404 Docker Jobs in Bangalore (Bengaluru) | Docker Job openings in Bangalore (Bengaluru)

Senior Ruby on Rails (RoR) & AWS Developer

Experience: 10 Years

Location: Bangalore

Work Mode: Hybrid – 3 days per week in office

Contract Duration: 6 Months

CTC: ₹9–12 LPA

Job Description

We are looking for an experienced Senior Ruby on Rails (RoR) & AWS Developer with strong expertise in backend development, cloud infrastructure, containerization, automated testing, and database management.

Mandatory Skills

• Strong experience in Ruby on Rails (RoR) development.
• Hands-on experience with Amazon Web Services (AWS).
• Experience with Docker and containerized applications.
• Proficiency in RSpec for automated testing and test-driven development.
• Strong knowledge of SQL and relational databases.
• Experience with at least one frontend technology: React.js or Angular.

Key Responsibilities

• Design, develop, test, and maintain web applications using Ruby on Rails.
• Build and integrate REST APIs and backend services.
• Deploy and maintain applications on AWS.
• Containerize applications using Docker.
• Write and maintain automated test cases using RSpec.
• Develop and optimize SQL queries and database operations.
• Collaborate with frontend developers and cross-functional teams.
• Troubleshoot application issues and improve performance, reliability, and code quality.

Work Requirements

• Approximately 10 years of relevant professional experience.
• Willingness to work from the Bangalore office 3 days per week.
• Comfortable with a 6-month contract engagement.

Interested candidates can share their updated resumes for consideration.

Our Story

At The Alter Office, we build what comes next. We operate as an internal innovation lab, creating stealth products, new business bets, and high-leverage systems designed to unlock disproportionate value for us and our partner company ITW Consulting.

Our work is not centered around being a conventional service partner. Instead, we focus on building products and platforms that solve complex, strategic problems and create long-term advantage. Where needed, we have stepped in on critical opportunities beyond the usual scope, especially when speed, product thinking, and execution depth mattered most.

About the Role

We are building a holistic AdTech platform that delivers premium value to both advertisers and publishers, and the backend is where that entire ecosystem actually runs - the ad marketplace, campaign creation, ad-serving decisioning, analytics collection, attribution, and ROAS measurement.

Concretely, that means large-scale architecture: the ad-serving systems that make real-time decisioning calls at volume, the scalable data platforms that ingest and process billions of events a day, the analytics platforms that turn that data into attribution and ROAS numbers advertisers and publishers trust, and the autonomous AI agents we're building to automate campaign optimization and decisioning across the platform.

We are looking for someone who is eager to learn, enjoys solving technical problems, and wants to grow beyond simply implementing tasks. You'll have opportunities to understand how backend systems connect to the product and gradually take ownership of larger parts of the platform.

Key Responsibilities

• Build and maintain backend APIs and services for our ad marketplace, campaign management, and analytics platforms.
• Work with senior engineers to design and implement scalable backend solutions.
• Develop RESTful APIs and asynchronous backend workflows.
• Work with SQL databases such as MySQL and PostgreSQL and NoSQL technologies such as MongoDB and Redis.
• Implement data models, database queries, caching, and basic performance optimizations.
• Contribute to backend infrastructure supporting analytics, attribution, and AI-powered platform features.
• Collaborate with product, frontend, backend, and DevOps teams to deliver end-to-end features.
• Implement authentication, authorization, and basic security practices under the guidance of senior engineers.
• Write clean, maintainable, documented, and tested code.
• Use Git and participate in code reviews and team development practices.
• Learn and contribute to deploying backend services on cloud platforms such as AWS, GCP, or Azure.
• Work with Docker for containerizing backend services.
• Contribute to CI/CD pipelines and development workflows.
• Help monitor, debug, and troubleshoot backend services in development and production environments.
• Explore event-driven and distributed architectures using technologies such as message brokers, WebSockets, or GraphQL where appropriate.

Requirements

• 1–2 years of professional backend engineering experience, including relevant internship or project experience.
• Proficiency in at least one backend language, with the ability and willingness to adapt to other languages such as Node.js/JavaScript, Go, Python, and Java.
• Good understanding of RESTful API design and backend fundamentals.
• Good understanding of asynchronous programming and how backend services communicate.
• Familiarity with relational databases such as MySQL or PostgreSQL.
• Familiarity with at least one NoSQL database such as MongoDB or Redis is a plus.
• Good understanding of data modeling and writing SQL queries.
• Familiarity with Git and software development workflows.
• Good understanding of Docker and containerized applications.
• Exposure to cloud platforms such as AWS, GCP, or Azure is a plus.
• Understanding of basic backend security concepts such as authentication, authorization, and secure API practices.
• Strong problem-solving and debugging skills.
• Good communication and willingness to collaborate with other engineers and product teams.
• Strong learning mindset and willingness to work with unfamiliar technologies.
• Comfortable working in a fast-paced environment with evolving priorities.

5 steps, and we tell you where you stand at each one.

Online Assessment : Evaluate coding skills, backend fundamentals, SQL, problem-solving, and technical understanding.

Technical Interview 1 : Discuss previous projects, backend experience, APIs, databases, system design, and production experience.

Take-Home Assessment : A practical backend assignment to evaluate code quality, architecture, scalability, testing, and ability to build a production-ready solution.

Technical Interview 2 : Deep dive into the take-home assignment, system design, technical decisions, scalability, debugging, cloud, and architecture.

HR Interview : Discuss communication, ownership, culture fit, career goals, compensation, availability, and overall expectations.

About the company:

We empower US healthcare payers with a truly next-generation, cloud-native, holistic, and customizable platform designed to prevent and adapt to the ever-evolving inaccuracies in healthcare claims and payments. By reducing complexity and administrative costs, we offer a unified, healthcare-dedicated platform backed by top VCs like BeeNext, 3One4 Capital, and Saison Capital.

Position Overview:

We are looking for an experienced DevOps Engineer to join our team in Bengaluru. In this role, you will be responsible for building, optimizing, and maintaining scalable, secure, and highly available multi-cloud infrastructure that supports our engineering teams. The ideal candidate brings strong hands-on experience with Kubernetes, Infrastructure as Code (Terraform), and robust monitoring/observability stacks to enable seamless, reliable, and automated deployments.

Key Responsibilities:

• Container Orchestration: Deploy, scale, and manage containerized workloads on Kubernetes (EKS, AKS, and GKE).
• Infrastructure as Code (IaC): Build and maintain modular, reusable, and version-controlled infrastructure using Terraform across AWS, Azure, and GCP.
• Monitoring & Observability: Set up, manage, and optimize monitoring, logging, and alerting stacks (e.g., Prometheus, Grafana, ELK/EFK, Loki, Datadog).
• CI/CD Pipeline Management: Own, improve, and automate CI/CD pipelines to enable fast, reliable, and frictionless software releases.
• System Reliability & SRE Practices: Implement best practices for system reliability, including defining SLIs/SLOs, managing incident response, and participating in on-call support.
• Troubleshooting & Support: Diagnose and resolve complex production issues across infrastructure, networking, and application layers.
• Security & Compliance: Implement infrastructure security best practices, including IAM policies, secrets management, and network security.
• Automation: Eliminate repetitive operational tasks by writing clean, efficient scripts in Python, Bash, or Go.
• Operations & Planning: Participate in capacity planning, cost optimization, disaster recovery, and infrastructure scaling initiatives while maintaining clear documentation and runbooks.

Requirements :

• Solid working experience with cloud providers, specifically AWS, Azure, or GCP.
• Strong understanding of containerization (Docker) and container orchestration concepts.
• Familiarity with Linux system administration and networking fundamentals.
• Experience with version control systems (Git) and GitOps workflows (ArgoCD/Flux is a plus).
• Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.

Qualifications :

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience)

Key Skills:

• The ideal candidate must possess deep expertise in container orchestration, specifically hands-on experience managing Kubernetes ecosystems—including Helm charts, cluster networking, and RBAC policies—alongside a foundational mastery of Docker containerization.
• Proficiency in managing cloud architecture as software is essential, with a heavy emphasis on Terraform execution, including advanced module creation, state management, and multi-environment workspaces.
• A strong capability to implement full-stack visibility is required, utilizing tools like Prometheus, the Grafana LGMT stack, ELK/EFK, or Loki to build highly optimized monitoring, alerting, and logging systems.
• Candidates should have a proven track record of constructing and scaling automated deployment pipelines using industry-standard platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps to minimize release friction. .
• Strong core programming fundamentals are required to automate repetitive infrastructure tasks, with practical proficiency in Python, Bash, or Go.
• Familiarity with cutting-edge cloud-native technologies is highly desirable, including enterprise service meshes (Istio, Linkerd), comprehensive cloud security frameworks (HashiCorp Vault, OPA, Trivy), and a data-driven approach to cloud cost management and FinOps practices.

Work Location: Jayanagar - Bangalore.

Work Mode: Work from Office, hybrid- 3 days WFO

Note: We are looking for immediate joiners & Bangalore Candidates only

Benefits:

• Best-in-class compensation
• Health insurance for Family
• Personal Accident Insurance
• Friendly and Flexible Leave Policy
• Certification and Course Reimbursement
• Medical Coding CEUs and Membership Renewals
• Health checkup
• And many more!

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.

What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.

What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.

System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.

Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.

Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.

Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

Job Specification:

Work Experience: 7 to 10 Years

Work Location:  Bangalore

Mode of Employment: Permanent

Education Qualification required: Any Degree

Job Description:

We are looking for an experienced DevOps Engineer with strong expertise in Linux, CI/CD, containerization, cloud platforms, Infrastructure as Code (IaC), and observability. The ideal candidate should have hands-on experience with Kubernetes, OpenShift, Terraform, scripting, DevSecOps, and modern monitoring practices.

Responsibilities:

• Manage and maintain Linux-based systems, cloud infrastructure, and production environments.
• Develop, maintain, and optimize CI/CD pipelines using Git and related automation tools.
• Deploy and manage containerized applications using Docker, Kubernetes (K8s), and OpenShift.
• Provision and manage cloud infrastructure on AWS and/or Microsoft Azure.
• Automate infrastructure provisioning and configuration using Terraform.
• Develop automation scripts using Python and Shell scripting.
• Implement observability and monitoring solutions using Prometheus, Grafana, AppDynamics, and Splunk.
• Troubleshoot production incidents, perform root cause analysis (RCA), and improve system reliability and availability.
• Implement DevSecOps practices, security controls, and vulnerability management across CI/CD pipelines.
• Manage cloud networking, connectivity, and infrastructure-related configurations.
• Support AIOps initiatives to improve incident detection, analysis, and operational efficiency.
• Manage SSL/TLS certificates, secrets, and secure credential rotation.

Required Skills:

• Strong hands-on experience with Linux.
• Good knowledge of Git and CI/CD pipelines.
• Experience with Docker, Kubernetes (K8s), and/or OpenShift.
• Working experience with AWS and/or Microsoft Azure.
• Hands-on experience with Terraform and Infrastructure as Code (IaC).
• Scripting knowledge in Python and/or Shell.
• Experience with Prometheus, Grafana, AppDynamics, and/or Splunk.
• Knowledge of DevSecOps, networking, and cloud security fundamentals.
• Understanding of AIOps concepts and automated operations.
• Experience with certificate lifecycle management and secrets management.

