50+ AWS (Amazon Web Services) Jobs in India

Senior DevOps Engineer

AWS Infrastructure, Kubernetes & Production Operations

📍 Mumbai (On-site) | Full-time | 5-8 years

About the Role:

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

We are hiring a Senior DevOps Engineer for a dedicated client engagement building an AI platform that turns a written prompt into a working, deployed web application.

The platform runs entirely on our own Kubernetes on AWS in Mumbai: multiple clusters, self-hosted Kafka, PostgreSQL, Redis and a complete observability stack, with untrusted AI-generated code executing inside isolated sandboxes.

This role owns that infrastructure end to end.

The mandatory requirement is hands-on production ownership of self-managed Kubernetes and self-hosted stateful services.

This is not a managed-services role: almost nothing here is a click in a console, and there is no platform team above you to escalate to.

You will pair daily with the Tech Architect who owns the architecture, and you own its execution, which covers clusters, networking, pipelines, observability, isolation, and the monthly cloud bill as a number you can explain line by line.

The role carries a deliberate path into LLM infrastructure over the first year, and we are saying so up front because we want someone who wants that direction.

A typical week includes rehearsing a cluster upgrade in a lower environment, tracing an unexplained cost line to its source, tuning autoscaling so non-production shuts down cleanly overnight, and hardening the boundary that keeps AI-generated code away from everything else.

Responsibilities:

Kubernetes Platform Ownership

Own multiple EKS clusters separated by trust boundary, covering platform services, messaging, sandboxed build environments, and hosting for customers' published applications.

Node pools, taints and tolerations, resource requests versus limits, pod disruption budgets, and the scheduling decisions that determine whether a cluster is efficient or merely large.

Plan and execute version upgrades without customer-visible downtime.

Infrastructure as Code

Everything in Terraform, with no console changes that are not in code.

Build reusable cluster modules rather than copies.

Keep state and reality in sync, and treat drift as a defect.

CI/CD and Release Engineering

Own the GitHub Actions pipelines and self-hosted runners: OIDC-based AWS authentication with no stored credentials, image builds, and rollouts across development, QA and UAT.

Move manifest templating from scripted substitution to Kustomize or Helm.

Make a rollback as routine as a deploy.

Network Architecture and Workload Isolation

VPC and subnet design, ingress through load balancers and service mesh, and eBPF-based network policy.

The platform runs code we did not write, so the isolation boundary is a primary deliverable: default-deny egress, kernel-level sandboxing for untrusted workloads, no platform credentials inside tenant pods, and one project per pod with nothing shared between customers.

Observability

Operate a self-hosted stack of Prometheus, Grafana, Loki, Tempo, OpenTelemetry and Alertmanager.

Build alerts engineers trust rather than mute.

Know what belongs in a metric, a log and a trace, and keep metric cardinality under control as tenant count grows.

Autoscaling and Capacity

Node autoscaling with Karpenter, and workload autoscaling on the signal that actually matters, which is queue depth or a schedule rather than CPU wherever CPU misleads.

Implement scale-to-zero across non-production and warm-pool patterns where cold starts are unacceptable.

Size capacity from measurement, not assumption.

Cost Operations

Own the cloud bill as an engineering artifact.

Attribute spend per cluster and per environment, right-size against real utilisation, apply Spot where interruption is safe and never where it is not, and investigate any line you cannot explain.

Instance family selection is a cost decision: match the family to the resource that binds first.

Self-Hosted Stateful Services

Operate Kafka, PostgreSQL and Redis in-cluster, covering persistence, replication, failover, upgrades, and backups you have actually restored from.

Rehearse the restore and record how long it took.

Security Posture

IAM and workload identity, migration away from static credentials, secret management, web application firewall rules, and closing the gaps you find.

Credential rotation and least privilege are ongoing work, not a one-time project.

AI Infrastructure (Growth Path)

Within the first year, take on the infrastructure serving AI workloads: multi-provider LLM gateway and routing, token and cost attribution, rate-limit-aware capacity planning, LLM tracing with Langfuse, vector databases such as pgvector and Qdrant, and self-hosted embedding models including GPU nodes on Kubernetes.

This is inference operations, not model training.

AI-Assisted Engineering Discipline

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

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

Requirements:

Hands-on Production Ownership of Self-Managed Kubernetes (Mandatory)

Must have personally operated a production Kubernetes estate with operational responsibility including oncall, incident response, and upgrade ownership.

You understand why a cluster ends up over-provisioned and how to fix it.

Managed-platform-only experience, or Kubernetes limited to deploying into a cluster someone else runs, does not qualify.

5+ Years of Overall Engineering Experience

With at least 3 years in DevOps, SRE, or platform engineering.

This is not an ML science role.

A strong infrastructure background with genuine appetite for AI infrastructure is exactly the profile we want.

Proven Ability to Learn an Unfamiliar Technology to Production Depth

We are hiring for trajectory as much as for current tooling, so this carries real weight.

Be ready to walk us through something you picked up from scratch and then owned in production: what you got wrong in the first attempt, how you found out, and what you would do differently.

A candidate with a shorter tool list and a strong record of learning will be preferred over a longer list learned only at the surface.

Self-Hosted Stateful Services in Production

One or more of Kafka, PostgreSQL, Redis, or Elasticsearch operated by you, not by a managed service.

Backups, restores, failover, and version upgrades.

This matters more than any other line here, because almost everything we run, we run ourselves.

Infrastructure as Code Depth

Terraform in anger, including modules, state management, and recovering from drift.

Docker and image optimisation.

AWS at Depth

EKS, EC2, VPC, IAM, S3, RDS or Aurora, and load balancing.

You can read a bill and explain where the money went.

Networking Depth

VPC and subnet design, NAT and egress paths, load balancer behaviour, DNS, TLS, and Kubernetes networking.

Able to reason about address exhaustion and routing limits before they are hit rather than after.

Observability Depth

Production experience with Prometheus, Grafana, and a log or trace backend.

Comfortable instrumenting with OpenTelemetry.

Able to define alerts that are actionable and to resist the cardinality that makes a metrics system collapse.

CI/CD and Deployment Automation

Strong with GitHub Actions or GitLab CI, including self-hosted runners and short-lived cloud credentials.

Experience making deploys and rollbacks safe and routine.

Cost Management for Cloud Infrastructure

Demonstrated ownership of a cloud bill: right-sizing, reserved capacity or savings plans, Spot strategy, and tracing an anomaly to its cause.

Reliability Engineering

Comfortable defining SLOs and being accountable for them.

Experience with graceful shutdown, connection draining, disruption budgets, and long-lived connections such as WebSockets that autoscaling can otherwise sever.

Nice to Have:

• arm64 and Graviton estates
• eBPF networking with Cilium
• container runtime isolation such as gVisor, Kata, or Firecracker
• Kafka operations including partition and consumer-group management
• service mesh with Istio
• GPU workloads on Kubernetes
• hands-on familiarity with LLM observability tooling such as Langfuse or LangSmith
• India data-protection and residency requirements under the DPDP Act
• AWS certifications

Role Description We are seeking a highly skilled and experienced Full Stack Developer with a strong background in product engineering. The ideal candidate will have hands-on experience in Java Spring Boot, Kafka, PostgreSQL, and REST API development. You will be working in a collaborative, cross-cultural environment, contributing to the design, development, and deployment of scalable software products

Key Responsibilities

• Design, develop, test, and maintain high-quality software solutions across the full stack.
• Build and implement RESTful APIs to support frontend and backend services.
• Collaborate with cross-functional teams across different cultures and time zones.
• Work closely with product and engineering teams to understand requirements and deliver features.
• Ensure code quality, performance, and scalability.
• Participate in code reviews and knowledge-sharing activities.

Required Skills and Qualification

• 2– 4 years of experience as a Full Stack Developer.
• Proven experience in Java Spring Boot development.
• Proficiency in Kafka for real-time data streaming and messaging.
• Strong knowledge of PostgreSQL and database design.
• Experience in designing and implementing REST APIs.
• Background in product engineering and working on scalable software platforms.
• Excellent verbal and written communication skills.
• Experience working in multi-cultural and global team environments.

Nice to Have 

• Experience with frontend frameworks (e.g., React, Angular, Vue).
• Familiarity with CI/CD pipelines and DevOps practices.
• Cloud platform experience (AWS).

We’re seeking a highly skilled, execution-focused Senior Backend Engineer with a minimum of 5 years of experience to join our team. This role demands hands-on expertise in building and scaling distributed systems, strong proficiency in Java, and deep knowledge of cloud-native infrastructure. You will be expected to design robust backend services, optimize performance across storage and caching layers, and enable seamless integrations using modern messaging and CI/CD pipelines.

You’ll be working in a high-scale, high-impact environment where reliability, speed, and efficiency are paramount. If you enjoy solving complex engineering challenges and have a passion for distributed systems, this is the right role for you.

Responsibilities

• Design, develop, and maintain distributed backend systems at scale.
• Write high-performance, production-grade code in Java.
• Architect and optimize storage systems, ensuring efficient query performance and scalable data models.
• Implement caching strategies to reduce latency and improve system throughput.
• Build and manage services leveraging AWS cloud infrastructure.
• Develop resilient messaging pipelines using Kafka (or equivalent) for real-time data processing.
• Define and streamline CI/CD pipelines, ensuring rapid and reliable deployment cycles.
• Collaborate with product managers, frontend engineers, and DevOps to deliver end-to-end solutions.
• Monitor system performance, identify bottlenecks, and apply proactive fixes.
• Drive best practices in software engineering, testing, and code reviews.

Requirements

• 5+ years of experience in backend engineering, with deep hands-on coding experience.
• Strong proficiency in Java and familiarity with modern frameworks.
• Proven track record in building scalable distributed systems.
• Hands-on expertise with AWS services (e.g., EC2, S3, Lambda, DynamoDB, RDS).
• Solid understanding of messaging systems like Kafka, RabbitMQ, or similar.
• Strong grasp of query performance optimization and storage system design.
• Experience with caching solutions (Redis, Memcached, etc.).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
• Excellent problem-solving skills and ability to thrive in fast-paced environments.
• Strong communication and collaboration skills, with a proactive mindset.

Benefits

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

Full Stack Developer

Experience: 3 to 5 Years

Location: Hyderabad

Interview Mode: Face-to-Face (F2F)

Work Mode: Hybrid

Employment Type: Full-Time

Note: Immediate joiners or candidates with a notice period of up to 15 days are preferred. We are only considering candidates who can attend a face-to-face interview at our office.

