable with EC2, S3, RDS, SQS, and IAM. Familiar with Docker and basic deployment and environment management.

• Strong written and spoken English. Able to communicate clearly with engineers across disciplines and write precise technical documentation.

Nice to Have

Experience integrating with AI or LLM services (streaming responses, structured outputs, retry patterns); WebSocket or SSE implementation for real-time features; multi-tenant SaaS product experience; GraphQL; OpenTelemetry instrumentation; prior work on developer tools or editor-style products.

Job Description – Technical Lead (Java Spring Boot + Angular) – Capital Markets / Financial Services Project

Location: Whitefield, Bangalore (Work from Client Office)

Experience: 8–14 Years

Role Overview

We are seeking an experienced Technical Lead with strong expertise in Java Spring Boot and Angular to lead the development of enterprise-grade applications for a large-scale Banking/Financial Services project. The ideal candidate will combine hands-on technical leadership with strong architecture, design, and stakeholder management capabilities while driving the delivery of high-performance, secure, and scalable solutions.

Key Responsibilities

• Lead and mentor a team of 8–10 developers across front-end and back-end technologies.
• Design, develop, and maintain scalable applications using Java, Spring Boot, Microservices, and Angular.
• Drive technical solutioning, architecture discussions, and application modernization initiatives.
• Collaborate with business stakeholders, product owners, architects, and cross-functional teams to translate business requirements into technical solutions.
• Ensure adherence to coding standards, security guidelines, and development best practices.
• Conduct code reviews, design reviews, sprint planning, and technical grooming sessions.
• Optimize application performance, scalability, reliability, and resiliency.
• Troubleshoot complex production issues and drive root-cause analysis.
• Support CI/CD implementation and DevOps best practices.
• Mentor team members and foster a culture of continuous improvement and technical excellence.

Technical Skills Required

• Strong experience in Java 8/11/17, Spring Boot, Microservices, REST APIs.
• Hands-on expertise in Angular 8+, TypeScript, HTML5, CSS3.
• Experience with Hibernate/JPA and relational databases such as MySQL or PostgreSQL.
• Good understanding of distributed systems, API design, and secure application development.
• Experience with Git, Maven/Gradle, Jenkins, CI/CD pipelines.
• Exposure to cloud technologies, preferably AWS.
• Knowledge of messaging technologies such as Kafka or RabbitMQ is advantageous.
• Experience working in Agile/Scrum environments.

Domain Experience (Preferred)

• Experience in Banking, Financial Services, Credit Cards, Lending, Payments, Risk, Fraud, Customer Servicing, or Digital Banking platforms.
• Understanding of secure, high-volume transaction processing systems and regulatory/compliance-driven environments.

Soft Skills

• Excellent communication and stakeholder management skills.
• Strong client-facing and leadership capabilities.
• Ability to drive technical decisions and influence architecture direction.
• Strong analytical, problem-solving, and decision-making skills.

NOTE: One client round has to be taken F2F from Bangalore Office.

About the Role

We are looking for a senior Information Security leader who can operate at two levels simultaneously:

• Drive the company’s security architecture and governance internally.
• Serving as the primary security representative to banks, NBFCs, insurers and other enterprise customers.

This is a mix of client-facing + security expert role for someone comfortable discussing cloud security, application security, audits, risk management and regulatory requirements with CISOs, security teams, auditors and executive stakeholders.

What You'll Own?

• Act as the executive face of security during customer audits, InfoSec reviews, RFPs and procurement processes

• Build trusted relationships with CISOs, security leaders and risk teams across BFSI organizations

• Own security responses for customer questionnaires, control discussions and architecture reviews

• Drive security strategy, risk management and security governance across the company

• Establish and continuously improve internal audit, compliance and evidence-collection processes

• Own security readiness for ISO 27001, SOC 2, RBI, DPDP and related regulatory requirements

• Guide cloud, infrastructure, identity, access control, secrets management and deployment security practices

• Partner with engineering teams to embed security into product development and operations

• Lead incident response, vulnerability management and security improvement initiatives

Ideal Background

• Security Engineering, DevSecOps, Cloud Security, Security Architecture or CISO/Deputy CISO experience

• Experience working with banks, NBFCs, insurers, fintechs or BFSI-focused SaaS companies

• Strong understanding of AWS, Kubernetes, IAM, CI/CD and modern cloud security practices

• Experience handling customer-facing security reviews, audits and compliance programs

• Familiarity with ISO 27001, SOC 2, RBI guidelines, DPDP and related security frameworks

• Ability to translate technical controls into business language for customers and executives

Why This Role Is Different?

Rather than being a back-office compliance function, this role sits at the intersection of security, customer trust and business growth. You will work directly with the founders, influence product and infrastructure decisions, and play a key role in helping the company win and expand enterprise BFSI accounts.

ey Responsibilities

✅ Architect, develop, and deploy AI-powered enterprise applications and intelligent automation solutions.

✅ Translate business requirements into scalable, secure, and production-ready AI systems.

✅ Build and integrate AI/ML capabilities into enterprise platforms and digital products.

✅ Design cloud-native applications leveraging AWS, Azure, or Google Cloud Platform (GCP).

✅ Develop APIs, microservices, distributed systems, and modern integration frameworks.

✅ Implement DevOps best practices, CI/CD automation, and engineering lifecycle processes.

✅ Utilize AI-assisted development tools to improve productivity and accelerate delivery.