Responsibilities:

• Add a new feature to existing infrastructure platforms.
• Collaborate across teams and lead technical discussions with clients and internal teams.
• Mentor junior team members through mob-pairing/1:1 pairing sessions.
• Adapt to different roles and technologies as project needs evolve.
• Proactive mindset with excellent client communication, collaboration, and writing skills.
• Use methodologies like Agile and Lean to manage projects and deliverables.
• Document technical solutions and knowledge for team reference.
• Stay current with industry trends and emerging technologies.

Requirements:

• Experience with managing large-scale infrastructure systems.
• Experience as a reliability engineer is good.
• Proficiency in at least one programming language.
• Good understanding of software delivery principles.
• Ability to adapt to different roles and technologies when needed

Required Technical Skills:

• You have spent some time building software systems or self-service systems for internal teams.
• You have a good understanding of Linux, software-defined, and cloud networking.
• You have work experience in configuration management and using tools like Ansible and Chef.
• You must have a good understanding of continuous integration and continuous delivery concepts, not just tools.
• Experience with tools like Jenkins, GitHub Actions, GitLab CI, etc. is required.
• It would be a plus if you have worked with GitOps tools like Argo CD or Flux CD.
• You are familiar with the cloud-native ecosystem and tools like Prometheus, OpenTelemetry, and Envoy.
• In-depth understanding of containers and container orchestrators like Nomad, Kubernetes, etc.
• You should deeply understand managing and organizing infrastructure as code and have worked with tools such as Terraform, Pulumi, CloudFormation, and AWS CDK.
• You are familiar with at least one primary cloud provider, such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
• You understand observability well and can collaborate with dev teams to improve their observability systems.
• You have a good understanding of the principles of distributed systems.
• You understand how SQL and NoSQL databases work and what is needed to manage them.
• You have familiarity with basic cloud security.

TEAM LEAD – BACKEND / FULL STACK ENGINEER (FINTECH)

Impacto Digifin Technologies Pvt. Ltd.

Bangalore (Brookefield) | Work from Office | Full-Time

Job Location

Bangalore (Brookefield) – Work from Office

Experience

3–5 Years

Employment Type

Full-Time

Department

Engineering / Product Development

Document Date

21 October 2026

Role Overview

We are hiring a hands-on Team Lead to design, build, and run the backend of our digital banking and payments products. You will lead a small team building Java and Spring Boot microservices, Apache Kafka event pipelines, and PostgreSQL data models that move real money for banks and their customers.

The role is backend-first, with full stack ownership: you will also guide ReactJS and Next.js frontends that sit on top of these services. You will own the full lifecycle, from requirement analysis and system design to production deployment, monitoring, and 24x7 support.

We want someone who treats correctness, auditability, and uptime as product features.

Key Responsibilities

A. Backend and Microservices Development

·   Design and build scalable, high-performance backend services using Java and Spring Boot.

·   Design and implement RESTful APIs, microservices, and third-party integrations with clear, versioned API contracts.

·   Implement authentication, authorization, input validation, and secure coding practices across all services.

·   Write clean, maintainable, and testable code, backed by unit, integration, and API tests.

B. Event-Driven Architecture with Apache Kafka

·   Build and maintain event-driven systems using Kafka producers, consumers, and Kafka Streams.

·   Design event schemas, topics, partitioning, and retention to match business flows.

·   Ensure exactly-once or idempotent processing so no event is lost or applied twice.

·   Handle retries, dead-letter topics, consumer lag, and replay for failed or delayed events.

·   Apply patterns such as Outbox, Saga, event sourcing, and CQRS where they fit.

C. PostgreSQL Data Design and Management

·   Design normalized, transactional data models in PostgreSQL for accounts, ledgers, payments, and customers.

·   Use ACID transactions, appropriate isolation levels, and row-level locking to keep balances correct under concurrent load.

·   Tune queries, indexes, partitioning, and connection pooling for high-volume tables.

·   Manage schema changes safely with versioned migrations (Flyway or Liquibase) and zero-downtime deployment.

·   Plan data archival, backup, point-in-time recovery, and read replicas for reporting.

D. Full Stack Ownership

·   Guide and contribute to responsive web applications built with ReactJS, Next.js, and TypeScript.

·   Integrate frontend applications with backend services and keep API contracts in sync.

·   Optimize end-to-end performance, responsiveness, and reliability.

E. Team Leadership

·   Lead, mentor, and support developers in daily technical work.

·   Break business requirements into technical specifications, tasks, and delivery plans.

·   Assign work, track progress, and deliver milestones on time.

·   Run code reviews, architecture discussions, and technical design reviews.

·   Participate in sprint planning, stand-ups, reviews, and retrospectives.

·   Coordinate with Product, QA, UI/UX, DevOps, Business, and Management teams.

·   Support technical interviews, onboarding, and knowledge sharing.

F. Deployment and Production Support

·   Use Git-based workflows, Docker, and CI/CD pipelines for builds and releases.

·   Own production health: troubleshoot incidents, fix performance bottlenecks, and lead root-cause analysis.

·   Maintain technical documentation, runbooks, and deployment procedures.

G. AI-Assisted Development

·   Use AI coding tools such as ChatGPT, Claude, GitHub Copilot, or Cursor for code, tests, debugging, and documentation.

·   Review and validate all AI-generated output before it reaches production.

Designing and Maintaining Banking Products

Designing Banking Products

·   Ledger-first design: build double-entry ledgers in PostgreSQL where every debit has a matching credit and balances can always be rebuilt from entries.

·   Transaction integrity: use idempotency keys, unique transaction references, and state machines so a request retried by a customer, bank, or network never posts twice.

·   Payment flows: design end-to-end flows for UPI, IMPS, NEFT, RTGS, and card or wallet payments, including timeouts, pending states, reversals, and refunds.

·   Distributed consistency: keep data consistent across microservices with Outbox, Saga, and compensating transactions instead of distributed locks.

·   Core banking integration: integrate with core banking systems such as Oracle FLEXCUBE or Finacle, NPCI and switch interfaces, and partner bank APIs.

·   Product configuration: model savings and current accounts, loans, deposits, and wallets so limits, charges, interest, and rules are configuration rather than code changes.

·   Customer lifecycle: support onboarding, KYC and e-KYC, account servicing, and closure with clear status tracking.

·   Security by design: encrypt sensitive data at rest and in transit, mask PII in logs, manage keys through HSM or a vault, and apply least-privilege access.

·   Regulatory compliance: build to RBI guidelines, including data localization, audit trails, and NPCI operating rules, and align with PCI DSS where card data is involved.

·   Controls: implement maker-checker approvals, transaction limits, velocity checks, and hooks for fraud and AML monitoring.

Maintaining Banking Products in Production

·   Reconciliation: run daily automated reconciliation between internal ledgers, partner banks, NPCI, and settlement files, and resolve mismatches within agreed timelines.

·   Settlement and batch jobs: own end-of-day and beginning-of-day processes, interest accrual, charges, and settlement runs, and make them safe to re-run.

·   High availability: design for 24x7 uptime with no single point of failure, graceful degradation, and defined RPO and RTO for disaster recovery.

·   Observability: track business and technical metrics such as transaction success rate, latency, and consumer lag in Prometheus and Grafana, with alerts before customers notice.

·   Incident management: lead incident response, customer-impact assessment, root-cause analysis, and post-incident fixes for failed or stuck transactions.

·   Safe change management: release through feature flags, canary or blue-green deployments, and backward-compatible APIs and schemas, with tested rollback plans.

·   Audit and reporting: keep immutable audit logs and support regulatory reports, internal audits, and data requests from banks and regulators.

·   Continuous improvement: track defects, performance, and technical debt, and plan regular upgrades of frameworks, libraries, and security patches.

Required Skills and Qualifications

Candidates must have hands-on experience in the following areas:

·   Backend: strong Java (Core Java, Java 17+), Spring Boot, Spring MVC, Spring Data JPA, and Spring Security.

·   Messaging: Apache Kafka, including producers, consumers, Kafka Streams, event design, partitioning, and offset management.

·   Database: strong SQL and PostgreSQL, including data modeling, transactions, isolation levels, indexing, and query tuning.

·   Architecture: microservices, distributed systems, event-driven design, OOP, and design patterns.

·   APIs: designing and documenting RESTful APIs with JSON and OpenAPI/Swagger.

·   Frontend: working knowledge of ReactJS, Next.js, JavaScript (ES6+), and TypeScript.

·   DevOps: Docker, Git (GitHub or GitLab), and CI/CD pipelines.

·   Testing: unit and integration testing with JUnit and Mockito, plus debugging and code review.

·   Leadership: experience guiding developers, reviewing code, planning tasks, and owning delivery.

·   Problem solving: strong debugging skills for production issues in distributed systems.

Mandatory Screening Requirement: Candidates must have strong backend experience in Java, Spring Boot, Kafka, and PostgreSQL, plus working frontend knowledge in ReactJS or Next.js. Frontend-only profiles will not meet the core requirement.

Good to Have

·   Payments domain: experience with UPI, IMPS, NEFT, RTGS, NPCI integrations, or card and wallet systems is highly preferred.

·   Message-driven patterns: event sourcing, CQRS, Saga, and Outbox.

·   Performance: experience building high-throughput, low-latency systems, such as payments or UPI switches.

·   Spring ecosystem: Spring Cloud, Spring Batch, Spring WebFlux, and Spring Integration.

·   Security: OAuth 2.0, JWT, OpenID Connect, encryption, key management, and OWASP practices.

·   Data and caching: Redis, PostgreSQL replication and partitioning, and Oracle Database or Oracle FLEXCUBE exposure.

·   Cloud and orchestration: Kubernetes, Jenkins or GitHub Actions, and AWS, Azure, or GCP.

·   Monitoring and quality: Prometheus, Grafana, ELK Stack, OpenTelemetry, and SonarQube.

·   Compliance: working knowledge of RBI guidelines, PCI DSS, and audit requirements.

·   Ways of working: experience in Agile/Scrum teams.

Preferred Domain Experience

·   Banking, Financial Services and FinTech.

·   Digital payments, lending, or core banking platforms.

·   Enterprise integrations and digital transformation projects.

Roles and Responsibilities

• Build features across the stack — Implement product features that span the React frontend, the GraphQL federation, the Node.js microservices, and the underlying Postgres and ClickHouse stores.
• GraphQL federation work — Add types, resolvers, and subgraph capabilities to the federated Platform API. Keep subgraph boundaries clean. Respect RBAC enforcement at the federation layer.
• Developer experience surfaces — Lift NPS through intuitive UI/UX, fast onboarding, in-browser testing, clear error states, code-snippet generation, and fast time-to-first-successful-call.
• Billing and commerce features — Ship subscription, plan, invoice, payout, and overage features that touch Stripe / PayPal webhooks, the billing state machine, and the usage ledger.
• API catalog and discovery — Improve marketplace search and the API listing experience, including the ranking signals that flow in from the analytics and search stack.
• Observability and quality — Instrument every feature you ship — logs, traces, and metrics are part of the definition of done, not a follow-up ticket. Write the alerts that page you, not someone else.
• Testing discipline — Own unit and integration tests for everything you ship; contribute to the end-to-end and contract test suites that protect the federation and the billing path. A feature without tests is not done.
• On-call and incident response — Take part in on-call rotations; investigate proxy errors, GraphQL federation timeouts, and billing webhook anomalies. You build it, you run it.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are shipped, reviewed, and tested.