Role Summary;

We are looking for a Full Stack Developer (React.js + Python + AWS + AI) to design, develop, and maintain scalable web applications and AI-powered solutions. The ideal candidate must have strong experience in React.js, Python, AWS, and AI development. Hands-on AI development experience is mandatory for this role.

Mandatory AI Skill Requirement - AI development experience is mandatory. Candidates without hands-on AI development experience will not be considered.

Candidates must have practical experience in one or more of the following:

• Building AI-powered applications.
• Working with Large Language Models (LLMs).
• Prompt Engineering.
• Retrieval-Augmented Generation (RAG).
• AI agent development using LangChain, LangGraph, or similar frameworks.
• Integrating AI models through APIs such as OpenAI, Anthropic, or Gemini.
• Developing AI-enabled workflows and intelligent business applications.

Note: Experience using AI coding assistants (ChatGPT, GitHub Copilot, Claude, Gemini, etc.) alone does not meet this requirement. Candidates must have actual AI application development experience.

Key Responsibilities

• Develop and maintain full-stack web applications.
• Build responsive frontend applications using React.js.
• Develop backend REST APIs using Python (FastAPI / Django / Flask).
• Design, develop, and integrate AI-powered features into applications.
• Develop and deploy applications on AWS cloud services.
• Work with relational databases (MySQL / PostgreSQL / SQL Server).
• Integrate frontend and backend components.
• Follow Agile/Scrum development processes.
• Write clean, maintainable, and production-ready code.
• Collaborate with cross-functional teams to deliver scalable and high-quality solutions.

Required Skills (Mandatory)

• 3 to 5 years of Full Stack development experience.
• Strong experience in React.js.
• Strong backend development experience in Python.
• Hands-on experience with AWS cloud services.
• Hands-on AI development experience (Mandatory).
• Experience with LLMs, Prompt Engineering, RAG, LangChain, LangGraph, or similar AI frameworks.
• REST API development experience.
• Strong SQL database experience.
• Git and Agile development workflow.
• Good understanding of software design principles and best practices.

Good to Have

• Docker
• CI/CD pipelines
• Microservices architecture
• Kubernetes
• Experience with vector databases and AI model integrations

Preferred Qualifications

• Bachelor's degree in Computer Science or a related field.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Passion for learning new technologies, especially AI, cloud technologies, and modern software development.

Location: Ahmedabad / WFO

Experience: 0–1 Year / Freshers

Internship: 6months ( leading to full-time employment )

About the Role

We are looking for a motivated DevOps Engineer Intern who is interested in Cloud, Automation, and Infrastructure. You will work with our engineering team on application deployments, cloud environments, CI/CD pipelines, and day-to-day DevOps activities.

What You'll Work On

• Work with Linux-based systems and perform basic troubleshooting.
• Use Git & GitHub for version control and team collaboration.
• Write basic Bash/Shell scripts to automate repetitive tasks.
• Work with Docker to build and run containerized applications.
• Assist with CI/CD pipelines and automated application deployments.
• Gain hands-on exposure to AWS, Azure, or GCP.
• Understand basic cloud networking, IAM, and security concepts.
• Troubleshoot deployment, application, and infrastructure issues.
• Maintain basic technical documentation and follow DevOps best practices.

Must-Have Skills

• Basic understanding of Linux.
• Hands-on knowledge of Git & GitHub.
• Basic Bash/Shell scripting.
• Understanding of Docker and containers.
• Basic understanding of at least one cloud platform (AWS/Azure/GCP).
• Understanding of CI/CD concepts.
• Basic networking concepts, including HTTP/HTTPS, DNS, ports, IP, and SSH.
• Good troubleshooting and problem-solving skills.
• Strong interest in DevOps, Cloud, and Automation.

Good to Have

• Hands-on experience with GitHub Actions.
• Basic knowledge of Terraform.
• Exposure to Kubernetes.
• Basic Python scripting.
• Personal DevOps/Cloud projects or a GitHub portfolio.
• AWS/Azure/GCP or DevOps certification.

Location - Bangalore

We are looking for a Staff Full stack Engineer with strong frontend expertise to help shape, scale, and continuously evolve our platform. In this role, you will take ownership of application architecture across the stack, drive frontend excellence, and influence engineering standards across multiple teams and products.

What You’ll Do -

• Define and evolve application architecture across frontend and backend systems, ensuring scalability, performance, and maintainability.

• Design and build modern, data-rich web applications to visualize and interact with complex industrial data.

• Take end-to-end ownership of critical features across the stack from discovery to release and observability.

• Drive frontend architecture, component design, performance optimization, and technical quality across teams.

• Contribute to backend services, APIs, and data integration layers where needed.

• Establish and promote best practices in design systems, code quality, testing, and CI/CD.

• Partner with Product, Design, Backend, and Platform teams to align on architecture and delivery.

• Mentor engineers and guide teams in adopting scalable patterns and modern engineering practices.

What You’ll Bring (Must-Have) -

• 10+ years of experience in software development with strong expertise in TypeScript and JavaScript.

• Deep hands-on expertise with a modern frontend framework (Angular preferred).

• Proven experience defining and scaling frontend architecture for complex, enterprise-grade applications.

• Strong experience with Node.js and backend service development (APIs, microservices).

• Solid understanding of API design, frontend-backend integration, and state management.

• Strong experience in Object-Oriented Design, system design, and service-oriented architecture.

• Hands-on experience with testing frameworks, observability, and CI/CD practices.

• Demonstrated ability to influence technical direction and drive engineering standards across teams.

Nice to Have -

• Experience with MEAN stack (Node.js, Express, MongoDB, Angular).

• Experience with microservices, event-driven architecture, or distributed systems.

• Experience with design systems, accessibility, and frontend performance optimization.

• Experience with 3D visualization libraries (e.g., WebGL, Three.js, Babylon.js).

• Experience with Docker, Kubernetes, and cloud platforms (Azure/AWS).

• Experience architecting or developing mobile applications (e.g., Flutter or similar frameworks).

• Exposure to data platforms, analytics systems, or GenAI/LLM-based applications.

As an AWS Platform Engineer – Security Specialist, you will be responsible for designing, building, and securing AWS platform infrastructure using Infrastructure as Code (IaC). You will implement cloud security controls, automate compliance, secure CI/CD pipelines, enable centralized monitoring, and collaborate with engineering teams to build highly secure cloud-native platforms.

Key Responsibilities

• Design, build, and secure AWS platform infrastructure using CloudFormation and Terraform.
• Implement and manage AWS security controls including IAM, KMS, Secrets Manager, and AWS Network Firewall.
• Build automated security guardrails and compliance checks using AWS Security Hub, AWS Config, and IAM Access Analyzer.
• Develop secure CI/CD pipelines with automated policy validation, vulnerability scanning, and artifact integrity checks.
• Implement centralized logging and monitoring using CloudWatch, GuardDuty, SIEM tools, and VPC Flow Logs.
• Collaborate with Application and DevOps teams to define secure architecture patterns, network segmentation, and Zero Trust controls.
• Conduct security assessments, risk reviews, and threat modeling for AWS workloads.
• Enforce tagging standards, data classification, and lifecycle policies across AWS resources.
• Support incident response, root cause analysis, remediation planning, and post-incident improvements.
• Prepare security documentation, runbooks, and platform security best practices.
• Integrate and manage security tools including SIEM, DLP, CASB, Cloud Proxy, and Isolation solutions.
• Provide guidance on AWS security, identity governance, and least-privilege access.
• Integrate AWS workloads with Security Operations Center (SOC) processes for real-time threat detection and incident response.

Must Have Skills

AWS Security

• 7+ years of experience in AWS Cloud Platform / Security Engineering.
• 3–5 years of hands-on experience in Cloud Security / Cybersecurity.
• Strong expertise in:
• AWS IAM
• AWS KMS
• AWS Security Hub
• Amazon GuardDuty
• AWS Config
• AWS WAF
• AWS Network Firewall
• Amazon VPC Security

Infrastructure as Code (IaC)

• CloudFormation
• Terraform
• AWS CDK

Cloud Security Fundamentals

• Zero Trust Architecture
• Least Privilege Access
• Encryption
• Data Protection
• Network Security

Automation & DevSecOps

• Python or Bash scripting
• Secure CI/CD pipelines
• Artifact scanning
• Secrets Management
• Pipeline hardening
• SIEM integration and centralized logging

Networking & Compliance

• Firewalls
• Proxies
• Network Segmentation
• DLP
• Isolation Solutions
• Compliance frameworks:
• GDPR
• HIPAA
• PCI DSS
• SOC 2

Data Protection

• Data Classification
• DLP Controls
• Encryption Strategy
• Secure Data Lifecycle Management

Soft Skills

• Strong analytical and troubleshooting skills
• Excellent communication and stakeholder management
• Cross-functional collaboration

Preferred Certification

• AWS Certified Security – Specialty

Good to Have Skills

• Multi-cloud security (AWS + Azure / GCP)
• ECS / EKS Container Security
• AWS Macie
• AWS Detective
• Advanced Data Governance
• Zero Trust implementations
• Azure AD / Okta SSO
• SOAR / Playbook Automation
• Splunk, Sumo Logic, Datadog
• Additional security certifications (CISSP, CISM, CCSP)
• SOC Operations (Tier 1/2/3)
• Security Incident Management
• Threat Intelligence
• Playbook Automation
• Incident Investigation, Containment, Recovery & Post-Incident Reviews

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.

The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.

Must Have Primary Skills

Data Engineering

• 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
• Strong experience designing scalable batch and streaming data pipelines on AWS.
• Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
• Strong understanding of data quality, troubleshooting, debugging, and production support.

DBT & Data Warehousing

• Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
• Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.

Programming & Querying

• Strong expertise in:
• SQL (Analytical Queries, Window Functions, Stored Procedures)
• Python
• Spark / PySpark
• Strong experience in Spark/PySpark performance tuning and optimization.

Lakehouse & Apache Iceberg

• Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
• Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
• Strong understanding of:
• Data Modeling
• Partitioning
• File Formats
• Lakehouse / Data Lake Architectures

AWS Cloud Services

Hands-on experience with AWS services including:

• AWS Glue
• Amazon MWAA
• Amazon EMR
• Amazon Redshift
• Amazon S3
• Amazon Athena
• AWS Glue Catalog
• Amazon Aurora PostgreSQL
• AWS Lambda
• Amazon EC2
• Amazon DynamoDB
• Amazon API Gateway
• Amazon CloudWatch
• Amazon SQS
• Amazon SNS
• Amazon EventBridge
• AWS Secrets Manager
• AWS IAM

Development Practices

• Experience with CI/CD.
• Strong knowledge of Git.
• Familiarity with Data Engineering best practices.