✅ Ensure compliance with security standards, governance frameworks, and data privacy requirements.

✅ Collaborate with cross-functional teams, product stakeholders, and business leaders to deliver innovative solutions.

Required Skills

🔹 5+ years of experience in Software Engineering, Solution Architecture, or Enterprise Application Development.

🔹 Strong programming expertise in *Python, Java, TypeScript, or Go*.

🔹 Hands-on experience integrating AI/ML solutions into enterprise applications.

🔹 Experience with cloud platforms such as *AWS, Azure, or GCP*.

🔹 Strong understanding of *APIs, Microservices, Distributed Systems, and Containerization*.

🔹 Experience with *Agile methodologies, DevOps practices, and CI/CD pipelines*.

🔹 Knowledge of secure software development and enterprise governance standards.

🔹 Excellent problem-solving, communication, and stakeholder management skills.

Good to Have

⭐ Experience with *Machine Learning, Generative AI, Intelligent Automation, or LLM-based solutions*.

⭐ Knowledge of *MLOps, Prompt Engineering, Model Monitoring, AI Validation, and LLM Integration*.

⭐ Experience in *Banking, FinTech, Payments, or other regulated industries*.

⭐ Advanced degree in Computer Science, Artificial Intelligence, Engineering, or related fields.

⭐ Certifications such as *AWS/Azure/GCP Solutions Architect, TOGAF, CKA, or Lean Six Sigma*.

⭐ Experience leading engineering modernization, transformation, or automation initiatives.

⭐ Contributions to open-source projects and a passion for emerging technologies.

Hands-on experience in developing Restful APIs and Web Services.

Knowledge of Django, FastAPI (or any other established Python web frameworks) would be a plus.

Knowledge of Angular or React or similar technologies would be an added advantage.

Strong experience with relational (PostgreSQL, MySQL) and/or NoSQL databases.

Experience working with Linux/Unix Operating system & comfortable with command line.

Experience with modern software engineering workflows and tools (e.g. Agile, JIRA, Git, CI/CD, Amazon Web Services, Observability and Monitoring tools like ELK, Datadog, NewRelic, etc.).

Extremely passionate about code reviews, engineering best practices and mentoring/coaching the developers to make them successful.

Excellent understanding of feature estimation and ability to communicate issues and risks that may impact timelines, budget, or resources.

Experience with Agile development lifecycle

Job Title : Senior Java Developer

Experience : 5 to 12 Years

Shift Timing : 01:00 PM – 10:00 PM

Domain : Clinical Research

Location : Noida, Gurugram & Pune

Work Mode : Hybrid

Job Summary :

We are seeking an experienced Senior Java Developer to join the software team of a leading Clinical Research organization.

The role involves application development and feature enhancement for enterprise products, ensuring high performance, scalability, and code quality.

Mandatory Skills :

Java 8+, Hibernate, Oracle Database, PostgreSQL, JAX-RS (RestEasy), Jackson, REST APIs, JSP, React.js, GitHub, GitHub Actions, SonarQube, SonarLint, and basic AWS services (IAM, SNS, SQS, S3, CloudWatch).

Key Responsibilities :

• Develop and enhance enterprise applications using Java technologies.
• Design and implement RESTful APIs and integrate backend services.
• Write and optimize SQL queries for Oracle and PostgreSQL databases.
• Build and maintain UI components using JSP and React.js.
• Manage source code and CI/CD pipelines using GitHub and GitHub Actions.
• Ensure code quality and maintainability using SonarQube and SonarLint.
• Work with AWS services to support application deployment and monitoring.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Required Skills :

• Strong experience with Java 8 or above and Hibernate framework.
• Hands-on experience with Oracle Database and PostgreSQL, including advanced query writing.
• Proficiency in JAX-RS (RestEasy) and Jackson for REST API and JSON processing.
• Experience in developing web applications using JSP.
• Knowledge of React.js for frontend development.
• Experience with GitHub and GitHub Actions for version control and CI/CD.
• Familiarity with SonarQube and SonarLint for code quality analysis.
• Basic hands-on experience with AWS services, including IAM, SNS, SQS, S3, and CloudWatch.
• Ability to work effectively in a collaborative and fast-paced environment. 

Job Title : Senior Java Developer

Experience : 6+ Years

Shift Timing : 01:00 PM to 10:00 PM

Domain : Clinical Research

Location : Noida, Gurgaon & Pune

Mandatory Skills :

Java 8+, Hibernate, Oracle, PostgreSQL, JAX-RS (RestEasy), Jackson, REST APIs, JSP, React.js, GitHub, GitHub Actions, SonarQube, SonarLint, and AWS (IAM, SNS, SQS, S3, CloudWatch).

Job Summary :

We are looking for an experienced Senior Java Developer with 6+ years of experience to join the software development team of a leading Clinical Research organization.

The role involves developing and enhancing enterprise applications, building scalable APIs, and contributing to feature development while ensuring code quality and best practices.

Key Responsibilities :

• Develop and maintain enterprise applications using Java 8+ and Hibernate.
• Design and consume RESTful APIs using JAX-RS (RestEasy) and Jackson.
• Work with Oracle and PostgreSQL databases, including complex query writing.
• Develop UI components using JSP and React.js.
• Utilize GitHub and GitHub Actions for version control and CI/CD processes.
• Ensure code quality through SonarQube and SonarLint.
• Work with AWS services including IAM, SNS, SQS, S3, and CloudWatch.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Note : Candidates should preferably be sourced from organizations within the Grid ecosystem.