What Success Looks Like

•  Features you ship measurably improve activation, time-to-first-successful-call, and developer NPS quarter over quarter.
• The GraphQL federation surface you touch stays fast, well-typed, and intuitive for the next engineer.
• Billing, subscription, and overage flows you build are accurate, auditable, and replayable — providers and consumers trust the numbers.
• ou ship at a confident cadence — PRs land daily, deploys are routine and boring, regressions are rare.
• You leave the code, the docs, and the tests in better shape than you found them.

What You Bring

• 4–7 years of full-stack product engineering experience, with non-trivial work on production systems used by real customers.
• Strong TypeScript/Node.js; comfort writing both frontend (React) and backend services.
• Hands-on GraphQL experience — ideally federation (Apollo Federation / Mercurius / similar), schema design, subgraph composition, persisted queries, performance tuning.
• Solid SQL and comfort with MySQL or Postgres in production; bonus for ClickHouse or Redis experience.
• Familiarity with AWS (EKS, Lambda, Aurora) and containerised deployment on Kubernetes.
• Comfortable with modern observability, feature flags, and CI/CD pipelines.
• Care for developer experience — APIs you would want to consume, docs you would want to read, errors you would want to debug.
• Bonus: experience with billing/commerce systems (Stripe / PayPal), API gateways, rate-limiting, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.
• You are pragmatic, ship-oriented, and comfortable in a system big enough that no one person knows all of it.

Job Description – Java Full Stack + DevOps Engineer

Position

Java Full Stack + DevOps Engineer

Hiring Requirement

HR: Gangadharam

Experience

8+ Years

Location

Bangalore & Hyderabad

Role Overview

We are looking for an experienced Java Full Stack + DevOps Engineer with strong expertise in Java, React or Angular, DevOps, Virtual Machines, Docker, and Kubernetes.

The ideal candidate should have strong hands-on experience in Java application development along with frontend technologies and containerization/deployment practices.

Mandatory Skills

• Java – Strong hands-on experience
• React or Angular – Frontend development experience
• DevOps – Good understanding of CI/CD and deployment practices
• Virtual Machines (VM)
• Docker
• Kubernetes

Key Responsibilities

• Design, develop, and maintain scalable applications using Java.
• Develop and integrate frontend applications using React or Angular.
• Work closely with DevOps teams to build and maintain CI/CD pipelines.
• Deploy and manage applications in Virtual Machine environments.
• Containerize applications using Docker.
• Deploy, manage, and troubleshoot applications using Kubernetes.
• Work on application performance, scalability, availability, and reliability.
• Collaborate with cross-functional teams including developers, DevOps engineers, and architects.
• Troubleshoot production and deployment-related issues.
• Follow best practices for coding, containerization, deployment, and application security.

Candidate Requirements

• 8+ years of IT experience with strong Java development experience.
• Hands-on experience in React or Angular.
• Strong understanding of DevOps concepts and practices.
• Experience working with VMs, Docker, and Kubernetes.
• Good understanding of application deployment and container orchestration.
• Strong communication and problem-solving skills.

Job Details

HR: Gangadharam

Role: Java Full Stack + DevOps Engineer

Experience: 8+ Years

Location: Bangalore & Hyderabad

Key Skills: Java + React/Angular + DevOps + VM + Docker + Kubernetes

IT professional with approximately 4 year experience. Expert in production support, application support, aws, application support devops engineer, linux, docker, github, jenkins, maven, tomcat server, kubernetes.

Cloud Engineers – 2nd Shift – 4+ Years Experience

Required Qualifications:

• Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
• Proficiency in IaC tools such as Terraform and/or CloudFormation.
• Solid scripting skills in Python, Bash, or equivalent for automation tasks.
• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
• Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
• Strong troubleshooting mindset and experience resolving production-level issues.
• Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.

Preferred Qualifications:

• AWS certifications (e.g., SysOps Administrator).
• Experience with containerization (Docker, Kubernetes/EKS/ECS).
• Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
• CI/CD pipeline, infra pipelines.
• AWS services like compute, network, storage, security.
• Migration experience like Discovery/Assessments, TA, Infra Design.

Technical Support Engineer: Application Maintenance

Company: Gemba ConnectExperience: 1–4 yearsOpenings: 2Location: [City / Hybrid]Type: Full-time

About the role

Gemba Connect builds and runs business applications (ERP, WMS, manufacturing and packaging) for clients across Worls . We're starting a new Maintenance Team to keep these applications reliable. In this role you will fix production issues, maintain code across several applications and review code before release.

What you'll do

• Respond to production incidents, find the root cause and ship fixes quickly

• Fix bugs and improve performance in Java/Spring Boot and React applications

• Review merge requests for code quality, security and performance

• Monitor application health and help prevent repeat issues

Required skills

• 1–4 years of hands-on development or production support experience.

• Java + Spring Boot (REST APIs, JPA/Hibernate, Spring Security/JWT): able to read and debug unfamiliar code quickly.

• JavaScript/TypeScript with React or Next.js.

• SQL (preferably MS SQL / Azure SQL): writing queries, reading execution plans, adding indexes.

• Git workflows: branching, merge requests, resolving conflicts.

• Basic Linux and command-line skills.

• Good debugging skills with logs and stack traces.

• Clear written communication, especially for incident updates and review comments.

Good to have

• Docker, Kubernetes or any cloud platform (Azure preferred)

• CI/CD tools like Jenkins or GitLab

• Monitoring tools like Grafana

Why join us

• Hands-on experience with production systems for real clients

• Work across many technologies: backend, frontend, cloud and DevOps

• A new team, so your work will shape how it's built

Job Summary

We are looking for an experienced Senior .NET Developer with strong hands-on expertise in .NET 8, .NET Core, C#, ASP.NET Web API, SQL Server, and Angular 15+. The ideal candidate should have experience developing scalable web applications, designing RESTful APIs, working with cloud platforms, and implementing CI/CD pipelines and infrastructure automation.

Mandatory Skills

• Strong hands-on experience with .NET 8, .NET Core, C#, and .NET Framework.
• Experience in developing and maintaining Web APIs and RESTful APIs.
• Strong knowledge of SQL Server, database design, and query optimization.
• Hands-on experience with Angular 15+.
• Experience with Docker and containerized applications.
• Working experience with at least one cloud platform: GCP, Azure, or PCF.
• Experience with CI/CD pipelines and deployment automation.
• Knowledge of Terraform for infrastructure as code.
• Experience with unit testing frameworks such as MSTest or xUnit.

Key Responsibilities

• Design, develop, test, and maintain scalable applications using .NET technologies.
• Build and integrate RESTful APIs and backend services.
• Develop responsive front-end applications using Angular 15+.
• Work with SQL Server for database development, optimization, and performance tuning.
• Deploy and manage applications using Docker and cloud platforms.
• Implement and maintain CI/CD pipelines for automated builds, testing, and deployments.
• Use Terraform to automate infrastructure provisioning and configuration.
• Write unit tests using MSTest or xUnit to ensure code quality and reliability.
• Troubleshoot technical issues, optimize application performance, and ensure security best practices.
• Collaborate with cross-functional teams, participate in code reviews, and contribute to technical design discussions.

Required Qualifications

• 6–12 years of experience in .NET application development.
• Strong problem-solving, analytical, and debugging skills.
• Good understanding of software development best practices and design principles.
• Ability to work independently and collaboratively in an Agile environment.

Job Description

The engineer will provide direct support to service development teams using the platform and maintain/develop platform components across CI pipelines, tool integrations, deployment architecture, monitoring, documentation, and self-service initiatives.

Responsibilities

• Support onboarding and technical discussions with development teams.
• Provide technical guidance and documentation.
• Support development engineers on CI/CD pipelines, deployments, logging and monitoring.
• Improve platform code, processes and documentation.
• Provide production infrastructure/operations support, including on-call support.
• Research product requirements and new technology rollouts.

Core Mandatory Skills

Kubernetes / Amazon EKS, Terraform, Terragrunt, AWS Cloud, Docker, CI/CD Pipelines, GitOps, Python / Go / Java, Cloud Operations / DevOps, Logging / Monitoring / Tracing, Incident Management

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

E-Commerce Technical Lead

Type: Full-Time    Experience: 5+ years    Location: Onsite, Bangalore

ABOUT THE ROLE

Y-NOT Design & Mfg is a promotional products, sourcing, and custom manufacturing organization serving Fortune 1000 brands and enterprise clients. Through BrandifyME, our E-Commerce division is focused on building the next generation of digital commerce for customized and branded products at scale.

The BrandifyME team owns the company’s digital commerce ecosystem, including storefront experience, product merchandising, supplier integrations, customization workflows, corporate stores, pricing synchronization, checkout experience, and large-scale operational e-commerce workflows. The team works across both customer-facing experiences and backend operational processes to create a scalable and efficient commerce platform built for enterprise-level sourcing and fulfillment.

The E-Commerce division works closely with the Automation team across multiple initiatives. While BrandifyME focuses on the commerce experience, digital operations, and platform execution, the Automation division develops the internal systems, AI-assisted infrastructure, workflows, and operational tooling that power and enhance those processes behind the scenes. Together, both teams collaborate to improve scalability, efficiency, operational visibility, and the future technology infrastructure of the organization.

Here is our website: https://y-not.com/

IN YOUR FIRST 6 MONTHS YOU WILL

▪       Take full ownership of BrandifyME's eCommerce stack: storefront, Shopify integrations, Sample Tracker, project workspace, and eCommerce-side middleware.

▪       Complete a structured knowledge transfer with the outgoing engineer and establish your own architectural baseline across the codebase.

▪       Review and approve all eCommerce engineering work before deployment; establish code-review standards the team follows consistently.

▪       Implement or lead at least one significant integration: Shopify, supplier, ERP (Odoo), shipping provider, or middleware, end to end.

▪       Coach full-stack developers through a structured growth plan toward senior-level engineering practice.

▪       Own on-call rotation for eCommerce production incidents and establish clear runbooks for the most common failure modes.

▪       Collaborate closely with the Automation Lead and Technical Manager to ensure clean handoffs at the eCommerce/Automation boundary.

▪       Contribute to hiring and onboarding the broader team as BrandifyME scales through Wave 1.

YOU'LL BE A FIT IF

▪       Experience with PHP Laravel-based applications and backend systems

▪       Exposure to Shopify/eCommerce platforms and related integrations

▪       Understanding of APIs, web technologies, and scalable application workflows

▪       Familiarity with AWS/cloud-hosted environments and deployment workflows is a plus

▪       Experience working in Agile/SCRUM-based engineering environments

▪       You have production experience with Shopify Plus or an equivalent eCommerce platform, you have personally owned integrations end to end.

▪       You are fluent in the full stack we use: Vite / React / TypeScript on the frontend; Supabase / PostgreSQL / Deno edge functions on the backend.

▪       You have strong PostgreSQL discipline: RLS, migrations, query performance and have shipped systems with real production surface area.