Soft Skills

• Strong communication skills.
• Excellent problem-solving ability.
• Stakeholder management experience.

Preferred Certification

• AWS Data Engineer Associate or equivalent AWS Certification.

Good to Have Skills

• AWS Step Functions
• Terraform / Infrastructure as Code (IaC)
• Kafka
• Hive
• HDFS
• Other Big Data technologies
• Experience using GenAI-assisted development tools such as:
• GitHub Copilot
• Cursor
• Kiro
• Similar AI coding assistants
• ClickHouse Database
• Telecom / Mobile Network domain knowledge
• AtScale design and development
• Docker
• Kubernetes 

Location: Hyderabad, India. Based at the KnackLabs headquarters, with occasional travel to client locations for workshops and reviews. This role does not involve extended onsite deployments.

About the Role

You will work as an AI Architect who designs the systems behind our client engagements: AI agents, RAG systems, automation platforms, and the conventional backend systems around them.

This is a hands-on design role, not a slideware role. You will scope architectures with clients, make the hard technical decisions, defend them in review, and stay accountable for how the systems perform in production.

You will work directly with clients. Everyone at KnackLabs does. You will sit in design discussions with client engineering teams, present architecture decisions to technical and business stakeholders, and answer for the choices you make.

A full KnackLabs engineering team in Hyderabad builds with you. You own the technical design and the quality of what ships.

What you'll own

1. Architecture - Design AI agents, RAG systems, integrations, and the scalable backend systems around them, for multiple client engagements.
2. Technical scoping - Work directly with clients to turn a business problem into a system design, with clear trade-offs and clear reasons.
3. Scale and reliability - Make sure what we build handles real load: data stores, queues, caching, horizontal scaling, and fault tolerance.
4. Design reviews - Review designs and builds across engagements. Set the technical bar and hold it.
5. Evaluation strategy - Define how we measure accuracy, safety, latency, and cost for the AI systems we ship.
6. Guiding engineers - Raise the level of the engineers building with you, through reviews and direct pairing.
7. Feedback to the platform - Feed what you learn across engagements back into our platform and internal tools.

What we are looking for

1. Around 7 or more years of software engineering experience, including direct work with customers on design or delivery.
2. Full-stack development experience with strength in backend technologies.
3. Experience designing and building scalable applications. You understand how large-scale distributed systems work: data partitioning, queues, caching, horizontal scaling, and fault tolerance.
4. At least 2 years of strong, hands-on AI experience with large language models in production.
5. You build with AI coding tools like Claude Code or Codex as your default way of working. You understand Claude Skills, have written skills yourself, use them actively, and have contributed to them.
6. Hands-on experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
7. Hands-on experience building AI agents.
8. Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
9. Experience with at least one cloud platform (AWS, Azure, or GCP).
10. Clear communication. You can explain an architecture decision to an engineer and to a business leader, and defend it under questioning.
11. High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a design.

Nice to have

1. Experience building evaluations to measure accuracy, safety, latency, and cost.
2. Experience with observability and tracing tools such as LangSmith or Braintrust.
3. Experience with on-premises or private cloud (VPC) deployments.
4. Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
5. Experience with data engineering and pipelines.
6. A history of side projects, open source contributions, or products you shipped end-to-end.
7. Experience working at a consulting or professional services firm in a client-facing delivery role.

Stack and tools

1. Languages: Python and TypeScript.
2. Models: Claude and other frontier or open-source models, chosen to fit the customer.
3. AI patterns: RAG, agents, prompt engineering, skills, and evaluations.
4. Vector and retrieval: vector databases and retrieval pipelines.
5. Cloud: AWS, Azure, or GCP, on public or private cloud.
6. Integration: REST APIs and enterprise system connectors.

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions and high-performance digital infrastructure. Operating at the intersection of cloud engineering and enterprise software, the company empowers businesses to streamline their operations through robust, automated, and secure platforms. With a culture rooted in technical excellence and collaborative problem-solving, Euphoric Thought Technologies supports a diverse range of clients in optimizing their digital footprint and accelerating their time-to-market.

Role Overview:

As a Senior DevOps Engineer, you will serve as a cornerstone of our engineering team in Bangalore, taking ownership of the end-to-end reliability and scalability of our cloud environments. You will work closely with software developers, product managers, and security teams to bridge the gap between code development and production deployment. Your daily efforts will directly influence the stability of our platforms, ensuring that our infrastructure is not only resilient but also highly automated to support rapid business growth and seamless user experiences.

Key Responsibilities:

- Architect and maintain highly available CI/CD pipelines to accelerate software delivery cycles and ensure consistent deployment quality across environments.

- Manage and scale containerized applications using Kubernetes and Docker to optimize resource utilization and application performance.

- Implement Infrastructure as Code (IaC) using Terraform to ensure environment consistency and enable rapid provisioning of cloud resources.

- Automate routine operational tasks and configuration management using Ansible and Python scripts to reduce manual overhead and human error.

- Monitor cloud infrastructure health and security posture within AWS to proactively identify and resolve bottlenecks or vulnerabilities.

- Collaborate with cross-functional teams to define and implement best practices for cloud-native development, ensuring high standards of security and operational excellence.

Required Skillset:

- Demonstrated expertise in managing large-scale cloud computing environments on AWS, with a deep understanding of cloud architecture and cost-optimization strategies.

- Proven ability to design and maintain complex CI/CD workflows using Jenkins, ensuring seamless integration and delivery for high-traffic applications.

- Strong proficiency in scripting and automation using Python, with a focus on building reusable tools that enhance team productivity.

- Exceptional problem-solving skills and the ability to troubleshoot complex production issues in a high-pressure, fast-paced environment.

- Strong interpersonal skills with the ability to communicate technical concepts clearly to both engineering and non-technical stakeholders.

- Ability to work effectively in a hybrid work environment, demonstrating self-discipline and a proactive approach to team collaboration.

- A minimum of 7 - 8 years of professional experience in DevOps and infrastructure engineering roles.

Location: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible.

About the Role

You will work as a senior AI consultant who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it.

You will not hand over a document and walk away. You will show working software early, own the roadmap, own the client relationship, and stay after go-live to run and improve the system.

Four behaviors define this role:

1. Go where the work happens. You work onsite with the customer, in the room where decisions are made.
2. Show working software early. You build a prototype in days, not a document in weeks.
3. One person owns the outcome. You are the single point of accountability for the result.
4. Stay after go-live. You keep running and improving the system after launch.

You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you.

This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.

What you'll own

1. Discovery - Learn how the customer makes money. Find the highest value problem to solve first.
2. The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
3. The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
4. The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
5. The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
6. Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
7. Feedback to the product - Share what you learn in the field so our platform and internal tools get better.

What we are looking for

1. Around 7 or more years of software engineering experience, including customer-facing or client delivery work.
2. Experience working at a consulting or professional services firm in a client-facing delivery role.
3. A full-stack development experience with strength in backend technologies.
4. Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
5. Production experience with large language models, including prompt engineering and agent development.
6. You build with AI coding tools like Claude Code as your default way of working. You have built real apps and agents this way, not just used it for document generation or review.
7. Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
8. Experience building and deploying AI systems.
9. Experience integrating with APIs and enterprise systems.
10. Experience with at least one cloud platform (AWS, Azure, or GCP).
11. Experience building evaluations to measure accuracy, safety, latency, and cost.
12. Clear communication. You can explain a technical choice to an engineer and to a business leader.
13. High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.
14. Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.

Nice to have

1. Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
2. Experience with on-premises or private cloud (VPC) deployments.
3. Experience with observability and tracing tools such as LangSmith or Braintrust.
4. Experience with data engineering and pipelines.
5. A history of side projects, open source contributions, or products you shipped end-to-end.
6. Experience in embedded or forward-deployed roles before.

Stack and tools

1. Languages: Python and TypeScript.
2. Models: Claude and other frontier or open source models, chosen to fit the customer.
3. AI patterns: RAG, agents, prompt engineering, and evaluations.
4. Vector and retrieval: vector databases and retrieval pipelines.
5. Cloud: AWS, Azure, or GCP, on public or private cloud.
6. Integration: REST APIs and enterprise system connectors.

Experience: 4–6 Years

Domain: Automotive IoT | Connected Vehicles | Firmware & OTA

Core Stack: Rust | AWS | IoT Core | Apache Kafka | MemoryDB

Key Responsibilities  

OTA & Firmware Lifecycle  

• Co-own OTA firmware rollout operations across multi-ECU connected vehicle architectures.
• Design automated mechanisms to detect update failures, network interruptions, verification errors, and stalled deployments.
• Implement deterministic retry, recovery, and rollback mechanisms to ensure reliable firmware updates without vehicle bricking.
• Ensure firmware package integrity, signature validation, and data security throughout the OTA pipeline.

Data Engineering & Telemetry  

• Design and maintain real-time streaming pipelines for vehicle telemetry, heartbeats, OTA campaign status, and ECU state changes.
• Build high-throughput data services and workers using Rust for payload routing, processing, and verification.
• Use Apache Kafka and AWS IoT Core for real-time data ingestion and event streaming.
• Leverage AWS MemoryDB for Redis for low-latency fleet state, campaign progression, and session management.
• Build resilient pipelines capable of handling intermittent connectivity, noisy networks, and out-of-order data.

Monitoring & Analytics  

• Build real-time dashboards for fleet health, firmware versions, OTA campaigns, and update progress.
• Define and monitor key OTA metrics including success/failure rates, retry rates, failure categories, and completion time.
• Implement automated alerting and anomaly detection for unexpected failure spikes during staged or canary rollouts.
• Analyze logs, traces, and telemetry data to identify campaign bottlenecks, telemetry loss, and hardware-related failures.

Required Skills  

Mandatory  

• 4–6 years of experience in Data Engineering, Software Engineering, or IoT Backend Engineering.
• Strong hands-on experience with Rust for backend/data processing applications.
• Experience with AWS, particularly IoT Core, S3, ECS/EKS, and Lambda.
• Strong experience with Apache Kafka and real-time data pipelines.
• Hands-on experience with AWS MemoryDB for Redis or Redis Enterprise.
• Working knowledge of Python and SQL.
• Experience with MQTT, WebSockets, and HTTP/S protocols.
• Strong understanding of distributed systems, streaming data, and resilient data pipelines.