About CNH

Connect and Heal (CNH) is a healthcare organization focused on transforming healthcare delivery through technology-enabled solutions, clinical excellence, and exceptional patient experiences. We build scalable digital platforms that support healthcare operations, patient engagement, telehealth, and enterprise healthcare services.

Role Summary

We are seeking a highly motivated Engineering Lead to drive the design, development, and delivery of scalable technology solutions that support CNH's business growth and healthcare operations. The role requires a strong blend of technical expertise, people leadership, architecture oversight, and execution excellence.

The Engineering Lead will lead engineering teams, collaborate with Product, Operations, Clinical, and Business stakeholders, and ensure delivery of high-quality, secure, and scalable products.

Key Responsibilities

Technical Leadership

• Lead the design, development, and deployment of scalable applications and platforms.
• Drive engineering best practices, coding standards, architecture reviews, and technical governance.
• Ensure system reliability, performance, security, and scalability.
• Evaluate and implement emerging technologies to improve product capabilities and engineering efficiency.

Team Leadership

• Build, mentor, and manage high-performing engineering teams.
• Conduct performance reviews, coaching, and career development discussions.
• Foster a culture of accountability, innovation, collaboration, and continuous learning.
• Support hiring and talent development initiatives.

Product & Delivery Management

• Partner with Product Managers and business stakeholders to translate business requirements into technical solutions.
• Drive sprint planning, prioritization, estimation, and delivery management.
• Ensure timely and high-quality execution of engineering roadmaps.
• Manage risks, dependencies, and technical debt effectively.

Stakeholder Management

• Collaborate with Operations, Clinical, Customer Success, and Business teams.
• Communicate project progress, risks, and outcomes to leadership.
• Support strategic initiatives through technology-driven solutions.

Quality & Compliance

• Ensure adherence to information security, data privacy, and healthcare compliance requirements.
• Establish monitoring, testing, and release management processes.
• Drive automation, observability, and operational excellence.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or related field.
• 8–12+ years of software engineering experience.
• 3–5+ years of experience leading engineering teams.
• Experience building and scaling enterprise-grade applications.

Technical Skills & Expertise

• Strong proficiency in modern programming languages such as Java, Python, Node.js, Golang, or .NET.
• Hands-on experience in designing and managing RESTful APIs, API Gateways, and Microservices Architecture.
• Strong knowledge of CI/CD Automation using tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar platforms.
• Experience in DevOps practices, including Infrastructure as Code (IaC), containerization (Docker), orchestration (Kubernetes), and cloud-native deployments.
• Expertise in cloud platforms such as AWS, Azure, or GCP.
• Experience implementing monitoring, logging, and observability solutions.
• Familiarity with modern databases, distributed systems, and high-availability architectures.
• Exposure to AI/ML tools, Generative AI solutions, LLMs, AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT, etc.), and their integration into enterprise applications.
• Understanding of healthcare interoperability standards, APIs, and data security principles is desirable.

Additional Responsibilities

• Drive adoption of AI-powered engineering practices to improve developer productivity, code quality, and operational efficiency.
• Establish and maintain robust CI/CD pipelines to enable faster and more reliable software releases.
• Lead DevOps transformation initiatives, promoting automation, infrastructure scalability, and engineering excellence.
• Define and govern enterprise-wide API strategy, standards, security, and lifecycle management.
• Evaluate emerging technologies and AI innovations to support CNH's digital healthcare roadmap.

Preferred Candidate Profile

• 10–15 years of experience in software engineering, with 4–6 years in engineering leadership roles.
• Proven experience leading teams building cloud-native, API-first, AI-enabled platforms.
• Strong background in DevOps, CI/CD automation, platform engineering, and digital transformation initiatives.
• Experience managing engineering teams delivering mission-critical products at scale.

CNH offers an opportunity to build impactful healthcare technology solutions that improve access, quality, and patient outcomes while working with a passionate and mission-driven team.

 Role Summary 

Looking for a skilled Full Stack Developer with expertise in Java Spring Boot and Angular/React to build and maintain scalable web applications.

 Key Responsibilities 

- Develop backend services using Java & Spring Boot

- Build responsive UIs with Angular/React

- Design and consume REST APIs & microservices

- Collaborate with cross-functional teams

- Ensure code quality, performance, and scalability

- Strong analytical skills to drive and clarify requirements with the client

 Required Skills 

- Strong experience in Java (Spring Boot)

- Proficiency in Angular and/or React

- Solid understanding of REST APIs & microservices

- Experience with SQL/NoSQL databases

- Knowledge of Git, CI/CD pipelines

 Good to Have 

- Cloud (AWS/Azure/GCP), Docker/Kubernetes

- Kafka/RabbitMQ, Agile methodologies

Key Responsibilities:

Team Leadership and Management:

• Lead, mentor, and manage a team of backend developers, fostering a culture of collaboration, innovation, and technical excellence.
• Promote a shared vision for the team, ensuring alignment with business goals and organizational objectives.
• Conduct performance reviews, provide constructive feedback, and create opportunities for team members’ professional growth.
• Drive cross-functional collaboration between development teams, designers, and product managers to deliver seamless and high-quality software.

Technical Strategy and Execution:

• Define and drive architectural decisions for both backend and frontend systems,ensuring scalability, reliability, and performance.
• Advocate and implement best practices in software development, including coding standards, test-driven development (TDD), and peer code reviews.
• Encourage the adoption of Large Language Models (LLMs) and AI-driven tools to optimize development and testing workflows.
• Provide technical direction on backend development using modern frameworks and languages, as well as frontend development using React, Angular, or Svelte.