▪       You have built and operated REST/GraphQL integrations with retry logic, idempotency patterns, and webhook reliability.

▪       You have a proven track record coaching mid-level engineers toward senior-level practice, not just directing senior peers.

▪       You have worked in a startup or entrepreneurial environment and are comfortable with ambiguity, fast iteration, and a codebase that has 100+ migrations.

BONUS POINTS

▪       Experience with Odoo ERP integrations or promotional-products supplier APIs (ASI, PromoStandards, ESP).

▪       Familiarity with Cloudflare Workers / edge-function patterns at production scale.

▪       Experience building or scaling a zero-inventory / drop-ship commerce model.

Technical Skills -

• 4–6 years of experience in Golang development, backend engineering, or automation testing. 
• Strong hands-on proficiency in Golang and backend development concepts. 
• Hands-on experience with Kubernetes and containerized environments. 
• Experience developing automation frameworks, unit tests, integration tests, and API validation tools using Go. 
• Strong understanding of distributed systems, system design, and cloud-native architecture. 
• Experience in validating backend services, REST/gRPC APIs, and Kubernetes-based platforms. 
• Familiarity with Docker, CI/CD pipelines, Jenkins, and GitHub Actions. 
• Knowledge of cloud-native observability tools such as Prometheus and Grafana. 
• Strong debugging, analytical, and problem-solving skills. 
• Ability to contribute to backend development, reliability improvements, and performance validation. 

Key Responsibilities -

• Develop automation frameworks, unit tests, integration tests, and validation tools using Golang. 
• Validate backend services, distributed systems, REST/gRPC APIs, and Kubernetes-based platforms. 
• Contribute to backend development, debugging, reliability improvements, and performance validation. 
• Work with cloud-native technologies such as Kubernetes, Docker, Prometheus, and Grafana. 
• Automate workflows and testing through CI/CD pipelines using Jenkins/GitHub Actions. 
• Collaborate with engineering teams to improve system quality, observability, and test coverage. 

Good to Have -

• Experience with infrastructure platforms or storage systems. 
• Exposure to AWS, Azure, or GCP. 
• Experience with performance, load, or resiliency testing. 
• Familiarity with Ginkgo, Gomega, or similar Go testing frameworks. 

Position Summary

We are seeking an experienced Senior Golang Developer with deep expertise in Kubernetes controllers and operators to join our Cloud & Infrastructure Engineering team. You will design, develop, and maintain robust Kubernetes-native applications and custom operators that power our clients' containerized infrastructure. You should have 4+ years of professional Golang experience with demonstrated proficiency building production-grade Kubernetes controllers and operators.

Key Responsibilities

Design and develop custom Kubernetes controllers and operators to extend platform functionality

Write clean, efficient, maintainable Golang code following industry best practices and design patterns

Implement and manage Custom Resource Definitions (CRDs) for Kubernetes platforms

Develop API clients and libraries for Kubernetes resource management

Collaborate with DevOps and Platform teams to integrate operators into production environments

Implement comprehensive unit and integration testing strategies for controller logic

Troubleshoot and debug complex issues in Kubernetes environments

Contribute to architectural decisions and technical documentation

Mentor junior developers and participate in code reviews

Required Qualifications

4+ years of professional experience developing applications in Golang

2+ years of hands-on experience building and maintaining Kubernetes controllers and/or operators (e.g., using Kubebuilder, Operator SDK, or controller-runtime)

Strong understanding of Kubernetes architecture, APIs, and resource management

Proficiency with Custom Resource Definitions (CRDs) and API conventions

Experience with containerization technologies (Docker, container registries)

Solid understanding of concurrent programming and goroutines

Experience with version control systems (Git) and CI/CD pipelines

Demonstrated ability to write unit tests and integration tests

Primary Skills:

Python / Golang, RESTful APIs, Docker, Kubernetes, Linux

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Primary Skills:

Python / Golang, RESTful APIs, Docker, Kubernetes, Linux

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Primary Skills:

Python / Golang, RESTful APIs, Docker, Kubernetes, Linux

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 1-2 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

About Company

We are building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings.

About the Role

We are looking for a versatile, hands-on software engineer to join our growing team. You will work across embedded Linux systems, networking stacks, robotic middleware, and cloud-connected services. This role demands strong fundamentals, intellectual curiosity, and the ability to learn quickly — not just familiarity with buzzwords.

On-site, Bengaluru

Responsibilities

• Design and implement robot boot-up sequences and service orchestration to ensure reliable, deterministic system bring-up.
• Configure and manage Linux networking — TCP/IP stack, HTTP, iptables, ARP, DHCP, DNS — for robot-to-cloud and inter-robot communication.
• Own CI/CD pipelines using ArgoCD, GitHub Actions, and containerized workflows to ship software to robots.
• Manage Docker-based deployment and runtime environments on robot and cloud infrastructure.
• Write and maintain system administration tooling and bash scripts for fleet management and diagnostics.
• Collaborate closely with robotics, perception, and application teams to integrate platform capabilities.
• Establish and enforce best practices around Git workflows, branching strategies, and code review.
• Lead and mentor a small platform engineering team — set technical direction, conduct code reviews, and drive execution.

Requirements

All candidates must demonstrate solid, hands-on competency in every item listed below.

• Linux systems programming in C
• File I/O — read, write, seek, memory-mapped files
• Multi-threading — pthreads, mutexes, condition variables, thread safety
• Socket communication — TCP/UDP sockets, select/poll/epoll
• Basic data structures & algorithms — stack, heap, queue, linked list
• General comprehension ability — reading technical manuals, datasheets, and RFCs
• Python scripting
• Bash scripting
• Git — CLI usage, branching, merging, rebasing, conflict resolution
• Standard UML diagrams — flowchart, sequence diagram, deployment diagram
• Windowless text editor — vim, nano, or equivalent

Strong Advantage

• C++ programming — C++17, OOP, templates, STL
• Common network protocols — DHCP, ARP, TCP, UDP, DNS
• Network configuration — routers, switches, VLANs, subnetting
• Server-client application architecture
• P2P vs. centralised communication — DDS vs. MQTT
• Database management — SQL vs. NoSQL, schema design
• Network security — checksums (CRC, MD5, SHA), public-key encryption, digital signatures
• ROS2 framework — pub/sub, services, actions, lifecycle nodes, DDS transport
• CMake build system — targets, find_package, CTest integration
• Docker — Dockerfiles, docker-compose, remote image registries

Must-haves (non-negotiable)

• Strong Linux systems programming in C — multi-threading (pthreads), socket communication (TCP/UDP, epoll), and file I/O
• Hands-on experience with CI/CD pipelines (ArgoCD, GitHub Actions) and Docker-based deployments
• Networking expertise — TCP/IP stack, DHCP, DNS, iptables, inter-device communication
• Proficiency in Python and Bash scripting for fleet management and diagnostics
• ROS2 experience (pub/sub, DDS, lifecycle nodes) is a strong advantage

Senior Software Engineer - I (Full Stack Developer) at Planview.

Location: Bengaluru, India

Experience: 6–10 Years

Work Mode: Hybrid — two days per week in the office (mandatory)

Team: Release and Verify Product Line

About the role

You will own full-stack feature delivery for Planview’s SaaS product line, working across backend services and frontend applications in a collaborative, hybrid environment.

Key responsibilities

• Design, build, and maintain full-stack features using C# / .NET Core and React.
• Design and implement RESTful APIs.
• Develop and maintain SQL Server schemas, queries, and stored procedures.
• Build automated end-to-end tests using Cypress and unit tests using Vitest.
• Manage Git/Bitbucket workflows, including branching, merging, rebasing, and pull request reviews.
• Build and maintain reliable CI/CD pipelines.
• Use AI-assisted engineering tools such as GitHub Copilot, Claude Code, or Cursor to support development, code reviews, and troubleshooting.
• Collaborate with QA, Product, and Design to deliver features end to end.
• Troubleshoot production issues with the DevOps team.
• Mentor junior engineers and contribute to engineering quality and review practices.

Required qualifications:

• 6–10 years of experience in full-stack software development.
• Strong experience with C# / .NET Core for scalable services and APIs.
• Strong experience building modern, responsive user interfaces with React.
• Experience with SQL Server schema design, queries, and performance fundamentals.
• Experience designing and integrating REST APIs.
• Proficiency with Git/Bitbucket, including branching strategies and pull request reviews.
• Experience building and maintaining CI/CD pipelines.
• Experience with Cypress for end-to-end test automation.
• Comfort using AI coding assistants in day-to-day software development. This may be evaluated during the interview process at the interviewer’s discretion.

Nice-to-have skills:

• Redis caching
• AWS or CloudFront
• ExtJS
• Vitest
• Docker
• AI/LLM integrations using Azure OpenAI, Semantic Kernel, or similar frameworks
• AI-powered code quality tools such as GitHub Copilot Autofix or SonarQube

Job Title: Platform Engineer

Location: Bangalore(Onsite)

Experience Level: 3-8

Salary Range: 20-30LPA

Description:

Join a team building an AI-native enterprise platform that helps businesses make faster, smarter and more consistent operational decisions using AI, enterprise data and workflow automation.

Design and build the core platform for enterprise decision workflows. Develop reusable workflow and decision runtimes. Build scalable, cloud-native distributed systems and event-driven architectures. Design enterprise-grade APIs and platform services. Build integrations with systems such as SAP and Oracle. Develop secure multi-tenant services with authentication and RBAC. Build and manage AWS cloud infrastructure and deployment systems. Implement monitoring and observability for production systems. Support both cloud and on-premise deployments. Enable faster onboarding and deployment of new enterprise workflows.

Requirements:

- Strong hands-on experience with Python

- FastAPI

- PostgreSQL

- Docker

- AWS

- Practical experience with Redis

- Kafka/event streaming

- REST APIs

- CI/CD

- Git

- Good understanding of Kubernetes

- Distributed systems

- Event-driven architecture

- Enterprise SaaS

- Microservices

- Strong backend engineering fundamentals

- Ability to design scalable, reliable and production-ready systems

Company Overview:

Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.

Responsibilities

• Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
• Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
• Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
• Automate configuration and deployment tasks using Python (Ansible a plus).
• Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
• Write Shell and Python scripts to automate operations and reduce manual work.
• Manage Git workflows — branching, merge strategies, and pull request reviews.
• Administer and support MSSQL databases underpinning the product line — backups, restores, and basic performance troubleshooting.
• Troubleshoot deployment, performance, and infrastructure issues with development teams.
• Participate in on-call rotations and drive incident response.
• Continuously improve infrastructure resilience and deployment speed.
• Apply AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.

Qualifications

Must-Have Skills

• Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
• OS: Windows administration (systemd, package management, log analysis).
• Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
• Source Control: Git — branching, merge/rebase, PR reviews.
• CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
• Containerization (Docker + ECS): Task definitions, services, and clusters.
• IaC: Terraform.
• Monitoring: New Relic.
• Scripting: Bash and Python scripting for automation.
• Networking Basics: DNS, load balancers, security groups, VPNs.
• Logging: ELK stack / CloudWatch Logs.
• Database: MSSQL administration — backups, restores, basic performance troubleshooting.
• Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
• AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.

Nice-to-Have Skills

•     Configuration Management: Ansible.

•     Additional IaC: CloudFormation.