Preferred  

• Experience with firmware lifecycle management and OTA systems.
• Exposure to connected vehicles, automotive IoT, telemetry platforms, or connected hardware fleets.
• Experience with device shadows and fleet/device state management.
• Experience building telemetry dashboards using Power BI, Apache Superset, or custom dashboards.
• Experience with staged/canary deployments and automated failure recovery.

Primary Technology Stack  

• Languages: Rust, Python, SQL
• Cloud: AWS, IoT Core, S3, ECS/EKS, Lambda
• Streaming: Apache Kafka
• Caching & State: AWS MemoryDB for Redis, Redis
• IoT Protocols: MQTT, WebSockets, HTTP/S
• Analytics & Visualization: Power BI, Apache Superset
• Domain: Automotive IoT, Vehicle Telemetry, OTA, Firmware Management

We are looking for an experienced Application Developer to design, develop, enhance, and maintain cloud-native applications on AWS. The ideal candidate should have strong experience in modern frontend development using Next.js/Express.js and TypeScript, backend development using Python, and serverless application development on AWS.

The role involves:

• Developing and maintaining frontend applications using Next.js, React, and TypeScript.
• Developing backend services using Python and serverless AWS technologies.
• Designing and implementing AWS Lambda functions.
• Developing workflows using AWS Step Functions.
• Designing and maintaining Amazon AppSync GraphQL schemas and resolvers.
• Implementing multi-tenancy across application services.
• Building reusable, scalable, and responsive frontend components.
• Integrating frontend applications with backend APIs and cloud services.
• Participating in architecture discussions and technical design reviews.
• Debugging production issues and optimizing performance.
• Collaborating with architects, DevOps, data engineering, QA, and business teams.
• Following coding standards, cloud-native best practices, and contributing to documentation and code reviews.

Must Have Skills:

Frontend Development

• Strong JavaScript / TypeScript experience
• Hands-on experience with Next.js / Express.js
• Strong React.js proficiency
• Experience with Redux (or equivalent state management libraries)
• Good knowledge of HTML5, CSS3, and Material UI
• Experience building reusable and responsive frontend components

Backend Development

• Strong Python development experience
• Experience with Python frameworks:
• FastAPI
• Flask
• Experience building RESTful APIs and backend services

AWS & Cloud Development:

Hands-on experience with serverless AWS services including:

• AWS Lambda
• AWS DynamoDB
• AWS Step Functions
• Amazon API Gateway
• Amazon AppSync
• Amazon SQS
• Amazon SNS
• Amazon S3
• Amazon Aurora PostgreSQL
• AWS Glue (Python Shell)
• Amazon Cognito
• Amazon CloudFront

Additionally:

• Experience deploying and maintaining cloud-native applications on AWS

Collaboration

Ability to work effectively with:

• Solution Architects
• DevOps Engineers
• Data Engineers
• QA Teams
• Product Owners
• Clients and Business Stakeholders

Other Qualifications

• Experience with AWS CDK
• Exposure to microservices architecture
• Knowledge of caching, queuing, and application performance optimization
• Exposure to AWS Well-Architected Framework and application security best practices
• Experience working on data-intensive applications
• Experience in effort estimation, documentation, and sprint planning
• Experience building highly scalable and high-performance cloud applications.

Key Responsibilities

• Implement enhancements and features for business users to support audit data corrections through the web application.
• Develop new features across web applications and internal systems, including frontend enhancements, forms, and dynamic content.
• Manage databases to ensure data integrity and validation.
• Maintain database schemas and data linkages across systems.
• Perform unit testing of implemented solutions.
• Execute UI enhancements and navigation updates.
• Maintain existing code, contribute to documentation, and collaborate with cross-functional teams. 

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

Python

Pyspark

SQL

ETL Aws, Azure, gcp

About the Role

SwitchKart is on a mission to make technology more accessible and more sustainable — we're in the business of recommerce, giving old smartphones a second life, cutting down e-waste, and extending the lifecycle of every device we touch.

We're looking for a Senior Full Stack Developer to help us build and scale the ecosystem of platforms powering this mission — from our procurement app to our retailer app, pricing engines, and warranty systems. You'll take ownership of complex features end-to-end, mentor junior engineers, and make architectural decisions that shape how we grow.

What You'll Do

• Own Features End-to-End: Design, build, and ship full stack features across our procurement, retailer, pricing, and warranty platforms — from database schema to UI polish.

• Drive Architecture: Make key technical decisions on system design, scalability, and code structure as our ecosystem of apps grows.

• Build AI-First: Design and build systems with AI at the core — not bolted on. Think about where AI can automate, assist, or enhance the products you're building from day one.

• Build Scalable Architecture: Build and monitor a highly performant, failure-resistant platform — we take pride in doing this with a small, high-ownership team.

• Automate and Integrate: Develop tools that automate our integration processes and build data pipelines across our app ecosystem.

• Foster Technical Excellence: Champion unit and integration testing and lead meaningful code reviews across the team.

• Prototype and Validate: Create interactive prototypes to prove out technical concepts and participate in pilots for new initiatives.

• Mentor the Team: Guide junior developers through code reviews, pairing, and technical direction.

• Report Upward: Provide regular updates to management on milestones, risks, issues, and mitigation plans.

• Collaborate Cross-Functionally: Work closely with product and design to translate requirements into robust technical solutions across multiple products.

What We're Looking For

Must Have

• 4+ years of full stack development experience

• Strong proficiency in React and Node.js

• Solid experience with PostgreSQL or MySQL — schema design, query optimisation

• Experience designing and scaling production systems

• Experience deploying and managing applications on a cloud platform (AWS/GCP or similar)

• Comfortable owning a feature from concept to deployment

• Strong debugging and problem-solving skills

Good to Have

• Experience mentoring or leading junior engineers

• Track record of driving scalability and time-to-market in past cloud architecture decisions

• Exposure to CI/CD pipelines

• Experience with Docker, NoSQL databases, or distributed caching

• Experience integrating third-party REST/SOAP APIs

• Experience in a fast-moving startup environment

Why SwitchKart

• Real ownership over architecture and technical direction.

• Access to the latest AI coding agents and tools — we invest in keeping our engineers on the cutting edge.

• Work on a genuinely differentiated business with measurable impact.

• Be part of a lean team where your decisions shape the product.

• Opportunity to mentor and grow the engineering team.

About AuxoAI:

AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

* Implement data governance and security best practices to ensure compliance and data integrity.

* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

* Strong programming skills in languages such as Python, Java, or Scala.

* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Key Responsibilities

Build and maintain data transformation pipelines using java Spark

Develop and optimize large-scale/CPU intensive data processing using Apache Spark

Orchestrate workflows using Airflow

Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage

Support schema evolution, backfills, and incremental processing

Ensure pipelines meet SLAs for freshness, reliability, and performance

Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

Strong hands-on experience with 

HBase

Apache Spark

Experience with HBase or similar lakehouse query engines

Airflow 

Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)

Proficiency in Java

Experience with Git-based development and CI/CD

Nice-to-Have Skills

OpenTable format/Iceberg ,Apache Arrow

CDC-based analytics pipelines

Cloud platforms (AWS)

Kubernetes-based data platforms

Design, build, and maintain end-to-end data pipelines to ingest, process, and transform data from files, streams,

APIs, and relational/non-relational databases into Snowflake.   Develop and optimize ELT/ETL pipelines using Snowflake SQL,

Snowpipe, Streams & Tasks, and cloud-native orchestration tools.   Implement scalable data models and schemas (staging, curated, and consumption layers) to support analytics and reporting use cases.   Develop transformations and business logic using SQL and Python, including Snowflake UDFs and stored procedures.   Optimize Snowflake performance and cost through query tuning, warehouse sizing, clustering, and resource management.   Integrate Snowflake with cloud storage and services across AWS and Azure (e.g., object storage, data integration, and mess

Hiring for Prinipal / Lead Data Architect

Exp : 12 - 16 yrs

Work Location : Bengaluru

Shift Timings : UK

Mode of Interview : F2F

Skills :

Databricks, Python, Scala, SQL, Snowflake, Structured Streaming, Apache Kafka, Flink/AWS.

10+ years of progressive experience in Data Engineering, Data Warehousing, and Data Architecture.

About the Role

We are looking for a hands-on Principal Engineer who owns enterprise integration architecture from end to end — from the first whiteboard sketch through production delivery and ongoing governance. This is not a management role, and it is not a specialist role. We are not looking for an Angular architect, a Java architect with cloud exposure. We need a true Full Stack Integration Architect who has designed, built, and governed how large-scale enterprise systems connect, communicate, and operate reliably at scale.

You will be expected to go deep on integration design, backend engineering, data architecture, cloud infrastructure, and front-end development — and to defend every decision under rigorous technical scrutiny. If your experience is anchored in one layer or one language, this is not the right opportunity.

What You Will Own

• End-to-end integration architecture across cloud platforms (AWS, Azure, GCP), on-premises systems, and third-party services — designed, delivered, and governed by you
• Definition and enforcement of integration patterns across the enterprise: API-first, microservices, event-driven, and real-time and batch processing
• Seamless data flow, application interoperability, and fault tolerance across mission-critical platforms
• Quality and testing strategy across integrated solutions — automation frameworks, release readiness, validation, and quality governance
• Full-stack engineering across all layers: front-end, backend services, data, and cloud infrastructure
• GenAI and LLM integration into production-grade digital platforms
• Technical mentorship across engineering levels and cross-team architectural influence
• Clear communication of complex architectural decisions to both engineering teams and business stakeholders

What You Must Have

• 15+ years of hands-on software engineering experience with a strong track record in enterprise-scale distributed systems
• Proven end-to-end integration architecture experience — you have designed, governed, and delivered enterprise integrations across complex, heterogeneous environments; not just implemented someone else's design
• Genuine full-stack depth across all layers:
• Front-end: Angular, TypeScript
• Backend: Java, Python, Go, or Node.js — at least one deeply, others functionally
• Data: SQL, NoSQL, caching (Redis), event streaming platforms
• Strong database knowledge in both theory and practice — relational, NoSQL, distributed data, and streaming
• Cloud-native hands-on experience across at least one of AWS, Azure, or GCP — Kubernetes, Docker, and Infrastructure as Code (Terraform) are expected
• CI/CD pipeline experience tied to enterprise release cycles and quality governance
• The ability to clearly articulate the technical design, tradeoffs, and problem-solving approach behind your own recent work — this will be probed in depth during interviews

Integration & API Technologies

You should have hands-on experience across several of the following:

REST · GraphQL (Apollo Federation or similar) · gRPC · Kafka or equivalent event streaming · Microservices architecture · Event-driven architecture · B2B and internal system integrations · Real-time and batch integration patterns

What Will Strengthen Your Profile

• GCP-native database experience: BigQuery, Spanner, Bigtable
• Production-grade GenAI or LLM integration — not just prototypes or proof of concepts
• Experience with AI development tools: Cursor, GitHub Copilot, Vertex AI Studio, Claude Code
• Healthcare or regulated-industry platform experience
• MLOps or AI lifecycle management
• Identity, security, and privacy architecture at enterprise scale
• Observability tooling: Datadog, Prometheus, Grafana

Do Not Apply If

• You are primarily an Angular Architect, a Java architect, or strong in one layer only — this role demands genuine end-to-end depth across the full stack
• You cannot walk through the architecture, implementation decisions, and tradeoffs of your own recent projects with technical precision
• You have not designed or governed integrations at enterprise scale across distributed, heterogeneous systems
• Your backend, database, or integration experience is surface-level, theoretical, or limited to a single technology

Why This Role

This role carries real architectural authority at a large enterprise. You will set integration direction across business-critical platforms, influence engineering standards, and solve problems that matter at significant scale. The technical bar is deliberately high — because the impact is real.