Process and Quality Management:

• Ensure robust integration between backend APIs and frontend systems for seamless user experiences.
• Establish and enforce coding, testing, and deployment standards for both backend and frontend teams.
• Implement and optimize automated testing frameworks for backend and UI layers to ensure comprehensive coverage.
• Monitor system performance and application stability, proactively identifying and mitigating risks.
• Establish CI/CD pipelines and DevOps best practices for efficient and reliable delivery cycles.

Stakeholder Collaboration:

• Act as a bridge between engineering teams, business stakeholders, and leadership, ensuring effective communication and alignment.
• Translate complex business requirements into actionable technical solutions and guide teams through their implementation.
• Provide regular updates on progress, challenges, and innovations to stakeholders.

Innovation and Exploration:

• Stay updated on advancements in Large Language Models (LLMs) and integrate them into development and quality assurance workflows where applicable.
• Encourage the exploration of cutting-edge technologies, tools, and frameworks for both backend and frontend development.
• Champion the use of AI and machine learning tools for performance optimization, automated testing, and enhanced developer productivity.

Skills & Qualifications:

Must-Have Skills:

• Proven experience as an Engineering Manager or similar leadership role.
• Strong technical background in backend technologies (e.g., Java, Spring Framework).
• Deep understanding of RESTful API design, microservices architecture.
• Hands-on experience with containerization and orchestration tools like Docker.
• Solid knowledge of Agile methodologies, TDD, and CI/CD pipelines.
• Excellent leadership, communication, and problem-solving skills.
• Expertise in integrating Large Language Models (LLMs) and AI-powered tools into development workflows.

Nice-to-Have Skills:

• Experience with cloud platforms like AWS, GCP, or Azure.
• Knowledge of automated testing frameworks for both backend (e.g., JUnit, Postman) and frontend (e.g., Playwright).
• Understanding of DevOps practices and infrastructure-as-code tools like Terraform.
• Exposure to AI/ML frameworks and libraries for enhancing application features and team efficiency.

Job Description

Team Lead – Full Stack Developer

Experience

3–5 Years

Location

Bangalore (Onsite)

Role Summary

We are looking for a highly skilled, hands-on, and ownership-driven Team Lead – Full Stack Developer who can independently architect, design, develop, deploy, and support enterprise-grade web, mobile, and cloud-native applications.

The ideal candidate should have strong expertise in ReactJS, Next.js, Java, Spring Boot, Microservices, Distributed Systems, Cloud Technologies, DevOps, AI-Assisted Development, and Product Engineering.

The candidate will be responsible for owning end-to-end product development, including frontend architecture, backend services, APIs, databases, deployment, production support, stakeholder communication, sprint planning, team leadership, and successful delivery of scalable, secure, and high-performance solutions.

Key Responsibilities

Architecture & Product Ownership

• Design end-to-end application architecture, HLDs, LLDs, deployment architecture, integration architecture, and security architecture.
• Build products from scratch and independently drive projects from concept to production.
• Convert business requirements into technical solutions, user stories, sprint plans, and delivery roadmaps.
• Design scalable, secure, fault-tolerant, multi-tenant, and enterprise-grade applications.
• Evaluate and recommend suitable technologies, frameworks, and development approaches.

Full Stack Development

Frontend Development

• Design and develop responsive and modern web applications.
• Build reusable UI components and scalable frontend architectures.
• Develop Single Page Applications (SPA) using ReactJS and Next.js.
• Implement state management using Redux Toolkit and Context API.
• Integrate REST APIs, GraphQL APIs, and WebSocket-based applications.
• Ensure application accessibility, responsiveness, performance optimization, and SEO best practices.
• Collaborate closely with UI/UX designers to deliver intuitive user experiences.

Backend Development

• Develop enterprise-grade backend applications using Java and Spring Boot.
• Design and develop REST APIs, Microservices, SOAP Services, gRPC Services, and Webhooks.
• Build reusable frameworks, service layers, and integration modules.
• Implement authentication, authorization, API security, and enterprise integrations.
• Optimize application performance, scalability, reliability, and maintainability.

Distributed Systems & Enterprise Solutions

• Design distributed systems using Event-Driven Architecture, CQRS, Saga Pattern, DDD, Hexagonal Architecture, and Clean Architecture.
• Implement resilience patterns, service discovery, circuit breakers, distributed transactions, and failover mechanisms.
• Build workflow automation platforms, document management systems, enterprise integration solutions, and business process automation systems.

Team Leadership & Delivery

• Lead and mentor development teams.
• Conduct code reviews, architecture reviews, and technical discussions.
• Drive sprint planning, stand-ups, reviews, and retrospectives.
• Collaborate with Product, Business, QA, DevOps, AI, and Management teams.
• Ensure successful project delivery while maintaining engineering standards and best practices.
• Support hiring, onboarding, mentoring, and technical growth of team members.

DevOps, Deployment & Production Support

• Manage CI/CD pipelines and deployment processes.
• Work with Docker, Kubernetes, and cloud-native environments.
• Implement Blue-Green, Canary, Rolling, and Zero-Downtime deployment strategies.
• Monitor application health and troubleshoot production issues.
• Ensure application reliability, security, scalability, and operational excellence.