•     Architecture: Knowledge of microservices architecture.

•     Cloudflare: DNS, CDN, WAF.

•     Artifact Repositories: Nexus, JFrog Artifactory, ECR.

•     Other CI/CD Tools: GitHub Actions.

•     AWS cost optimization / FinOps awareness.

•     Datadog, CloudWatch, or Prometheus/Grafana.

•     AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).

•     Database Basics: RDS backups, restores, performance tuning.

About the Role

We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.

This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.

As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.

This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.

Key Responsibilities

Customer Discovery & Solutioning

• Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
• Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
• Translate business requirements into high-level cloud and AI solution architectures.
• Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.

Cloud Transformation Consulting

• Support customer initiatives across:
• Cloud Migration
• Application Modernization
• DevOps Transformation
• Managed Services
• Security & Compliance
• Resilience & Disaster Recovery
• Conduct cloud assessments and migration readiness evaluations.
• Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
• Leverage AWS programs and frameworks such as:
• Migration Acceleration Program (MAP)
• AWS Well-Architected Framework (WAFR)
• Foundational Technical Review (FTR)

AI & GenAI Solution Consulting

• Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
• Participate in AI discovery workshops and business value discussions.
• Support solution design for AI-powered applications leveraging AWS AI services.
• Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
• Assist customers in identifying suitable use cases for:
• Generative AI
• AI Assistants
• Knowledge Management Solutions
• Intelligent Automation
• Conversational AI

Proposal Development & Technical Presales

• Collaborate with Solution Architects to create:
• Technical Proposals
• Architecture Diagrams
• Effort Estimates
• Statements of Work (SOWs)
• Technical Responses to RFPs/RFIs
• Present solutions, recommendations, and technical approaches to customer stakeholders.
• Support Proof of Concepts (PoCs), demonstrations, and technical validations.
• Participate in technical reviews and solution walkthroughs.

Customer Engagement & Thought Leadership

• Attend customer meetings jointly with Sales teams to provide technical expertise.
• Build credibility and trust with customer technical and business stakeholders.
• Contribute to webinars, workshops, technical presentations, and customer-facing events.
• Write blogs, case studies, solution briefs, and technical content that supports business growth.
• Maintain an active presence in cloud and AI communities.

Collaboration & Knowledge Management

• Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
• Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
• Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
• Contribute to internal capability building and knowledge-sharing initiatives.

Travel & Customer Interaction

• Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
• Represent Comprinno professionally during all customer-facing interactions.

Required Qualifications & Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
• Strong understanding of AWS cloud services across:
• Compute
• Networking
• Storage
• Security
• Databases
• Knowledge of cloud migration and modernization frameworks such as AWS MAP.
• Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
• Understanding of:
• Kubernetes
• Containerization
• Cloud-Native Architectures
• DevOps Practices
• Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
• Ability to create:
• Solution Documents
• Architecture Diagrams
• Technical Proposals
• Effort Estimates
• Statements of Work
• Understanding of Generative AI concepts including:
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Assistants
• Agentic AI Concepts
• Familiarity with AWS AI services such as:
• Amazon Bedrock
• Amazon SageMaker
• Amazon Q
• AWS Solutions Architect – Professional Certification.
• Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
• Familiarity with AI frameworks such as:
• LangChain
• LangGraph
• CrewAI
• OpenAI APIs
• Anthropic APIs
• Strong communication, presentation, and stakeholder management skills.
• Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
• Experience contributing to webinars, blogs, case studies, or technical marketing content.
• AWS Solutions Architect – Associate Certification (Mandatory).
• Customer-centric mindset with strong problem-solving abilities.

Desired Qualifications & Skills

• AWS Specialty Certifications such as:
• Security Specialty
• Advanced Networking Specialty
• Machine Learning Specialty
• DevOps Engineer Professional
• Understanding of compliance frameworks such as:
• ISO 27001
• SOC 2
• HIPAA
• MBA or equivalent business qualification.
• Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.

What We're Looking For

• Strong consulting mindset with the ability to understand customer business challenges.
• Excellent communication and presentation skills.
• Ability to balance technical depth with business value articulation.
• Passion for cloud technologies, AI, and emerging innovation.
• Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
• High ownership and accountability.
• Curiosity and continuous learning mindset.
• Willingness to travel and work from customer locations across India and internationally as required by project engagements.

What Success Looks Like

• Consistently contributes to qualified pipeline creation and deal progression.
• Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
• Builds credibility with customers through strong technical consulting and solution design.
• Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
• Develops reusable presales assets, assessment frameworks, and solution accelerators.
• Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
• Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.

Why Join Comprinno

• Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
• Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
• Collaborate directly with enterprise customers and influence strategic technology decisions.
• Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
• Contribute to innovative solutions including Tevico and future AI-powered offerings.
• Build thought leadership through webinars, blogs, events, and community participation.
• Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.

Employment Type: Full-time, Contractual

Contract Duration: 3–6 Months

Job Summary

We are looking for a skilled .NET Developer with strong experience in C#, ASP.NET Core,

Web APIs, and modern application development practices. The ideal candidate should have a

solid understanding of .NET fundamentals, dependency injection, middleware, action filters,

model binding, and application architecture.

Key Responsibilities

 Design, develop, and maintain scalable applications using .NET and ASP.NET Core.

 Develop and consume RESTful APIs and microservices.

 Implement Dependency Injection and follow SOLID principles.

 Develop and configure Middleware components for request processing.

 Implement and customize Action Filters for authorization, validation, logging, and

exception handling.

 Work with Model Binding, Validation, and API request/response handling.

 Optimize application performance and troubleshoot production issues.

 Collaborate with cross-functional teams in Agile environments.

 Participate in code reviews and follow coding best practices.

Mandatory Technical Skills

.NET & C#

 Strong knowledge of C# and .NET Framework/.NET Core.

 Good understanding of OOPs concepts and design patterns.

 Hands-on experience with Extension Methods.

 Understanding of Delegates, Events, Lambda Expressions, LINQ, and Async

Programming.

 Knowledge of IDisposable interface and Using Statement.

ASP.NET Core

 ASP.NET Core MVC

 ASP.NET Core Web API

 Dependency Injection (Singleton, Scoped, Transient lifetimes)

 Middleware Pipeline

 Action Filters

 Model Binding

 Authentication & Authorization

 Exception Handling and Logging

Database

 SQL Server

 Stored Procedures

 Query Optimization

 Entity Framework Core

Additional Skills

 REST APIs

 Git

 Azure DevOps / CI-CD

 Unit Testing

Preferred Skills

 Microservices Architecture

 Docker & Kubernetes

 Azure Cloud Services

 Messaging Services (RabbitMQ, Service Bus)

 Clean Architecture / Domain Driven Design

Interview Focus Areas

Candidates should be able to explain and demonstrate:

 Dependency Injection and service lifetimes (Singleton, Scoped, Transient)

 Middleware vs Action Filters

 Model Binding in ASP.NET Core

 Extension Methods

 IDisposable and Using Statement

 ASP.NET Core Request Pipeline

 REST API Design Principles

What you'll do

The Software Engineer will serve as a full stack developer within the AI and Automation team, focusing on building AI agents, chatbots, and automation solutions. The role involves taking ownership and accountability to meet commitments, developing software using programming languages, and designing, executing, and reporting on system and service tests to ensure applications function as required. Additional responsibilities include monitoring, diagnosing, and resolving technology issues, as well as supporting team members by carrying out prescribed design activities using established procedures.

What you'll bring

3+ years of experience in full stack application development using Python (for backend) and JavaScript/Typescript (for frontend).

Strong understanding of Java.

Strong understanding of Machine Learning /MLOps using Python .

Familiarity with Agentic AI frameworks.

Familiarity with Kubernetes (K8S) and Docker.

Experience in developing solutions using Azure storage and compute solutions.

Proven experience working with Azure AI solutions, especially AI Foundry and AI Search.

Experience in developing distributed event-driven applications using brokers such as Apache Kafka, IBM MQ, Solace, or Azure Event Hub.

Proven experience in working with DevOps frameworks, GIT, and CI/CD pipelines.

Experience developing integrations using established Enterprise Application Integration patterns and tools such as Apache Camel.

Required Qualifications

Specify the minimum educational qualifications necessary for this role, including degree type, field of study, and level attained.

Applicants should hold a bachelor’s degree in any discipline and possess practical experience in software development. Degrees in Computer Science, Software Engineering, or Information Technology are particularly advantageous. 

Generative AI Engineer 

Role Overview:

You will be responsible for the hands-on development, coding, and deployment of AI-powered features. Your focus is on writing clean, efficient code to integrate LLMs into our existing tech stack, building robust data pipelines for RAG, and ensuring the reliability of model outputs through rigorous testing and optimization.

Key Responsibilities

• Application Implementation: Code and integrate LLM APIs (OpenAI, Anthropic, etc.) or local models into backend services using Python, FastAPI, etc.,
• MCP Server Development: Design and implement custom MCP servers using the official SDKs (Python/TypeScript) to expose internal databases, APIs, and file systems to AI agents.
• RAG Implementation: Build and maintain the "plumbing" for Retrieval-Augmented Generation—specifically coding the data ingestion scripts, text chunking logic, and metadata filtering.
• Vector DB Management: Perform day-to-day operations on vector databases (Pinecone, Milvus, etc.), including indexing, querying, and optimizing search retrieval.
• Prompt Programming: Develop, version-control, and refine complex prompt templates (using Jinja2 or similar) to ensure consistent structured outputs (JSON/YAML).
• Agent Development: Implement multi-step workflows using LangChain, LangGraph, CrewAI etc.,, focusing on tool-calling logic and error handling.
• Evaluation & Testing: Build automated test suites to detect "hallucinations" and measure accuracy using frameworks.
• Performance Tuning: Implement caching layers and streaming responses to reduce latency and improve the end-user experience; Token optimization.
• Data Pre-processing: Clean and tokenize datasets for model fine-tuning or high-quality context retrieval.

Technical Skills (The "Execution" Stack)

• Language: Advanced Python (Asyncio, Pydantic) and optional TypeScript/Node.js (for full-stack integration).
• AI Frameworks: Hands-on experience with any of LangChain, LlamaIndex, and Hugging Face Transformers. RAG and Vector search concepts.
• Data Handling: Proficiency in SQL and handling unstructured data formats (PDFs, Markdown, JSON).
• Deployment: Practical experience with Docker, GitHub Actions (CI/CD), and experience with OpenTelemetry, LangSmith, Weights & Biases etc., Understanding of evaluation/guardrails.
• MCP/API Proficiency: Deep understanding of RESTful APIs, Streaming HTTP, MCP server vs client, JSONRPC

Job Title : Software Development Engineer II (SDE 2) – Java or Golang (Backend)

Experience : 3+ Years

Location : Bengaluru

Working Days : 5 Days WFO

Notice Period : Immediate to 15 Days

Interview Process : 3 Client Rounds

Job Overview :

We are looking for an SDE 2 – Backend with strong hands-on experience in Java / Spring Boot or Golang to design, develop, and maintain scalable, high-performance backend applications. Candidates with experience in caching services will be highly preferred.

Mandatory Skills :

Java, Spring Boot, Golang, Gin, gRPC, REST APIs, Microservices, MySQL / PostgreSQL / Oracle, System Design, Caching, Data Structures & Algorithms, Git, CI/CD, Docker, Kubernetes, AWS / GCP.