Job Title: Site Reliability Engineer (SRE) – AI & Cloud Infrastructure

Location: Pune (Work From Office)

Experience: 5–8 Years

Employment Type: Full-Time

About the Role

We are looking for an experienced Site Reliability Engineer (SRE) to build and scale AI-powered reliability capabilities from the ground up. In this role, you will drive modern observability, automation, and cloud reliability initiatives while leveraging AI/ML for incident management, forecasting, and infrastructure optimization.

You will own the end-to-end reliability strategy across cloud-native AWS environments, enabling high availability, performance, and operational excellence through automation, intelligent monitoring, and proactive engineering.

Key Responsibilities

• Design, implement, and manage highly available, scalable, and secure cloud infrastructure on AWS.
• Build and maintain an end-to-end observability platform using Open Telemetry, Grafana, Datadog, CloudWatch, and related tools.
• Implement AIOps capabilities, including:
• LLM-assisted incident triage
• AI-powered root cause analysis
• ML-driven forecasting and anomaly detection
• Intelligent alert correlation and noise reduction
• Lead production incident management, on-call response, postmortems, and Root Cause Analysis (RCA).
• Automate operational workflows using Infrastructure as Code (Terraform/CloudFormation) and CI/CD pipelines.
• Drive infrastructure rightsizing, capacity planning, utilization analysis, and cloud cost optimization.
• Build dashboards, SLOs, SLIs, and error budgets to improve service reliability.
• Develop automation scripts using Python, Bash, or Go to eliminate manual operational tasks.
• Monitor application and infrastructure health while ensuring high uptime and service performance.
• Collaborate with Development, DevOps, Security, Platform Engineering, and Product teams across multiple time zones.
• Establish operational best practices for monitoring, incident response, disaster recovery, and resilience engineering.
• Maintain Linux-based production systems and troubleshoot OS, networking, storage, and performance issues.

Required Skills & Qualifications

• 5–8 years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure Engineering.
• Strong experience with AWS services including EC2, ECS/EKS, Lambda, VPC, IAM, CloudWatch, RDS, Route 53, S3, and Auto Scaling.
• Hands-on experience with Open Telemetry, Grafana, Datadog, Prometheus, or similar monitoring platforms.
• Strong knowledge of Linux administration, networking, system performance tuning, and troubleshooting.
• Experience with Infrastructure as Code using Terraform or CloudFormation.
• Proficiency in scripting using Python, Bash, or Go.
• Experience with Kubernetes and containerized workloads.
• Strong understanding of CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.).
• Experience leading incident management, production support, and RCA processes.
• Knowledge of SRE principles including SLIs, SLOs, and Error Budgets.
• Experience implementing monitoring, logging, alerting, and observability frameworks.
• Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications

• Experience building or implementing AIOps solutions.
• Exposure to Large Language Models (LLMs) for operational automation.
• Experience with machine learning-based forecasting or anomaly detection.
• Hands-on experience administering Adobe Experience Manager (AEM).
• Experience managing Cloudflare CDN, WAF, DNS, and caching strategies.
• Knowledge of FinOps, cloud cost optimization, and capacity planning.
• AWS Solutions Architect, DevOps Engineer, or Kubernetes certifications are a plus.

About us

EDMO is an AI-powered company that provides enrollment-centric solutions to universities,

colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching.

EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows

not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement.

With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and

enhanced student satisfaction.

At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric.

Website - https://goedmo.com/

Position Overview

We're seeking an exceptional Lead Software Engineer / Senior Tech Lead who can energize and guide a team of brilliant engineers while driving rapid, high-quality product development using AI and innovative technologies. The ideal candidate brings deep full-stack and backend

engineering expertise combined with strong leadership capability and a hands-on approach to architecture and delivery.

Key Responsibilities

• Lead and mentor a team of 5–8 senior engineers across AI, Salesforce, and full-stack development

• Drive technical strategy and architectural decisions — including backend, API design, and system design — for EDMO's product portfolio

• Own and evolve backend architecture using Node.js / NestJS and front-end solutions in React or Angular

• Define and implement telemetry, observability, and monitoring standards (logging,tracing, alerting) across services

• Foster a culture of innovation, continuous learning, and technical excellence

• Manage sprint planning, code reviews, and technical delivery timelines

• Collaborate closely with product management and design teams

• Guide technical hiring and team scaling decisions

• Ensure code quality, security, and performance standards

• Lead technical discussions with university clients and stakeholders

• Drive adoption of best practices, tools, and development methodologies

Required Qualifications

Experience & Leadership

• 8+ years of software development experience with 3+ years in technical leadership roles

• Must have: Proven track record of leading high-performing technical teams

• Must have: Experience energizing and motivating senior engineers to achieve exceptional results

• Experience with Agile/Scrum methodologies and DevOps practices

• Excellent communication skills with ability to translate technical concepts to non-technical stakeholders

• Experience with performance management, career development, and team building

• Strong problem-solving skills and ability to make decisions under pressure

Technical Stack — Must Have

• Node.js and NestJS — production-grade backend services, microservices, and API design

• TypeScript — Good Have

• React or Angular — front-end development and component architecture

• Backend and system architecture — designing scalable, maintainable, distributed

systems

• Telemetry & monitoring — hands-on experience with logging frameworks, distributed tracing (e.g. OpenTelemetry, Datadog, New Relic, or similar), and alerting pipelines

• Cloud platforms — GCP preferred; AWS or Azure acceptable

• Databases — PostgreSQL, MongoDB, or equivalent; Redis for caching/queuing

• CI/CD — GitHub Actions, Cloud Build, or equivalent pipelines

Additional Technical Background

• Strong background across multiple domains: AI/ML integration, web development, cloud- native architecture• Microservices patterns, API gateway design, event-driven architectures

Preferred Qualifications

• Experience in EdTech, SaaS, or B2B technology companies

• Background in AI/ML or emerging technologies

• Experience scaling engineering teams from startup to growth stage

• Knowledge of the Salesforce ecosystem and integrations

• GCP certifications or demonstrated GCP production experience (Cloud Run, Pub/Sub, BigQuery, GKE)

• Experience building and operating observability stacks (dashboards, SLOs, on-call runbooks)

• MBA or advanced degree in technology or business

• Track record of successful product launches and customer implementations

• Experience working with US-based clients and distributed teams

Leadership Philosophy We Seek

• Servant Leadership: Empowering team members to achieve their best work

• Technical Excellence: Setting high standards while maintaining development velocity

• Growth Mindset: Continuously learning and helping others grow

• Results-Oriented: Delivering measurable business outcomes through technology

• Cultural Builder: Creating an inclusive, innovative, and collaborative team environment

Growth Opportunities

• Path to VP of Engineering

• Opportunity to build and scale EDMO's India engineering organization

• Lead major strategic partnerships and technical initiatives

• Drive innovation in AI-powered educational technology

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable data-centric platforms and intelligent software solutions. Operating at the intersection of advanced analytics and web engineering, the company empowers enterprises to derive actionable insights from complex datasets. With a culture rooted in engineering excellence and collaborative problem-solving, Euphoric Thought Technologies maintains a lean, high-impact environment where developers have the autonomy to architect solutions that drive significant business value across global markets.

Role Overview:

As a Full Stack Developer, you will be responsible for bridging the gap between sophisticated data modeling and intuitive user interfaces. You will work closely with data scientists, product managers, and backend engineers to translate complex analytical requirements into robust, high-performance web applications. This role is pivotal in ensuring that our data products are not only technically sound but also highly accessible and responsive, directly influencing how our clients interact with and interpret their business intelligence.

Key Responsibilities:

- Architect and maintain end-to-end web applications by integrating Python-based backends with dynamic React.js frontends to ensure seamless data visualization and user interaction.

- Develop and optimize RESTful APIs using Django or Flask to facilitate efficient data exchange between the server and client-side applications.

- Integrate R-based analytical models into production environments to provide real-time statistical insights for end-users.

- Deploy and manage scalable infrastructure on AWS, ensuring high availability and performance for all hosted applications.

- Collaborate with cross-functional teams to troubleshoot system bottlenecks and implement performance improvements that enhance the overall user experience.

Required Skillset:

- Demonstrated expertise in building full-stack applications using Python and React.js, with a deep understanding of state management and component lifecycle.

- Strong proficiency in backend development using Django or Flask, including database schema design and API security best practices.

- Hands-on experience managing cloud infrastructure on AWS, specifically regarding deployment pipelines, serverless functions, and database management.

- Exceptional analytical and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

- A minimum of 5 to 8 years of professional experience in full-stack development, demonstrating a track record of delivering high-quality software in a fast-paced, collaborative environment.

- Ability to thrive in an on-site work environment in Bangalore, contributing to team-led design sessions and rapid development cycles.

Job Title: AWS Cloud Engineer (Terraform & Monitoring Tools)

Experience: 8–10 Years

Location: Bangalore / Hyderabad

Joining: Immediate Joiners Preferred - 20 day serving

Job Description:

We are looking for an experienced AWS Cloud Engineer with 8+ years of experience in cloud infrastructure, automation, and monitoring. The ideal candidate should have strong expertise in AWS, Terraform, and at least one monitoring/observability tool such as Splunk, AppDynamics, or Grafana.