AI & Innovation

• Leverage AI tools to improve development productivity and software quality.
• Build AI-powered Proof of Concepts (POCs) and enterprise applications.
• Utilize AI for development, testing, documentation, architecture reviews, and automation.
• Collaborate with AI teams to integrate intelligent capabilities into business applications.

Mandatory Technical Skills

Frontend Technologies

• ReactJS
• Next.js
• JavaScript (ES6+)
• TypeScript
• HTML5
• CSS3
• Tailwind CSS
• Material UI
• Bootstrap
• Redux Toolkit
• Context API
• React Query
• Responsive Design
• Progressive Web Applications (PWA)

Backend Technologies

• Java 8/11/17/21
• Core Java
• Spring Boot
• Spring MVC
• Spring Security
• Spring Data JPA
• Spring Cloud
• Spring Batch
• Spring WebFlux
• Spring Integration
• Spring AOP
• Spring Validation

APIs & Enterprise Integrations

• REST APIs
• SOAP Services
• GraphQL
• gRPC
• Webhooks
• OpenAPI / Swagger
• OAuth2
• JWT
• OpenID Connect
• SAML

Microservices & Distributed Systems

• Microservices
• Event-Driven Architecture
• CQRS
• Saga Pattern
• Domain-Driven Design (DDD)
• Event Sourcing
• Hexagonal Architecture
• Clean Architecture
• Service Discovery
• Circuit Breakers

Messaging & Streaming

• Apache Kafka
• RabbitMQ
• Event Streaming
• Message Brokers
• Asynchronous Processing

Databases

• PostgreSQL
• Oracle Database
• Oracle FLEXCUBE
• MySQL
• SQL Server
• MongoDB
• Redis
• Database Design
• Query Optimization
• Indexing
• Migration
• Replication

DevOps & Cloud

• Docker
• Kubernetes
• Jenkins
• GitHub Actions
• GitLab CI/CD
• AWS
• Azure
• GCP

Monitoring & Quality

• Grafana
• Prometheus
• ELK Stack
• OpenTelemetry
• JUnit
• Mockito
• SonarQube
• Unit Testing
• Integration Testing
• API Testing
• Performance Testing
• Security Testing

AI-Assisted Development Tools

• ChatGPT
• Claude
• Cursor
• GitHub Copilot
• Replit
• Lovable
• IntelliJ IDEA
• Prompt Engineering
• AI-Based Code Review
• AI-Based Testing & Documentation

Preferred Domain Experience

• Banking & Financial Services
• FinTech
• Enterprise SaaS
• Workflow Automation
• Digital Transformation
• AI-Powered Applications
• OCR & Document Processing
• Payment Systems
• Enterprise Integration Platforms
• Identity & Access Management
• Multi-Tenant Platforms

Soft Skills

• Strong leadership and ownership mindset.
• Excellent communication and stakeholder management skills.
• Strong analytical and problem-solving abilities.
• Ability to manage multiple projects simultaneously.
• Strong mentoring and team collaboration skills.
• Innovation-driven and continuous learning attitude.

Education

Bachelor's Degree or Master's Degree in:

• Computer Science
• Information Technology
• Software Engineering
• Electronics & Communication
• Or equivalent practical experience

Preferred Candidate Profile

A highly motivated Full Stack Engineering Leader with experience building products from scratch, owning frontend and backend architecture, leading engineering teams, driving innovation, and delivering scalable enterprise-grade applications across web, mobile, cloud, and enterprise platforms. The candidate should be capable of independently managing architecture, development, deployment, production support, and successful project delivery while mentoring and growing engineering teams.

mandatory one w

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data architectures, data lakes, and warehousing solutions.
• Integrate data from multiple APIs, databases, and third-party systems.
• Ensure data quality, consistency, security, and reliability across systems.
• Develop automated workflows for data ingestion, transformation, and validation.
• Work with structured and unstructured datasets at scale.
• Optimize SQL queries and database performance.
• Collaborate with backend, analytics, and AI teams for data-driven solutions.
• Monitor pipelines and troubleshoot production issues.
• Implement logging, monitoring, and alerting mechanisms for data systems.
• Maintain proper technical documentation and workflow diagrams.

Required Skills & Qualifications

• 2+ years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL and database design.
• Experience with relational and NoSQL databases such as:
• MySQL
• PostgreSQL
• MongoDB
• BigQuery / Redshift / Snowflake
• Hands-on experience with ETL tools and data pipeline development.
• Strong programming skills in at least one language:
• Python
• Node.js
• Java
• Experience with cloud platforms:
• AWS / GCP / Azure
• Familiarity with data orchestration tools:
• Airflow
• Prefect
• Dagster
• Understanding of APIs, webhooks, and real-time data processing.
• Experience with Git and CI/CD workflows.
• Knowledge of Docker and containerized deployments.
• Good understanding of data security and governance practices.

Preferred Qualifications

• Experience with Apache Spark, Kafka, or distributed processing systems.
• Exposure to AI/ML data pipelines.
• Knowledge of analytics and BI tools such as:
• Power BI
• Tableau
• Looker
• Experience working in startup or fast-paced product environments.
• Familiarity with microservices architecture.

What We Offer

• Opportunity to work on scalable and impactful data systems.
• Collaborative and growth-focused work environment.
• Exposure to AI, analytics, and cloud-native technologies.
• Flexible work culture and learning opportunities.
• Competitive salary and performance-based growth.

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.

Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.

Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.

Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level. 

Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.

Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only. 

Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.

Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

Senior Engineer – MFT & EDI (Axway / IBM Sterling)

Location: Remote (1st Month Onsite)

Shift: US Shift (7 PM / 11 PM IST)

Experience: 4+ Years

Job Role

Looking for a Senior Engineer with experience in Axway Secure Transport or IBM Sterling B2Bi to manage MFT/EDI platforms, AWS infrastructure, and production support for a global client.

Key Responsibilities

• Manage and configure MFT/EDI (Axway or IBM Sterling)
• Handle platform support, maintenance, and troubleshooting
• Work with AWS, Terraform, and CI/CD tools
• Automate tasks using Shell/Python
• Provide US shift production support

Required Skills

• 4+ years experience in MFT/EDI
• Axway Secure Transport or IBM Sterling B2Bi
• AWS + Linux
• Terraform / Jenkins
• Shell or Python scripting
• Good communication and troubleshooting skills
• Ready for US shift

Role

We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.

This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.

What would you do?

• Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
• Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
• Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
• Build highly interactive front-end experiences using modern React and real-time communication tools.
• Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
• Collaborate closely with users and product teams to identify problems and ship impactful solutions.
• Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.

Who should apply?

• Engineers with 4+ years of experience building and shipping production-grade products.
• Strong understanding of system design, architecture, and scalable backend systems.
• Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
• Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
• Experience building modern frontend applications using React (React 18+).
• Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
• Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.

Technical Skills

• Backend: Node.js, Express, Python, FastAPI
• Frontend: React (React 18+), interactive UI development
• AI/LLM Systems: LLM orchestration, multi-model integrations
• Databases: Redis, PostgreSQL, MongoDB
• Infrastructure: AWS, CI/CD pipelines, microservices architecture
• Real-time Systems: Socket.IO, Server-Sent Events (SSE)

Overview

We are seeking a versatile Full-Stack Cloud Developer to build modern front-end Web UIs for client data presentations. In this role, you will lead the development of our internal customer interface while also functioning as a billable resource for diverse client projects. You must be agile and capable of translating complex application data logs and cloud metrics into clean, actionable dashboards. This is a client-facing position that requires strong English and presentation skills. You will be expected to interface directly with clients on special projects, presentations, and requirements gathering.

Key Responsibilities

Build modern front-end Web UIs: Design client data presentations using APIs and application data logs for both internal and external clients.

Data Visualization: Integrate observability tools like Grafana to deliver high-fidelity metrics for cloud and NOC performance tracking.

Full-Stack Development: Develop secure, multi-tenant application logic hosted in AWS and Azure environments.

Enforce Version Control: Maintain strict discipline using GitHub for all code and Terraform for infrastructure deployments.

Client Engagement: Lead presentations regarding custom-built data solutions and portal features to stakeholders.

Rigorous Documentation: Maintain detailed records of architecture, API schemas, and codebase standards for long-term maintainability. Collaborative Execution: Work within an engineering team to ensure technical goals are met and operational friction is reduced.

Required Qualifications

Full-Stack Proficiency: Expert knowledge of modern frameworks (React, Node.js, or Python) to build data-driven applications. Observability & Metrics: Strong experience with Grafana integration, embedding dashboards, and visualizing FinOps/NOC data. Documentation Discipline: Proven ability to create clear technical guides for both team members and clients.

Communication: Exceptional verbal and written English skills for high-level client presentations and engagements.

Cloud Foundations: Hands-on experience with AWS and Azure services, particularly serverless (Lambda/Azure Functions).

Tooling: Proficient with GitHub and Terraform for version control and infrastructure management.

Professional Growth & Career Path

Technical Leadership: Opportunity to own the full lifecycle of mission-critical products and grow into Lead Architect roles. Certification Support: We encourage and support growing into advanced professional-level certifications to stay ahead of the curve.

Team Culture: Participate in a culture that values collective problem-solving, mentorship, and shared technical goals.

Expected Date of Joining Immediate/ 30 days  

What makes Techjays an inspiring place to work

At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.

We operate as part of the 1% of companies globally that can truly leverage AI the right way and not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.

Our strength lies in combining deep backend engineering with AI system design, building AInative platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready. Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced AI systems for global clients.

About the role

We are looking for a strong backend engineer who can design and build secure, scalable Python systems that power AI-native applications.

You will work on AI-enabled platforms, production systems, and scalable backend services that support LLM integrations, RAG pipelines, and intelligent workflows.

Years of Experience: 3 - 7 years

Location: Coimbatore

Key Skills

Backend Development (Familiar):

• Python
• Django / Flask
• RESTful APIs
• Websockets

Cloud Technologies (Familiar):

• AWS (EC2, S3, Lambda)
• GCP (Compute Engine, Cloud Storage, Cloud Functions)
• CI/CD pipelines with Jenkins / GitLab CI or Github Actions

Databases (Familiar):

• PostgreSQL
• MySQL
• MongoDB

AI/ML (Familiar):

• Basic understanding of Machine Learning concepts
• Assist in building and integrating Agentic AI workflows
• Familiar with RAG
• Vector Databases (Pinecone or ChromaDB or others)

Tools:

• Git
• Docker
• Linux

Roles and Responsibilities

• Develop and maintain backend services using Python and Django/Flask under guidance.
• Assist in building scalable and secure APIs and backend systems for AI-driven applications.
• Write clean, efficient, and maintainable code following best practices.
• Collaborate with cross-functional teams including frontend developers, data scientists, and product teams.
• Participate in code reviews, debugging, and performance optimization.
• Support integration of AI/ML components such as LLMs and RAG pipelines.
• Continuously learn and improve technical skills in backend and AI technologies.