Key Responsibilities :

• Design, develop, test, and deploy scalable backend applications and APIs.
• Develop microservices using Java / Spring Boot or Golang.
• For Golang roles, experience with Gin and gRPC is preferred.
• Work with MySQL, PostgreSQL, Oracle, or similar databases.
• Design and optimize caching solutions for application performance.
• Participate in system design and architecture discussions.
• Conduct code reviews and write unit/integration tests.
• Troubleshoot bugs and performance issues.
• Collaborate with Product, QA, and other engineering teams.
• Contribute to CI/CD, cloud, and DevOps practices.

Requirements :

• 3 to 5 years of backend development experience.
• Strong proficiency in Java / Spring / Spring Boot or Golang.
• Good understanding of REST APIs, Microservices, DSA, and System Design.
• Experience with relational databases.
• Strong debugging and problem-solving skills.
• Exposure to AWS/GCP, Docker, Kubernetes, Git, and CI/CD.
• Java candidates with end-to-end application design experience are preferred.
• Exposure to AI/ML tools or Low-Code/No-Code frameworks is a plus.

Interview Process :

Round 1 – LeetCode / Coding Round

• Data Structures & Algorithms
• Problem-solving and coding proficiency

Round 2 – System Design

• System architecture
• Scalability and performance
• API and database design
• Caching and distributed systems

Round 3 – Hiring Manager Round

• Technical depth
• Project and ownership experience
• Problem-solving approach
• Communication and collaboration
• Role and culture fit

Job Title : MLOps Engineer

Mode: Hybrid

Experience : 4 to 7 Years

Location : Hyderabad (Priority)/Bengaluru locations only

Notice Period : Immediate Joiner

Job Summary:

We are looking for a skilled and proactive ML Engineer with strong expertise in Python, Databricks, and Machine Learning model development. The ideal candidate should be proficient in building scalable data pipelines and deploying ML models, with a working knowledge of MLOps principles and tooling. This role offers an opportunity to work on impactful AI/ML initiatives in a collaborative environment.

Key Responsibilities:

• Develop and maintain machine learning pipelines for training, testing, and deploying models

• Design and implement infrastructure for managing and monitoring machine learning models

• Work with data scientists to build scalable, efficient, and automated model training and testing processes

• Collaborate with software engineers to integrate machine learning models into production systems

• Automate and optimize the deployment and scaling of machine learning models in a distributed computing environment

• Monitor and troubleshoot machine learning systems and infrastructure to ensure high availability and performance

• Develop and maintain documentation and best practices for MLOps processes and procedures.

Experience:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field

• 3+ years of experience in MLOps or related field, including building and deploying machine learning models at scale

•Proficiency in programming languages such as Python, Java, and C++

•Experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras

• Experience with containerization technologies such as Docker and Kubernetes

• Strong understanding of DevOps principles and practices

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud

Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

Associate Architect – Site Reliability Engineer (SRE)

Experience: 10–14 Years

Location: Bangalore

Required Skills

• 8–14+ years of experience in Site Reliability Engineering (SRE), DevOps, or Cloud Engineering.
• Strong hands-on experience with AWS (EKS, EC2, S3, VPC) and Kubernetes.
• Expertise in Docker, Terraform, Ansible, and Linux administration.
• Experience building and maintaining CI/CD pipelines using Jenkins or GitHub Actions.
• Strong programming skills in Python, Java, or TypeScript.
• Experience with Monitoring & Observability tools like Prometheus, Grafana, Datadog, New Relic, Honeycomb, or ELK.
• Hands-on experience defining and managing SLIs, SLOs, SLAs, proactive monitoring, and incident management.
• Good knowledge of SQL/NoSQL, OpenSearch, Elasticsearch, and AWS S3.
• Experience troubleshooting production issues, RCA, and automation of operational tasks.
• Strong communication skills and ability to work closely with development teams.

Key Responsibilities

• Design, build, and maintain highly available, scalable cloud infrastructure.
• Manage and optimize Kubernetes (EKS) clusters and containerized applications.
• Develop Infrastructure as Code (IaC) using Terraform and Ansible.
• Automate deployments, monitoring, and operational tasks using Python and CI/CD tools.
• Implement SLIs, SLOs, monitoring dashboards, alerting, and observability solutions.
• Troubleshoot production incidents, perform Root Cause Analysis (RCA), and reduce MTTR.
• Support developers with infrastructure architecture, scalability, and reliability improvements.
• Participate in on-call support and production issue resolution.

AI / GenAI (Preferred)

• Experience implementing AIOps solutions for intelligent monitoring and incident management.
• Hands-on experience using GenAI/LLMs (OpenAI, Azure OpenAI, Amazon Q, Vertex AI, etc.) for:
• Automated log analysis
• Incident troubleshooting
• Root Cause Analysis (RCA)
• Runbook automation
• Predictive monitoring and alerting
• Experience integrating AI solutions into DevOps/SRE workflows is an added advantage.

Good to Have

• Istio / Service Mesh
• GitHub Actions
• Datadog / Honeycomb / New Relic
• Elasticsearch / OpenSearch
• Experience in cloud architecture and platform engineering
• Exposure to AI-based infrastructure automation and observability

Job Title : Senior Software Development Engineer in Test (Sr. SDET)

Experience : 5 to 10 Years

Location : Bengaluru (5 Days Work From Office)

Working Days : Monday to Friday (5 Days a Week)

Notice Period : Immediate to 15 Days

Interview Process : 2 Technical Client Rounds

Role Overview :

We are looking for a Senior SDET with strong expertise in Backend/API Automation Testing for Microservices-based applications.

The ideal candidate should have experience building scalable automation frameworks, validating distributed systems, and integrating automation into CI/CD pipelines.

Mandatory Skills :

Java, Backend Automation Testing, API Automation, REST Assured, Microservices, TestNG, JUnit, Maven / Gradle, CI/CD, SQL, Kafka / RabbitMQ / SQS, Docker, Kubernetes, REST APIs, Distributed Systems, Grafana / Prometheus / Kibana / Splunk.

Preferred Skills :

AWS / GCP / Azure, MongoDB, Redis, Cassandra, WireMock, Pact, JMeter, Gatling, k6, Python, Shell Scripting.

Key Responsibilities :

• Design and maintain API/backend automation frameworks.
• Perform functional, integration, regression, and end-to-end testing.
• Automate testing for microservices and event-driven architectures.
• Integrate automation into CI/CD pipelines.
• Validate asynchronous workflows using messaging systems.
• Collaborate with Development and DevOps teams to ensure high-quality releases.
• Mentor QA engineers and improve automation best practices.

Required Skills & Qualifications :

• 5+ years of experience in Software Testing with a strong focus on Backend / API Automation.
• Hands-on experience testing Microservices-based applications.
• Strong expertise in REST API testing using REST Assured, HTTP Client, Postman, or similar tools.
• Excellent programming skills in Java with hands-on experience developing scalable automation frameworks.
• Strong experience with TestNG, JUnit, Maven/Gradle, and CI/CD integration.
• Hands-on experience validating asynchronous workflows using Kafka, RabbitMQ, AWS SQS, or similar messaging platforms.
• Strong knowledge of SQL and relational databases such as MySQL, PostgreSQL, or Oracle, including complex queries and joins.
• Experience working with Docker, Kubernetes, and containerized applications.
• Experience validating applications deployed in Ephemeral or dynamic test environments.
• Good understanding of distributed systems and backend application architecture.
• Experience with observability and monitoring tools such as Grafana, Prometheus, Kibana, or Splunk.
• Strong understanding of software design principles, automation architecture, and test automation design patterns.

Preferred Skills :

• Experience with NoSQL databases such as MongoDB, Redis, or Cassandra.
• Knowledge of contract testing, service virtualization, and mocking tools such as WireMock or Pact.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Experience with performance and resilience testing tools such as JMeter, Gatling, or k6.
• Working knowledge of Python or Shell scripting.

Greetings from NAM Info Pvt Ltd,

Job Title: GCP DevOps Engineer

Location: Bangalore

Experience: 6+ Years

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Description:

We are looking for a GCP DevOps Engineer with hands-on experience in Google Cloud Platform and DevOps tools. The ideal candidate should have experience in CI/CD, cloud infrastructure, automation, and container technologies.

Required Skills:

• Experience with Google Cloud Platform (GCP)
• Knowledge of CI/CD tools such as Jenkins or GitLab CI
• Experience with Docker and Kubernetes (GKE preferred)
• Infrastructure as Code using Terraform
• Good knowledge of Linux and Shell scripting
• Experience with Git version control
• Monitoring tools such as Prometheus or Grafana is a plus
• Good troubleshooting and communication skills

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 10 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 10 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Job Description:

Pre-requisite skills required for a DevOps Engineer role include:

• 6+yrs exp in DevOps
• Experience working on Linux based infrastructure
• knowledge in AWS, docker, CI/CD tools
• Hands on exp in Python/shell scripting language
• hands on exp in AWS and Azure
• Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
• Excellent understanding of Ruby, Python, Perl, and Java
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services

🚀 Job Title : Senior Full Stack Developer (Backend Heavy)

Experience : 8 to 15 Years

Location : Kasturi Nagar, Bengaluru (On-site)

Work Mode : 5 Days Work From Office

Employment Type : Full-Time

Notice Period : Immediate Joiners or Candidates serving notice (LWD within 15–20 days)

About the Role :

PluginHive is looking for a Senior Full Stack Developer with strong backend expertise to build and scale high-volume SaaS applications. The ideal candidate should have hands-on experience in Node.js, React.js, and AWS, with a backend-heavy profile and the ability to independently own applications from development to production.

Mandatory Skills :

Node.js, React.js, AWS, JavaScript/TypeScript, REST APIs, Microservices, SQL/NoSQL, Docker, CI/CD, System Design

Key Responsibilities :

• Develop scalable applications using Node.js and React.js.
• Design and manage cloud infrastructure on AWS.
• Own application development, deployment, production support, and scalability.
• Build REST APIs and microservices.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Troubleshoot production issues and drive performance improvements.

Requirements :

• 8 to 15 years of software development experience.
• Strong hands-on experience in Node.js, React.js, and AWS.
• Experience managing high-volume production applications.
• Strong AWS architecture and cloud ownership experience.
• Good understanding of Docker, CI/CD, databases, and system design.
• Ability to work independently and lead technical decisions.

Hiring Process :

• Round 1 : Screening Call
• Round 2 : Online Technical Interview (Coding, DSA, Project Discussion)
• Round 3 : In-Person Technical Architect Round (System Design & Problem Solving)

What We're Looking For :

We are specifically looking for engineers who :

• Have a backend-heavy Full Stack profile (not frontend-heavy).
• Have independently owned production applications.
• Have hands-on AWS architecture and infrastructure experience.
• Can manage deployments, production issues, database changes, and application scaling.
• Are capable of leading technical decisions and solving complex engineering problems.
• Have worked without relying entirely on a separate DevOps or Cloud team.

Note : Candidates who have only basic AWS knowledge or rely on a separate DevOps team for deployments and infrastructure management will not be considered.

We are seeking a highly skilled and experienced DevOps Engineer to join our development team.