Required Skills:

• 8–10 years of IT experience with strong AWS cloud expertise
• Hands-on experience with Terraform for Infrastructure as Code (IaC)
• Experience with Splunk, AppDynamics, or Grafana (any one mandatory)
• Knowledge of cloud monitoring, logging, and performance optimization
• Experience with CI/CD pipelines and cloud infrastructure automation
• Strong troubleshooting, analytical, and communication skills

Job Description for PostgreSQL Lead

Job Title: PostgreSQL Lead

Company: Mydbops

About us:

Mydbops helps fast-growing teams and unicorns run mission-critical databases with speed, scale, and reliability. Trusted by 800+ clients, including 30+ unicorns, we optimize and manage systems like MySQL, PostgreSQL, MongoDB, MariaDB, TiDB, and Cassandra, powering 10B+ transactions daily across industries such as fintech, SaaS, healthcare, logistics, and e-commerce.

With 10 years of deep expertise, we build automation tools, lead complex migrations, and solve high-impact performance and database challenges. We are ISO and PCI-DSS certified, combining engineering excellence with enterprise-grade security and compliance.

Role Overview:

As the PostgreSQL Lead, you will own the design, implementation, and operational excellence of PostgreSQL environments. You’ll lead technical decision-making, mentor the team, interface with customers, and drive key initiatives covering performance tuning, HA architectures, migrations, and cloud deployments.

Key Responsibilities:

• Lead PostgreSQL production environments: architecture, stability, performance, and scalability
• Oversee complex troubleshooting, query optimization, and performance analysis
• Architect and maintain HA/DR systems (e.g., Streaming Replication, Patroni, repmgr)
• Define backup, recovery, replication, and failover protocols
• Guide DB migrations, patches, and upgrades across environments
• Collaborate with DevOps and cloud teams for infrastructure automation
• Use monitoring (pg_stat_statements, PMM, Nagios or any monitoring stack) to proactively resolve issues
• Provide technical mentorship—conduct peer reviews, upskill, and onboard junior DBAs
• Lead customer interactions: understand requirements, design solutions, and present proposals
• Drive process improvements and establish database best practices

Requirements:

• Experience: 4-5 years in PostgreSQL administration, with at least 2+ years in a leadership role
• Performance Optimization: Expert in query tuning, indexing strategies, partitioning, and execution plan analysis.
• Extension Management: Proficient with critical PostgreSQL extensions including:
• pg_stat_statements – query performance tracking
• pg_partman – partition maintenance
• pg_repack – online table reorganization
• uuid-ossp – UUID generation
• pg_cron – native job scheduling
• auto_explain – capturing costly queries
• Backup & Recovery: Deep experience with pgBackRest, Barman, and implementing Point-in-Time Recovery (PITR).
• High Availability & Clustering: Proven expertise in configuring and managing HA environments using Patroni, repmgr, and streaming replication.
• Cloud Platforms: Strong operational knowledge of AWS RDS and Aurora PostgreSQL, including parameter tuning, snapshot management, and performance insights.
• Scripting & Automation: Skilled in Linux system administration, with advanced scripting capabilities in Bash and Python.
• Monitoring & Observability: Familiar with pg_stat_statements, PMM, Nagios, and building custom dashboards using Grafana and Prometheus.
• Leadership & Collaboration: Strong problem-solving skills, effective communication with stakeholders, and experience leading database reliability and automation initiatives.

Preferred Qualifications:

• Bachelor’s/Master’s degree in CS, Engineering, or equivalent
• PostgreSQL certifications (e.g., EDB, AWS)
• Consulting/service delivery experience in managed services or support roles
• Experience in large-scale migrations and modernization projects
• Exposure to multi-cloud environments and DBaaS platforms

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work with a dynamic and innovative team.
• Professional growth and development opportunities.
• Collaborative and inclusive work environment.

Job Details:

• Work time: General shift
• Working days: 5 Days
• Mode of Employment - Work From Home
• Experience - 4-5 years

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Pune

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

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Description – .Net Full Stack Developer

Job Title: Senior .NET Full Stack Developer

Location: Pune (3–4 Days Work from Office)

Experience: 4–8 Years

Job Summary

We are looking for a skilled and motivated Senior .NET Full Stack Developer with 4–8 years of experience in designing, developing, and deploying scalable enterprise applications. The ideal candidate should have strong expertise in .NET Core, React, and Kubernetes, with exposure to AWS being an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable web applications using .NET Core (ASP.NET Core) and React.
• Build and consume RESTful APIs and microservices.
• Develop responsive and user-friendly front-end applications using React.
• Collaborate with business stakeholders, product owners, and technical teams to gather and translate requirements into technical solutions.
• Write clean, maintainable, and high-quality code following best practices.
• Participate in code reviews, design discussions, and technical planning.
• Deploy, manage, and troubleshoot applications running on Kubernetes.
• Work closely with DevOps teams to support CI/CD pipelines and release activities.
• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve production issues and provide ongoing application support.
• Contribute to technical documentation and knowledge-sharing initiatives.

Required Skills

• 4–8 years of software development experience.
• Strong hands-on experience with C# and .NET Core / ASP.NET Core.
• Strong experience in React.js development.
• Experience building REST APIs and Microservices.
• Hands-on experience with Kubernetes.
• Experience with SQL Server or other relational databases.
• Good understanding of Git version control and CI/CD practices.
• Strong problem-solving and debugging skills.
• Excellent communication and stakeholder management skills.

Good to Have

• Experience with AWS services such as EC2, EKS, S3, Lambda, CloudWatch, or IAM.
• Experience with Docker and containerized application deployment.
• Exposure to Agile/Scrum development methodologies.

Preferred Background

• Experience working in BFSI, FinTech, Credit Risk, Lending, or Enterprise Product Development environments.
• Ability to work independently and mentor junior developers.

Work Model: Hybrid (3–4 days from Pune office)

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer by detecting risks, threats and anomalies. Together with partners and customers, we embark on a data and AI led transformation journey that delivers impactful and measurable results.

Job Overview:

We are seeking a highly skilled DBA, AWS Database Migration & Data Engineering Consultant with strong Oracle/SQL Server expertise to lead the rehosting and modernization of enterprise databases into AWS. This role will primarily focus on Oracle/SQL Server database optimization, transaction retention, and seamless migration continuity, especially in environments leveraging services/tools like Oracle Exadata, Oracle Data Integrator (ODI), and similar tools.

The ideal candidate combines deep experience in Oracle/SQL Server database platforms, large-scale migration strategies, and modern AWS data engineering practices, ensuring minimal downtime, data integrity, and performance optimization during migration.

Key Responsibilities:

• Lead end-to-end SQL Server database migration from on-prem (including Exadata) to AWS platforms such as Amazon RDS, EC2, and Aurora PostgreSQL-compatible environments.
• Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers.
• Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration.
• Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable).
• Leverage AWS DMS and SCT for full load and continuous replication migrations.
• Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR).
• Design and implement secure, highly available database architectures on AWS.
• Build and optimize data pipelines using AWS Glue, PySpark, or EMR.
• Manage S3-based data lakes and metadata using Glue Data Catalog.
• Collaborate with application, infrastructure, and analytics teams for smooth migration and post-migration stabilization.
• Implement data validation, reconciliation, and rollback mechanisms.
• Ensure compliance with security, governance, and regulatory standards (GDPR, HIPAA, etc.).

Must Have:

• 7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL).
• Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora).
• Hands-on with AWS DMS and SCT for full load and CDC replication.
• Strong experience in database administration (HA, DR, backup/restore, schema conversion).
• Experience building pipelines using AWS Glue, PySpark, or Spark on EMR.
• Strong experience with S3-based data lakes and Glue Data Catalog.
• Strong SQL, Python/PySpark, and shell scripting.

Nice to Have:

• Experience with Aurora Global Database and cross-region replication.
• Familiarity with Oracle GoldenGate for real-time replication.
• Knowledge of Data Mesh architecture and cross-account data sharing in AWS.
• Experience with Redshift, Lake Formation, and modern data warehousing.
• Exposure to CI/CD pipelines for database and ETL deployments (CodePipeline, Jenkins).
• AWS Certifications (Solutions Architect Associate / Data Engineer Associate).
• Experience mentoring teams and driving knowledge transfer sessions.
• Experience with Infrastructure as Code (Terraform / CloudFormation).

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions that streamline complex business processes. Operating at the intersection of data engineering and cloud infrastructure, the company serves a diverse portfolio of clients across the fintech and enterprise SaaS sectors. With a culture rooted in technical excellence and agile problem-solving, Euphoric Thought Technologies empowers its engineers to own their modules from conception to deployment, fostering an environment where high-impact code is the primary driver of growth.

Role Overview:

As a Python Developer specializing in Flask, you will be responsible for architecting and maintaining robust backend services that power our core platforms. Must have hands on experience in React.js ,You will work closely with cross-functional teams, including product managers and frontend engineers, to translate business requirements into high-performance API endpoints. Your daily contributions will directly influence the scalability and reliability of our applications, ensuring that our users experience seamless performance even as our data volume and traffic continue to grow.

Key Responsibilities:

- Design and implement scalable RESTful APIs using the Flask framework to support high-traffic web applications.

- Optimize database queries and schema designs in SQL to ensure low-latency data retrieval for complex reporting modules.

- Deploy and manage backend services on AWS infrastructure, ensuring high availability and efficient resource utilization.

- Collaborate with the engineering team to conduct rigorous code reviews, maintaining high standards for code quality and maintainability.

- Troubleshoot and resolve production-level bottlenecks to improve the overall stability of the application ecosystem.

- Integrate third-party services and internal microservices to expand the functionality of our existing product suite.

Required Skillset:

- Demonstrated expertise in building production-grade applications using Python and the Flask framework with 5 years of professional experience.

- Strong proficiency in React.js.

- Hands-on experience with AWS cloud services, including EC2, RDS, and S3, for deploying and scaling backend infrastructure.

- Ability to communicate technical concepts clearly to non-technical stakeholders and work effectively in a collaborative, team-oriented environment.

- Strong analytical mindset with the ability to debug complex issues and provide long-term architectural solutions.

- Comfortable working in a hybrid office environment in Bangalore, demonstrating the ability to manage tasks independently while staying aligned with team goals.

- A degree in Computer Science, Engineering, or a related field is preferred, though equivalent professional experience is highly valued.