What We’re Looking for Beyond Skills

• Builder mindset — you think in systems, not just tickets
• Ownership — you take features from idea to production
• Structured thinking in ambiguous environments
• Clear communication and collaborative approach
• Ability to work in a fast-paced, evolving startup environment

What We Offer

• Competitive compensation
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs per person)
• Opportunity to work on production-grade AI systems
• Exposure to global clients and high-impact projects
• A culture that values clarity, integrity, and continuous growth

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Key Responsibilities:

• Own production operations for AWS-based microservices platforms

• Lead incident triage (P1/P2), root cause analysis, and post-incident reviews

• Build and optimize workflows in Jira Service Management (or similar ITSM tools)

• Automate ticket routing, triage, and SLA tracking

• Perform hands-on debugging using Dynatrace, AWS CloudWatch, logs, and tracing tools

• Understand and diagnose issues across application, infrastructure, and networking layers

• Mentor and guide junior/intermediate full-stack engineers with a strong support mindset

• Improve logging, monitoring, observability, and operational readiness

• Design and operate virtual and omni-channel support agents (chat, voice, AI-driven workflows)

• Leverage AI/agentic tooling to improve triage, summarization, runbook generation, and operational automation

Required Skills & Experience:

Mandatory Experience

Strong hands-on experience with

o AWS (compute, networking, IAM, monitoring)

o Microservices architecture

o Dynatrace (or equivalent APM)

• Proven experience managing or operating support-focused engineering teams

• Experience leading production incident response

• Deep understanding of distributed systems and cloud-native infrastructure

• Experience with Jira Service Management or similar ticketing platforms

Ideal Profile

• Technically credible and calm under pressure

• Strong ownership mentality

• Comfortable in logs, dashboards, and light code debugging

• Process-driven but pragmatic

• Passionate about reliability, automation, and AI-driven operations

Soft Skills:

•Excellent communication and stakeholder management skills.

•Strong analytical and problem-solving mindset.

•Ability to mentor junior engineers and foster team cohesion.

Why Join Us:

•Opportunity to work on cutting-edge projects with modern tech stacks.

•Collaborative and innovative team culture.

•Growth-oriented environment with continuous learning opportunities.

Job Title: Network Engineer / IT Infrastructure & Support

Experience: 2–5 Years

Location: Remote (India) | Work From Home

Employment Type: Full-Time

Key Responsibilities

• Provide remote desktop and end-user support for hardware, software, network, and connectivity issues.
• Manage user accounts, access controls, and Microsoft 365 services (Exchange Online, Teams, SharePoint, OneDrive).
• Administer AWS services including EC2, S3, IAM, VPC, and AWS WorkSpaces.
• Configure and troubleshoot Cisco switches, routers, firewalls, VPNs, VLANs, DNS, and DHCP.
• Manage Windows Server, Active Directory, Group Policy, and on-premises infrastructure.
• Support backup, disaster recovery, security controls, and compliance initiatives.
• Maintain technical documentation, SOPs, and infrastructure records.
• Collaborate with cross-functional teams on infrastructure projects, cloud migrations, and operational support.
• Participate in rotational shifts to provide 24/7 support coverage.

Required Skills

• AWS: EC2, S3, IAM, VPC, AWS WorkSpaces
• Microsoft 365 Administration & Azure Entra ID (Azure AD)
• Active Directory, DNS, DHCP, Group Policy
• Windows Server Administration
• Cisco Networking (Switches, Routers, Firewalls)
• VPN, VLAN, SSL, Remote Access Technologies
• Network Monitoring, Backup & Disaster Recovery

Preferred Certifications

• AWS Cloud Practitioner / SysOps Administrator
• CCNA
• Azure Fundamentals (AZ-900)
• Microsoft 365 Certification
• ITIL v4 Foundation

Work From Home Requirements

• Windows 10/11 Laptop (Intel i5, 8GB+ RAM)
• 100 Mbps+ Broadband Internet
• AnyDesk Installed
• UPS/Inverter Preferred

Key Skills to Succeed in This Role:

• 10+ years of software development experience
• 3+ years in a technical leadership role
• Strong expertise in Python and SQL
• Experience building scalable APIs and backend systems
• Solid understanding of database design and performance tuning
• Experience with Azure cloud services (AWS familiarity preferred)
• Working knowledge of ML/AI integration in enterprise systems
• Experience in client-facing or consulting environments preferred

Good to Have:

• Experience with Databricks or modern data platforms
• Exposure to ETL tools such as Talend
• Experience with BI tools (e.g., Power BI)
• Exposure to regulated domains such as Pharma, Healthcare

Responsibilities:

• Lead architecture, technical decisions, and ensure code quality, scalability, and performance
• Develop backend systems using Python & SQL; build APIs and optimize databases
• Work with frontend (React/Angular) and API-driven architectures
• Integrate AI/ML models and support analytics/LLM-based solutions
• Manage cloud deployments (Azure/AWS) and implement CI/CD practices
• Ensure system reliability, monitoring, and production readiness
• Mentor team members, conduct reviews, and collaborate with cross-functional teams