Years of experience needed: 8+ Yrs

Required Skills

Strong experience with GitLab, TeamCity, Terraform, Kubernetes and Docker

Proficiency in various deployment strategies and CI/CD pipeline setups

Solid understanding of Linux administration and Windows IIS.

Advanced scripting skills in bash and PowerShell

Hands-on experience with Google Cloud Platform (GCP) services, particularly GKE, GCS, GCE, Cloud SQL, and load balancers

Familiarity with Autosys for job scheduling and automation

Excellent problem-solving and troubleshooting skills

Ability to work independently and collaboratively in a fast-paced environment

• • Strong communication and interpersonal skills.

Very strong infra engineer to administer Linux based VMs (and few Windows VMs as well).

Must have strong knowledge and hands-on on docker, Kubernetes

Must be good at monitoring (AppDynamics, Prometheus, Grafana) and logging (Splunk)

Develop automation scripts using Shell and Python. Must have good knowledge in Ansible.

Should be good at optimize/finetune server configurations.

 Should be good in troubleshoot issues and fix them.

Agent Application Engineer (Backend / Agentic AI) — Level 1

About Sentiaflow

Sentiaflow is an AI engineering and IT services company that designs and delivers production-grade agentic AI systems. We work at the point where large language models meet real business operations: data, APIs, permissions, workflow state, human decisions, security, evaluation, and measurable outcomes.

Our initial domain focus is healthcare, particularly clinical trials and related operational workflows. These are environments where an impressive demo is not enough. A system must be dependable, traceable, appropriately controlled, and clear about when a human must make the decision.

We are building a specialised engineering organisation across three disciplines:

• Agent Application Engineering
• Agent Platform & Evaluation Engineering
• Applied AI & Model Engineering

The Role

We are hiring strong backend or application engineers who want to specialise in building agentic AI applications. You do not need to arrive with several years of "agent engineer" experience. We are more interested in whether you have built real software, understand how production systems fail, and can learn to use models inside controlled business workflows.

As a Level 1 Agent Application Engineer, you will implement bounded parts of a production workflow under the guidance of an Agent Captain or senior engineer. Your work will connect models to application services, tools, data sources, and human approval points. You will be expected to make every important step observable, testable, and recoverable.

This is not a prompt-writing position, and it is not a generic chatbot role. It is an application engineering role for systems in which some decisions are probabilistic, while the surrounding controls must remain deterministic.

What You Will Work On

The specific client problem will vary, but typical work may include:

• Converting a clinical-operations signal into a bounded workflow that gathers evidence, analyses likely causes, presents options, and routes a recommendation to an authorised person.
• Building services that extract or structure information from trial documents and pass the result through validation and human review.
• Integrating agent workflows with internal APIs, databases, document systems, notification services, and client platforms.
• Implementing workflow state, recovery behaviour, approval gates, permissions, traceability, and scenario-based evaluations.

The work concerns operational decision support and workflow execution. It does not delegate clinical judgment or patient-care decisions to an autonomous model.

What You Will Be Responsible For

• Translate a clearly scoped business workflow into typed inputs, outputs, states, actions, and escalation paths.
• Build reliable application services and tool integrations using Node.js/TypeScript or Python.
• Use an LLM only where model judgment adds value; implement rules, validation, authorisation, and workflow control in deterministic code.
• Design structured model outputs and validate them before they can affect downstream systems.
• Handle partial data, unavailable tools, duplicate events, retries, time-outs, rate limits, and other normal production failure modes.
• Add logging, traces, metrics, and decision records that make the workflow diagnosable.
• Create tests and evaluation cases that measure whether the complete workflow behaves correctly—not merely whether an answer sounds fluent.
• Protect sensitive information and participate in code, design, failure-analysis, and release-readiness reviews.
• Explain your implementation and its trade-offs clearly to engineers, delivery leads, and client stakeholders.

At Level 1, you will not be expected to define the entire client architecture alone. You will be expected to own your assigned module, ask precise questions, surface risks early, and bring it to a production-ready standard with senior review.

What We Are Looking For

Essential Experience

• Approximately 3–6 years of hands-on backend or application engineering experience.
• Evidence that you have built or materially owned production APIs, services, data flows, integrations, or workflow-heavy applications.
• Strong programming ability in JavaScript/TypeScript, Python, Java, C#, Go, or a comparable backend language. Our preference is Node.js/TypeScript, but engineering depth matters more than language loyalty.
• Practical understanding of API design, databases, asynchronous processing, authentication and authorisation, testing, and deployment.
• Ability to reason clearly about state, retries, idempotency, concurrency, permissions, audit trails, and failure recovery.
• Experience debugging real production behaviour rather than only building greenfield demonstrations.
• Clear written and verbal communication, including the ability to explain technical trade-offs without hiding behind framework terminology.

Useful, but Not Mandatory

• Experience integrating LLM or machine-learning capabilities into an application.
• Experience with event-driven systems, state machines, workflow engines, observability, evaluation harnesses, or production incident analysis.
• Experience in healthcare, life sciences, clinical trials, or another regulated or audit-sensitive environment.

Healthcare or clinical-trials experience is preferred, not required at Level 1. We would rather hire a strong production engineer who can learn the domain than a candidate who knows the vocabulary but cannot build dependable systems.

What Does Not Qualify by Itself

Any of the following may be useful experience, but none is sufficient on its own:

• A chatbot or "chat with your documents" application.
• A RAG demonstration built primarily by connecting frameworks.
• A list of AI tools, model names, courses, certificates, or prompt-engineering techniques.
• An application that works in a demo but has no clear handling of permissions, failures, evaluation, or production operations.

How We Will Assess Fit

Our evaluation is designed to identify engineering judgment without asking you to build unpaid project work. We will focus on:

• A structured discussion of a production system you have worked on.
• Questions grounded in your own CV and claimed experience.
• A realistic workflow scenario covering system boundaries, evidence, controls, failure modes, and testing.
• Backend fundamentals and how you would apply them to an AI-enabled workflow.

You are NOT expected to have built a clinical-trials agent before applying.

What Success Looks Like

Within your first six months, you should be able to:

• Implement a bounded agent-workflow module from an agreed design and take responsibility for its quality.
• Integrate models and tools without allowing probabilistic output to bypass deterministic controls.
• Produce traces, tests, and evaluation evidence that support a release decision.
• Diagnose failures across application, tool, data, and model boundaries with progressively less supervision.
• Explain the workflow to a client or domain stakeholder in clear operational language.

Consistent performance at this level creates a path towards Level 2 — Independent Delivery Engineer, where you own a production workflow end to end, including discovery, architecture, integrations, evaluation, failure handling, and release readiness.

Why You Should Join Us

• Build the real systems behind agentic AI. You will work beyond demos and wrappers on the engineering problems that determine whether an AI workflow can operate in production.
• Develop a scarce, durable specialisation. Sentiaflow offers a defined progression across application engineering, platform and evaluation, and applied AI—not a vague instruction to "learn AI."
• Work on consequential operational problems. Clinical-trials workflows demand evidence, traceability, human accountability, and reliable execution.
• Learn through delivery with experienced review. You will own meaningful engineering work while receiving architectural and domain guidance appropriate to your level.
• Influence how the discipline is built. We are at an early stage, so strong engineers will help shape our methods, reusable assets, quality standards, and engineering culture.

We are seeking an experienced, hands-on SDE 3 - FE to build and optimize scalable, user-friendly applications with a focus on micro frontend architectures. The ideal candidate will blend strong UI engineering skills with modern frontend practices, ensuring responsive, secure, and high-quality experiences aligned with business needs.

Responsibilities

●      Design & Build: Develop scalable, performant front-end applications using React, TypeScript, and Micro Frontend architecture.

●      Code Quality: Review PRs, enforce best practices, and introduce patterns to reduce technical debt.

●      UI/UX Excellence: Deliver pixel-perfect, responsive, and accessible UIs across devices and browsers.

●      Performance: Optimise rendering, bundling, caching, and load times for smooth user experiences.

●      Mentorship: Guide and mentor mid/junior engineers, run design/code walkthroughs, and foster a culture of technical excellence.

●      AI-driven Development: Leverage AI tools to accelerate coding, debugging, testing, and documentation in day-to-day workflows.

Criteria:

Experience: ~5–7+ years in software development, with proven expertise in React, modern frontend architectures, and building scalable user interfaces.

Technical Skills

●      Strong proficiency in React.js (v17+), TypeScript, and modern frontend workflows.

●      Experience with Micro Frontend architectures (e.g., Module Federation, Webpack, or similar approaches).

●      Solid expertise in HTML5, CSS3, and mandatory proficiency with Bootstrap for responsive design.

●      Knowledge of Blade templates for frontend-backend integration.

●      Good-to-have: Tailwind CSS and Material UI for component-based design systems.

●      Deep understanding of state management (Redux, Recoil, or equivalent).

●      Experience with frontend performance optimisation and browser dev tools.

●      Familiar with testing frameworks (Jest, React Testing Library, Cypress).

●      Proficiency with Docker and containerised environments.

●      Experience with CI/CD pipelines for frontend deployments.

●      Ability to effectively use AI-powered tools for code generation, refactoring, documentation, and productivity improvements.

Soft Skills

●      Clear and effective communication.

●      Strong sense of ownership and accountability.

●      Ability to break down complex problems and provide accurate estimates.

●      Openness to adopt new tools/technologies to improve team efficiency.

What we offer:

●      An exceptional team: Our hiring bar is high, and your colleagues are talented, motivated self-starters.

●      A learning environment: We are a learning organisation, and as a team, we will help you grow and encourage you to learn and upgrade your skills.

●      Outstanding compensation: top talent deserves top pay, and our salary, equity and benefits reflect this.

●      Opportunities to grow: Encourages you to attend technical conferences and take company funded educational courses to advance your skills.

●      An opportunity to be a key member of a well-capitalised, leading brand in an online real estate investing platform.

On the Job

● Build and maintain scalable cloud infrastructure on AWS

● Improve CI/CD pipelines, deployment systems, and developer workflows

● Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi)

● Manage and optimize Kubernetes clusters and containerized workloads

● Improve observability across systems through monitoring, logging, and alerting

● Drive reliability initiatives including incident response, root cause analysis, and operational

improvements

● Collaborate with engineering teams to improve service scalability, performance, and security

● Implement IAM, secrets management, and infrastructure security best practices

● Optimize infrastructure costs and improve resource efficiency

● Actively leverage AI tools and workflows to improve engineering productivity and automation

Must Haves

● 3–6 years of experience in DevOps, Platform Engineering, or SRE roles

● Strong hands-on experience with AWS infrastructure and services

● Good understanding of Kubernetes, Docker, and container orchestration

● Experience with Infrastructure-as-Code tools like Terraform or Pulumi

● Strong scripting/coding skills in Python, Go, or Bash

● Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI,

etc.)

● Understanding of networking fundamentals, Linux systems, and cloud security practices

● Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog,

etc.

● Strong debugging and problem-solving skills

● Ability to work independently in a fast-moving environment

Good To Haves

● Experience working in fintech or high-scale startup environments

● Exposure to service mesh, zero-trust security, or secrets management systems

● Experience with multi-cluster Kubernetes environments

● Familiarity with incident management, SLOs, and reliability engineering practices

● Experience building internal developer platforms or automation tooling

Role: Azure Devops Consultant

Location: Bangalore

Fulltime

Work Mode: 5 Days Work From Office.