Experience:

• Python: 5 years (Preferred)
• AWS: 3 years (Preferred)
• Flask: 3 years (Preferred)
• React.js 4 years (Preferred)

As an Associate Technical Architect - Data, you will lead the end-to-end design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. You will provide technical leadership across the entire project lifecycle—from solution architecture and technology selection to implementation, optimization, deployment, and production support.

The role requires deep hands-on expertise in modern AWS data engineering technologies, strong architectural skills, and the ability to mentor engineering teams while collaborating with business and technical stakeholders to deliver scalable, secure, and high-performance data solutions.

Must Have Skills:

• 8+ years of experience designing and delivering enterprise-scale Data Lake, Lakehouse, or Data Warehouse solutions on AWS.
• Proven experience leading end-to-end implementation of cloud-native data platforms, including architecture, design, development, deployment, and production support.
• Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, and Python.
• Strong hands-on experience designing and implementing Lakehouse architectures using Apache Iceberg.
• Strong knowledge of AWS services including EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, IAM, and related AWS data services.
• Experience designing and implementing scalable batch and streaming data pipelines using AWS native services.
• Strong expertise in Spark/PySpark performance tuning and optimization.
• Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance, scalability, and cost efficiency.
• Strong understanding of data modeling, distributed data processing, partitioning strategies, file formats, and Lakehouse/Data Lake architectures.
• Strong understanding of AWS architecture principles, including security, networking, disaster recovery, scalability, resiliency, and cost optimization.
• Experience designing orchestration workflows using Apache Airflow or AWS Step Functions.
• Ability to define cloud data platform architectures, evaluate technology choices, and articulate architectural trade-offs and best practices.
• Experience leading globally distributed engineering teams, mentoring developers, conducting architecture/code reviews, and driving engineering best practices.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills with the ability to translate business requirements into scalable technical solutions.
• AWS Solution Architect Associate/Professional or AWS Data Engineer Associate certification is preferred.

Good to Have Skills:

• Experience with ClickHouse, including performance tuning and query optimization.
• Experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience implementing CI/CD pipelines for data engineering workloads.
• Exposure to Kafka, Hive, HDFS, or other Big Data technologies.
• Hands-on experience using GenAI-assisted development tools such as Kiro, GitHub Copilot, Cursor, or similar AI coding assistants to improve engineering productivity.
• Experience integrating with data governance and metadata management tools such as Collibra.
• Experience integrating with data virtualization platforms such as Denodo.
• Telecom/Mobile Network domain knowledge is preferred but not mandatory.

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

As a Partner Solutions Architect, you own that documentation across all of our partnerships, not just AWS. You're given project and architecture details by the delivery team, and you turn them into the competency documentation each partner program requires, and into case studies you can explain and defend to a partner reviewer, to a prospect, to anyone asking "what did Mactores actually ship here." AI tools are fair game for drafting; the bar is on accuracy and whether it holds up under questioning. Do this well, and the natural next step is a presales architect role, taking these case studies and this partner fluency directly into prospect conversations.

What you’ll do?

• Create and maintain competency documentation across all of Mactores' partnerships AWS, Snowflake, Databricks, Anthropic, OpenAI using project and architecture details provided by the delivery team.
• Produce the technical validation write-ups, architecture diagrams, and case study documentation each partner's competency and service delivery program requires.
• Build a working command of Mactores' case studies well enough to explain them clearly the problem, the architecture, the outcome to partner reviewers, prospects, or internal stakeholders.
• Use AI tools to accelerate drafting, while owning the accuracy and review-readiness of the final document.
• Keep documentation format and quality consistent across partners and engagements.
• Flag gaps in the project details you're given when they're not sufficient to produce audit-ready documentation.
• Work against fixed deadlines tied to partner program renewal and review cycles.

What we’re looking for?

• 2–3 years of experience in technical documentation, solutions architecture, or a related role touching AWS and/or modern data/AI platforms (Snowflake, Databricks, Anthropic, OpenAI).
• Working knowledge of cloud architecture concepts enough to read a design across different platforms and document it accurately.
• Strong technical writing skills; comfortable turning raw project detail into a document that reads cleanly to an external reviewer.
• Comfortable explaining technical case studies out loud, not just writing them this role grows toward customer-facing work.
• Familiarity with diagramming tools (draw.io, Lucidchart, or similar) for architecture diagrams.
• Comfortable using AI tools as part of a documentation workflow, without leaning on them for accuracy you haven't verified.
• Detail-oriented, organized, and able to hold a deadline without supervision.

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers 

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

About the role

We’re hiring an IT Systems Administrator for an NBFC to secure endpoints, SaaS, and networks across ~50 branches, ~250+ field staff, and ~50+ office users.

This is primarily an IT Admin + Security role, with secondary exposure to AWS cloud ops + light DevOps + basic DB access management.

If you’re an IT Admin aiming to break into AWS Cloud Ops + DevOps, this role is a strong next step — you’ll own core IT/security and get hands-on exposure to cloud operations and deployments.

Key responsibilities (Primary: IT Admin + Security)

• Manage endpoint security for laptops and mobiles (policies, patching, encryption, antivirus/EDR); drive MDM implementation now/future (e.g., Intune/Jamf).
• Administer Google Workspace (Gmail/Drive/Calendar): users, groups, permissions, SSO, MFA, sharing controls.
• Own joiner–mover–leaver lifecycle: provisioning/deprovisioning, access controls, periodic access reviews.
• Secure branch connectivity: VPN, internal Wi-Fi, internet usage controls; coordinate troubleshooting and standardization across branches.
• Manage HO security stack: firewall operations, rule changes with change control, monitoring/log review (basic but consistent).
• Secure SaaS tools (CRM/HRMS/comms like Slack/Zoom): role-based access, MFA enforcement, offboarding, integration/OAuth controls.
• Maintain IT asset inventory: procurement coordination, issuance/return, audits, warranty/AMC, license renewals; remote lock/wipe for lost devices.
• Handle security incidents: phishing, account compromise, device loss/theft — contain, investigate, recover, and prevent recurrence.
• Run backups and basic DR testing; maintain SOPs/documentation and train staff on cyber hygiene.
• Provide hands-on user support: laptop builds, software installs, Outlook/Excel issues, VPN/Wi-Fi troubleshooting, escalations and vendor coordination.

Secondary responsibilities (AWS + DevOps + DB ops support)

• Support AWS administration: IAM users/roles/policies, MFA, access key hygiene, basic log review (e.g., CloudTrail).
• Manage AWS access controls: security groups/firewall rules, IP allowlists/whitelisting (admin tools, databases, vendor access).
• Assist engineering with DevOps operations:
• CI/CD support (deployment coordination, rollbacks, environment configuration)
• Secrets/credentials management and rotation (no shared creds)
• DNS + SSL/TLS certificates, basic monitoring/alerting coordination
• Bonus: Docker/Kubernetes and Terraform exposure
• Basic database operations (admin-lite):
• DB user creation, roles/permissions, least-privilege access
• IP allowlisting/whitelisting for DB access via VPN/approved sources
• Backup/restore verification coordination and basic monitoring signals (connections/storage)

Requirements

• 3+ years in IT security / systems administration (BFSI or branch-heavy org preferred).
• Hands-on with Google Workspace or Microsoft 365 administration.
• Must have hands-on experience leading or executing an email suite migration (e.g., Google Workspace ↔ Microsoft 365), including mailbox migration, DNS cutover, MX/SPF/DKIM/DMARC reconfiguration, and user transition management.
• Strong endpoint/security fundamentals: encryption, patching, AV/EDR, remote support, device compliance.
• Comfortable with networks: VPN/Wi-Fi/LAN troubleshooting; firewall basics and change discipline.
• Strong operational discipline: asset tracking, vendor management, documentation, ticketing, user communication.
• Practical AWS familiarity (IAM, access controls, logging) and ability to support DevOps workflows.

Nice to have

• Experience implementing MDM at scale (Intune/Jamf/SureMDM).
• Exposure to SOC2 / ISO27001 evidence, controls, and audit workflows.
• Scripting for automation (PowerShell/Bash/Python).
• Familiarity with managed databases and secure access patterns.

Associate Technical Architect / Senior Software Developer – Java, J2EE, Spring Boot, AWS

At Quantiphi, you will leverage your expertise in Java, Spring Boot, and AWS to develop, modernize, and enhance enterprise applications. The role involves supporting Java application modernization initiatives, designing scalable cloud-native solutions, and delivering high-quality software for enterprise customers.

• Experience in Java application modernization, including upgrading legacy applications to newer Java LTS versions (Java 17/21/25), is preferred.
• Must have experience in developing enterprise-level software and web applications using J2EE/Spring Boot.
• Experience in API integration, application deployment, cloud architecture, and application security.
• Well-experienced in working with tools like Git, Maven, JFrog.
• Should have a solid understanding of Object-Oriented Programming (OOP).
• Well-experienced to perform Unit Testing and Integration Testing and have good experience in Agile-based development approach.
• Expertise in developing enterprise-level web applications and REST and SOAP APIs using Microservices, with demonstrable production-scale experience.
• Working knowledge of SQL or NoSQL databases.
• Understand Architecture Requirements and ensure effective design, development, validation, and support activities with strong problem-solving ability.
• Understanding of core AWS services, uses, and basic AWS architecture best practices.
• Exposure to AWS Transform Custom (ATX) or similar automated code modernization tools is an added advantage.
• Proficiency in developing, deploying, and debugging cloud-based applications using AWS.
• Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications.
• Ability to identify key features of AWS services.
• Experience in developing enterprise web applications using Angular, TypeScript, and REST API integration.
• Identify bottlenecks and bugs, and recommend solutions by comparing the advantages and disadvantages of custom development.
• Should contribute to team meetings, troubleshooting development and production problems across multiple environments and operating platforms.
• Execute strong collaboration and communication skills within distributed project teams, with the ability to prioritize and multitask.

ROLE & RESPONSIBILITIES

• Associate Technical Architect will be responsible for connecting with clients for project briefing, consultation, installation, and close-out reviews.
• Support the design, development, enhancement, and modernization of enterprise Java applications, collaborating with clients and internal teams to deliver high-quality software solutions.
• Help out in managing customer demands to ensure maximum satisfaction and to maintain quality.
• Engage in the negotiation of customer job demands and specifications as regards to resources and infrastructure, and assist in creating comprehensive technical documents.
• Supervise activities between internal and external resources, and facilitate smooth workflow for service delivery.
• Evaluate project data for accuracy, and take the lead in setting project targets and priorities. Give training and mentorship to team members to make them better on the job.
• Be up to date with current field practices to enhance service standards and delivery.
• Review customer technical demands and instructions and assist the internal team and customers to identify the best order for lifts and the most efficient methods of maintaining and using delivered materials.
• Remain knowledgeable about current technology and carry out research to identify new trends that can be used to achieve maximum results.
• Carry out other technical-related duties that may be required. Be abreast of the best coding and architecting practices, ensuring the APIs are robust and easy to maintain, and coordinate with the rest of the team working on different layers of the infrastructure.