Key Responsibilities and Duties

• Lead technical solution design:
• Lead the design of technical solutions that meet business requirements.
• Ensure technical solutions are scalable, reliable, and maintainable.
• Ensure technical solutions align with enterprise architecture and technology standards.
• Ensure the implementation of technical solutions for quality and performance.
• Define technical architecture:
• Define technical architecture and standards for new and existing systems.
• Ensure technical architecture aligns with business and technology strategies.
• Continuously evaluate and update technical architecture to meet changing business needs.
• Present the architecture to stakeholders.
• Provide technical guidance and expertise:
• Provide technical guidance and expertise to development teams.
• Collaborate with development teams to ensure technical solutions are implemented correctly.
• Ensure technical solutions meet functional and non-functional requirements.
• Develop and maintain technical documentation:
• Develop and maintain technical documentation, including architecture diagrams, specifications, and standards.
• Ensure technical documentation is accurate and up to date.
• Ensure technical documentation is accessible to relevant stakeholders.
• Manage technical risk and compliance:
• Identify and manage technical risks associated with technical solutions.
• Ensure technical solutions comply with regulatory and security standards.
• Monitor and report on technical compliance.
• Collaborate with other departments:
• Collaborate with other departments to ensure technical solutions align with business needs.
• Build strong relationships with key stakeholders.
• Provide technical guidance and support to other departments as necessary.
• Mentor and coach technical staff:
• Mentor and coach technical staff to improve their skills and knowledge.
• Provide feedback and performance evaluations to technical staff.
• Develop technical staff to assume greater responsibilities.
• Continuously improve technical architecture and design processes:
• Continuously improve technical architecture and design processes and tools.
• Ensure adherence to technical architecture and design standards and best practices.
• Identify and implement process improvements to increase efficiency and effectiveness.

Mandatory skills

Project Mandatory Skills

Project Desired Skills

• Designing enterprise grade systems from scratch
• Developing prototypes for custom frameworks
• Design and Develop custom workflow engines
• Worked with various database like Oracle, SQL, Postgres, Cosmos, MySQL, NoSQL etc
• Work experience with systems involving ETL processing (Pentaho or SSIS or Informatica)
• Work experience with Reporting tools (PowerBI)
• Work experience with Data Analytics
• Well-verse with Cloud services knowledge either Azure or AWS. Azure is desired
• Expertise in designing solutions for Cross-cutting concerns like Centralized logging, Observability, Activity Traceability, Security Mgmt., File exchange, Integration with external systems etc
• Very good verbal communication to interact with stakeholders
• Very good knowledge to use AI Coding Agents like Claude Code or Codex or Github Copilot for developing custom frameworks
• Very good knowledge to add workflows in the tools like Github or Static code analysis etc to automate the review processes
• Well-verse with Cloud services knowledge either Azure or AWS. Azure is desired
• Retail industry knowledge is desired skills
• Working with a team size of 20 is desired
• Working in any Legacy transformation to modern enterprise system
• Togaf certification
• Use of ADO and Azure Repo, Azure DevOps pipelines

Qualifications

• Bachelor’s degree in computer science, Information Technology, or related field.
• 12 – 15 years of experience in technical architecture and design in IT organizations.
• Strong understanding of enterprise architecture principles and best practices.
• Experience with a wide range of technologies and platforms.
• Strong leadership, communication, and collaboration skills.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.
• Ability to influence and negotiate with stakeholders.
• Strong problem-solving and analytical skills.

Job Title : Technical Program Manager (TPM)

Experience : 6+ Years

Location : Bangalore (Work from Office)

Travel Requirement : Twice a month to Chennai

Notice Period : Immediate to 15 Days

Language Preference : Tamil preferred (knowledge of at least one regional language is required)

Job Summary :

We are looking for a technically strong Technical Program Manager (TPM) with a Software Development or QA/Testing background to drive enterprise integration and transformation programs. The ideal candidate should possess hands-on experience with REST APIs and cloud technologies, along with excellent stakeholder management skills and the ability to engage with senior technical leaders, including CTOs.

Mandatory Technical Skills :

Strong Software Development or QA/Testing background, hands-on experience with REST APIs (implementation and integrations), expertise in Cloud platforms (AWS/Azure/GCP), good understanding of JSON, XML, SDLC, system architecture, and experience working with SaaS/API-driven applications and enterprise integrations.

Key Responsibilities :

• Manage end-to-end technical programs and enterprise integrations.
• Coordinate with Product, Engineering, QA, and external stakeholders.
• Drive requirements gathering, implementation, testing, UAT, and production go-live.
• Act as the primary point of contact for customers and project escalations.
• Provide technical guidance around APIs, integrations, and cloud solutions.
• Identify risks and ensure timely delivery of projects.
• Build strong relationships with enterprise customers and leadership teams.

Mandatory Skills :

• 6+ years of experience in Technical Program Management, Project Management, or Solution Delivery.
• Strong Software Development or QA/Testing background.
• Hands-on experience working with REST APIs (practical experience is mandatory).
• Experience with Cloud platforms such as AWS, Azure, or GCP.
• Good understanding of JSON, XML, SDLC, and system architecture.
• Excellent communication and stakeholder management skills.
• Ability to interact with senior leadership, including CTOs.
• Immediate to 15 days notice period.
• Willingness to travel to Chennai twice a month.
• Knowledge of at least one regional language (Tamil preferred).

Good to Have :

• Experience in SaaS, FinTech, API, or SDK-based environments.
• Exposure to Microservices and DevOps practices.
• Agile/Scrum experience.
• PMP, PRINCE2, or Cloud certifications.