Responsibilities:

· Design and architect CI/CD pipelines and development automation solutions.

· Lead implementation of build versioning, packaging, and dependency

management strategies

· Define standards for code quality, security scanning, and automated testing

integration

· Create reference architectures for development workflows and automation

patterns

· Collaborate with security teams to implement "shift-left" security practices

· Guide implementation of A/B testing and feature flagging architectures

Skills:

· Strong expertise in Azure DevOps,PAAS, Git, CI/CD practices

· Deep understanding of SDLC and automation

· Containerization (Docker, Kubernetes)

· Security scanning tools (Veracode, SonarQube)

· Build tools and artifact management

· IaC (Terraform, ARM templates)

If your code breaks here, it doesn’t just throw an error.

Jobs don’t get fulfilled. Farmers lose trust during crop windows that don’t wait.

We’re hiring a Software Development Engineer in Bangalore to build the systems that keep real-world operations running — from customer-facing products to the internal tools field teams depend on every morning.

→ Design, build, and ship across the stack: backend services, APIs, mobile/web field apps, and operational dashboards

→ Build systems for deployment, attendance, check-in/check-out, work verification, and issue resolution

→ Make products work in low-connectivity, field-heavy conditions with offline-first and vernacular-first experiences

→ Own features end to end — from design discussions to deployment to on-call

→ Work closely with Product, Ops, and field users to solve what’s actually happening on the ground

→ Contribute to data pipelines and analytics that power planning, forecasting, and unit economics

• 1–5 years building production software

• Comfortable across the stack, or deep in one area and ready to stretch

• Strong ownership mindset — you ship, debug production issues, and care if it works for the user

• Pragmatic with trade-offs and able to balance speed with quality

• Bonus if you’ve built for low-bandwidth, offline-first, next-billion-user contexts

Stack: Python, Django, React, PostgreSQL, Redis, AWS/GCP, Docker, CI/CD

You’ll be building software for the real economy — farmers, labour, livelihoods — not another dashboard for another SaaS tool.

📍 Bangalore (on-site) | Reporting to CTO

If this sounds like you — or someone you’d bet on — tag them in the comments or DM me.

#Hiring #SoftwareEngineer #BackendEngineer #FullStackDeveloper #BangaloreJobs #TechJobs

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

About My Client Company

We're building the learning infrastructure that transforms AI agents into true digital workers. While today's agents can reason and plan, they fail to do meaningful work because they lack real experience operating in apps. My Client Product gives agents continuously improving, reusable skills across 1000+ production-grade app connectors including Gmail, Linear, and Hubspot. We handle authentication, tool routing, retries, failure handling, and observability, making every action safe and dependable.

About the Role

Every enterprise is racing to make AI work — not as a demo, but as infrastructure that runs their business. My Client Product is becoming the critical layer that makes this possible: the platform that connects AI agents to 250+ real-world applications with production-grade auth, execution, and reliability.

We've built this for the cloud. Now we need to build it for the enterprise — and that means rethinking the platform from the ground up with the right abstractions, primitives, and architectural decisions that let us serve a massive, diverse set of enterprise customers without bespoke engineering for each one. This is a founding role.

Your Impact

• Agent infrastructure platform: The foundational layer that enterprise AI agents run on — governance, observability, and control planes for MCP-powered agent ecosystems. You'll define how organizations monitor, audit, and manage AI agents operating at scale across their systems
• The integration gateway: The secure, reliable bridge between an enterprise's AI agents and the outside world — every SaaS tool, internal system, and API they need to act on. Not just connectors, but a platform-grade gateway with the right trust, permissioning, and routing primitives
• Platform primitives for scale: Multi-tenancy, isolation, configuration, and extensibility abstractions that let Composio serve thousands of enterprise customers without linear engineering cost
• Enterprise-grade architecture: Deployment flexibility, security, and compliance as first-class platform capabilities — not bolted-on afterthoughts
• The repeatable deployment motion: Turn enterprise onboarding from a services engagement into a product experience. Shorter cycles, fewer custom touches, more self-serve

What you bring

• You've built platforms at genuine scale — not just high user counts, but high complexity: many customer types, deployment models, and integration surfaces
• You think in abstractions and primitives. Your instinct is to find the right foundational model, not to solve each problem individually
• You've shipped enterprise product capabilities (deployment flexibility, security, admin tooling, compliance) and understand them as product problems, not just checkboxes
• You've built or shipped an AI product — or you're the person who can't stop tinkering. You're building agents on weekends, stress-testing the latest models, experimenting with MCP, and forming your own opinions on where agent architectures are headed. You have a point of view on this space, not just a resume line
• You're a force multiplier. When you join a team, the entire product moves faster because the platform decisions are right

Skills & Expertise

Platform Engineering, AI Infrastructure, Agentic AI, AI Agents, MCP (Model Context Protocol), Distributed Systems, Enterprise Architecture, Multi-Tenant Architecture, Backend Platform Engineering, Enterprise SaaS, API Platform Engineering, Integration Platforms, SaaS Connectors, Cloud Infrastructure, AWS, GCP, Kubernetes, Docker, Terraform, Microservices, Event-Driven Architecture, API Gateway, OAuth 2.0, RBAC, IAM, Observability, OpenTelemetry, Prometheus, Grafana, Reliability Engineering, SRE, Python, Golang, Node.js, TypeScript, REST APIs, GraphQL, AI Orchestration, LLM Infrastructure, LangChain, LangGraph, OpenAI APIs, Claude APIs, RAG, Workflow Automation, AI Tool Routing, Enterprise Security, Compliance Engineering, Deployment Architecture, Configuration Management, Extensible Systems, Scalability Engineering, High-Scale Systems, Technical Strategy, Platform Primitives, Developer Platforms, Enterprise Integrations, Infrastructure Engineering, Founding Engineer Mindset.

This role demands deep platform thinking. You've designed systems where the abstractions were the product — where getting the primitives right meant the difference between a product that scales and one that drowns in customer-specific code.

You've done this within large organizations and seen what "enterprise-grade" actually means when thousands of teams depend on your platform. But you've also operated in environments where you had to build fast, make tradeoffs, and ship before the architecture was perfect.

The combination matters. Big-company pattern recognition with small-company intensity.

What We Offer

• Lunch and dinner are provided in the office
• $200/month learning and development budget
• $1,000/month AI tool experimentation budget to automate, accelerate, and improve how you work
• High-ownership role with direct exposure to leadership and company-building decisions
• Competitive salary and equity

Location: Bangalore 

Experience: 4-8 years

Interview Process - Two Rounds - First Round Virtual

Second Round-Face to Face at Bangalore

Key Skills Required

☁️ Cloud & Infrastructure

• Strong hands-on experience with AWS Cloud Services
• Proficiency in Terraform for Infrastructure as Code (IaC)
• Experience in managing scalable cloud environments

⚙️ Containerization & Orchestration

• Solid experience in Kubernetes (K8s) for container orchestration
• Understanding of microservices architecture

🔄 CI/CD & DevOps

• Hands-on experience with Azure DevOps (CI/CD pipelines)
• Experience in build, release, and deployment automation

📊 Observability & Monitoring

• Strong experience with Prometheus & Grafana
• Expertise in setting up alerts, dashboards, and monitoring system health

🔐 API Gateway & Security

• Experience with Kong or equivalent API Gateway
• Understanding of API security controls (authentication, rate limiting, policies)

🧠 Core Technical Competencies

• Strong Linux troubleshooting and system debugging skills
• Proficiency in scripting (Bash / Python / Shell)
• Understanding of networking concepts: TCP/IP, HTTP, DNS, Load Balancing
• Experience with system architecture and distributed systems

🚨 SRE Responsibilities

• Monitor system performance, reliability, and availability
• Handle incidents, perform troubleshooting, and conduct RCA
• Automate operational tasks to improve efficiency
• Build and maintain scalable, resilient infrastructure
• Collaborate with development and DevOps teams for system improvements

🧪 Good to Have

• Experience with Finacle operations
• Exposure to API/load testing tools like JMeter or Gatling
• Familiarity with logging tools like Loki

🤝 Soft Skills

• Strong communication and collaboration skills
• Ability to document processes and technical workflows clearly

🎯 Ideal Candidate

A hands-on SRE/DevOps Engineer with strong exposure to:

• AWS + Terraform + Kubernetes
• CI/CD (Azure DevOps)
• Monitoring + API Gateway security 

Job Title : Senior Node.js Developer (SDE 2)

Experience : 5+ Years

Location : Bengaluru (Whitefield)

Work Mode : Hybrid (3 Days WFO)

Openings : 2

Notice Period : Immediate–20 Days Preferred

Role Overview :

We are looking for an experienced Senior Node.js Developer (SDE 2) professional with strong expertise in building scalable backend applications, microservices, and distributed systems in Agile environments.

Mandatory Keywords :

Node.js, JavaScript, TypeScript, GraphQL, Microservices, Cloud, REST APIs, Docker, Kubernetes, Redis, System Design.

Key Responsibilities :

• Design, develop, and deploy scalable backend systems using Node.js & TypeScript.

• Build REST APIs and GraphQL services.

• Develop secure, reusable, and high-performance applications.

• Work on microservices, cloud platforms, and production support.

• Follow best practices including TDD, testing, and DevOps processes.

• Mentor team members and contribute to technical excellence.

Mandatory Skills :

• 5+ years of software development experience.

• Strong hands-on experience in Node.js, JavaScript, TypeScript.

• Experience with Express.js/Koa/Sails.js.

• GraphQL, REST APIs, Microservices

• AWS/Azure/GCP Cloud

• Docker, Kubernetes, Redis

• Strong understanding of distributed systems, Git, and DevOps.

Good to Have :

Kafka, RabbitMQ, Apollo Federation, New Relic, Datadog, Splunk, React.js/Next.js, Jest/Mocha/Cucumber

Interview Process :

• L1 – Technical
• L2 – Coding
• L3 – System Design (HLD + LLD)

Dear Candidates,

We have an urgent requirement for the role of Assistant Manager – Angular Developer. Please find the details below:

Experience (YOE): 5–8 Years

Location: Bengaluru / Delhi / Hyderabad (Bengaluru – Ecospace preferred)

Joining: Immediate joiners preferred

Job Description:

• Strong experience in front-end development with a focus on Angular (latest version).
• Develop scalable, high-performance web applications.
• Design, code, debug, test, and optimize user-facing features.
• Ensure responsiveness, cross-browser compatibility, and application security.
• Collaborate with backend teams, UI/UX designers, and stakeholders.
• Perform unit and integration testing; troubleshoot and resolve issues.
• Follow coding standards and Agile methodologies.

Technical Skills Required:

• Angular (19+), JavaScript, TypeScript, HTML5, CSS3
• RxJS, NgRx (or other state management tools)
• REST API integration
• Git, JIRA, Confluence
• CI/CD tools (Jenkins, Docker, Azure DevOps)
• Good understanding of performance optimization and security practices

Nice to Have:

• Exposure to Node.js and backend integration
• Experience with microservices architecture

Qualification:

• Bachelor’s or Master’s degree in Computer Science or related field