We are looking for a Python with the following experience and expertise:

• Proficiency in developing RESTful APIs using Flask, Django, or FastAPI.
• Hands-on experience with ORMs for database query mapping.
• Experience in designing, developing, and maintaining application integrations/connectors using REST APIs, SCIM, LDAP, webhooks, or similar integration technologies.
• Strong understanding of API authentication (OAuth 2.0, JWT, API Keys, Basic Auth) and integration best practices.
• Experience in writing unit test cases, ensuring code coverage, and API testing.
• Hands-on experience with Postman for API validation and testing.
• Minimum 2 years of experience working with any major cloud platform (AWS, Azure, or GCP).

Preferred:

• Experience building identity/IAM connectors or integrating enterprise applications with Identity Governance (IGA), IAM, HRMS, ERP, CRM, or SaaS platforms.

Hiring Alert – Java Full Stack with Python | Noida | FTE with Client

We are hiring for the below opportunity:

Role: Java Full Stack Developer with Python

Employment Type: Full-Time (FTE) with Client

Location: Noida

CTC: ₹30–35 LPA + 10% Variable (Maximum budget; non-negotiable)

Notice Period: Immediate joiners or candidates with up to 30 days' notice only

Mandatory Skills

• Strong experience in Java
• Full Stack development experience
• Good hands-on experience with Python
• Relevant experience in modern backend and frontend technologies

Selection Process

1. Online Assessment Test (mandatory)
2. Candidates who clear the assessment will be invited for an In-Person/Face-to-Face Interview.

Interview Date: Saturday, 8th August

Interview Location: Noida (Candidates must be available to attend in person.)

Important Notes

• Candidates must be willing to take the assessment before the interview.
• Salary expectations should be within the mentioned budget (₹30–35 LPA + 10% Variable, non-negotiable).
• Only immediate joiners or candidates serving a notice period of 30 days or less will be considered.

Please share suitable profiles after confirming:

• Current CTC
• Expected CTC (within budget)
• Notice Period
• Willingness to take the assessment
• Availability for the Face-to-Face interview in Noida on Saturday, 8th August

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 4+ Years

Location : Gurugram, Sector 48, Haryana (On-site)

Employment Type : Full-Time

Working Days : Monday to Saturday (1st & 3rd Saturday Off)

About the Role :

We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.

The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.

Mandatory Skills :

Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting

Key Responsibilities :

• Manage and maintain AWS cloud infrastructure.
• Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Deploy, monitor, and troubleshoot applications across production environments.
• Automate infrastructure using Terraform and Ansible.
• Manage Docker containers and Kubernetes clusters.
• Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
• Perform Linux server administration and troubleshooting.
• Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
• Collaborate with development teams to support application releases and automation.

Required Qualifications :

• Bachelor's degree in Computer Science or related field.
• 4+ years of hands-on experience in DevOps / SRE.
• Strong Linux administration and production troubleshooting skills.
• Experience with AWS and modern DevOps toolchains.
• Hands-on experience with application deployment and production support.

What We're Looking For :

• Strong practical Linux and cloud knowledge.
• Real production experience with application deployments.
• Ability to troubleshoot both infrastructure and application issues.
• Experience handling live production incidents.
• Excellent communication and problem-solving skills.
• Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.

Interview Process :

1. HR Screening
2. Technical Round
3. Client Technical Round
4. Final Discussion

Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency, and low-latency requirements.

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.

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks

and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or

DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-

availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and

design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment

systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency,

and low-latency requirements.

At Quantiphi, you will be a key leader within our Platform Engineering team, responsible for defining and driving the architectural vision for cloud-based solutions. You will lead the design and implementation of robust pipeline infrastructure, orchestrating integration flows among upstream RPA processes, the AR tool backend, and downstream systems. You will work closely with stakeholders, cross-functional teams, and clients to ensure that solutions are scalable, secure, and aligned with business objectives.

Must have skills:

• Strong expertise in designing and architecting scalable, secure, and highly available AWS platforms using services such as API Gateway, Lambda, EC2, ECS/EKS, VPC, IAM, S3, CloudWatch, CloudTrail, ECR, SNS, SQS, EventBridge, Systems Manager (SSM), KMS, and Secrets Manager.
• Proven technical experience in designing and overseeing end-to-end platform integration architectures, orchestrating data and process flows between upstream systems, third-party applications (e.g., ERP systems such as BaaN, SAP, Oracle), internal services, and downstream consumer applications.
• Strong expertise in API architecture, including RESTful APIs, API Gateway, authentication/authorization (OAuth, JWT, API Keys), API lifecycle management, integration patterns, and secure third-party connectivity.
• Extensive experience designing AWS IAM security governance, including IAM Roles, Policies, Cross-Account Access, Permission Boundaries, Service Control Policies (SCPs), and enterprise identity and access management strategies.
• Strong experience designing AWS infrastructure using Infrastructure as Code (Terraform, AWS CloudFormation, or AWS CDK), with reusable platform modules, reference architectures, and standardized deployment frameworks.
• Expertise in designing and implementing enterprise CI/CD and DevSecOps pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline, integrating automated testing, security scanning, and deployment governance.
• Strong knowledge of enterprise networking, including VPC architecture, Transit Gateway, Direct Connect, VPN, Load Balancers, Route 53, DNS, PrivateLink, and hybrid connectivity.
• Experience implementing enterprise monitoring and observability using Amazon CloudWatch, CloudTrail, dashboards, centralized logging, and alerting frameworks to ensure platform reliability and operational excellence.
• Proficiency in automation using Python, Bash, PowerShell, and AWS SDK (Boto3) to streamline platform operations and deployments.
• Excellent technical solution design, stakeholder management, technical leadership, documentation, and mentoring skills, with the ability to drive architecture reviews and establish engineering best practices.

Good to have skills:

• Experience designing enterprise integration platforms using event-driven and microservices architectures.
• Knowledge of AWS Organizations, Control Tower, Landing Zone, governance frameworks, and FinOps best practices.
• Experience with container platforms such as Docker, Kubernetes, Amazon ECS/EKS, and service mesh technologies.
• Familiarity with enterprise observability platforms such as Grafana, Prometheus, Datadog, Splunk, or OpenSearch.
• Experience with enterprise messaging and integration technologies such as Kafka, Amazon MSK, MQ, or EventBridge.
• Knowledge of disaster recovery, business continuity, and high-availability architecture.
• AWS Certifications such as Solutions Architect – Professional, DevOps Engineer – Professional, Security Specialty, or Advanced Networking – Specialty.
• Experience working in Agile, DevOps, and Platform Engineering environments.

🚀 We're Hiring | Java Lead | Bangalore

Are you an experienced Java Lead passionate about building scalable, cloud-native enterprise applications? We're looking for a hands-on leader with strong expertise in Java, Spring Boot, Microservices, and modern backend technologies to drive high-impact development initiatives.

📍 Location: Bangalore

💼 Employment Type: Contract to Hire (C2H)

🧑‍💻 Experience: 8+ Years

Key Responsibilities

• Design, develop, and maintain high-performance Java-based applications using modern frameworks.
• Lead the development of scalable microservices and RESTful APIs.
• Collaborate with cross-functional teams to deliver robust, secure, and high-quality software solutions.
• Build and optimize backend services with Spring Boot, Spring MVC, and Spring Security.
• Develop efficient database solutions using SQL and ORM frameworks such as Hibernate/JPA.
• Integrate messaging systems like Kafka or RabbitMQ for event-driven applications.
• Participate in architecture discussions, code reviews, and technical mentoring.
• Implement CI/CD pipelines and containerized deployments using Docker, Kubernetes, and Jenkins.
• Ensure adherence to coding standards, best practices, and Agile methodologies.

Required Skills

• Strong hands-on experience with Java 8/11/17
• Expertise in Spring Boot, Spring MVC, and Spring Security
• Strong understanding of Microservices Architecture
• Experience in developing REST APIs
• Hands-on experience with Hibernate/JPA
• Strong SQL skills with MySQL, PostgreSQL, or Oracle
• Experience with Kafka or RabbitMQ
• Proficiency with Git, Maven, and Gradle
• Experience with Docker and Kubernetes
• Exposure to AWS, Azure, or GCP
• Experience with Jenkins and CI/CD pipelines
• Strong knowledge of design patterns and data structures

Preferred Skills

• Experience with Spring WebFlux and reactive programming
• Knowledge of MongoDB or other NoSQL databases
• Familiarity with Agile/Scrum methodologies
• Experience with JUnit and Mockito for unit testing

Educational Qualification

• Bachelor's degree in Computer Science, Information Technology, or a related field.

📩 Interested candidates, please share your updated resume.

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

Senior Generative AI Engineer

Employment Type: Permanent with VDart Digital

Work Location: Marathalli, Bengaluru

Job Description

We are seeking a highly skilled Senior Generative AI Engineer with strong expertise in designing, developing, and deploying enterprise-scale AI solutions using Large Language Models (LLMs) and modern Generative AI frameworks. The ideal candidate should have hands-on production experience building scalable GenAI applications, AI agents, autonomous workflows, and Retrieval-Augmented Generation (RAG) systems in cloud-native environments.

This role requires deep technical expertise in LLM orchestration, AI application architecture, prompt engineering, vector databases, MLOps, and production deployment of AI systems. Candidates should have proven experience delivering real-world AI solutions in enterprise environments with strong exposure to cloud platforms and DevOps practices.

Key Responsibilities

• Design, build, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs).
• Develop intelligent AI agents and autonomous workflows using frameworks such as LangChain, CrewAI, LangGraph, AutoGen, or similar agentic AI frameworks.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search technologies.
• Work extensively on prompt engineering, tool calling, memory management, agent orchestration, and multi-agent systems.
• Integrate and manage LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar foundation models.
• Develop scalable AI services and APIs using Python and FastAPI.
• Build production-ready AI solutions with high availability, scalability, monitoring, and observability.
• Deploy and manage AI applications in cloud-native environments using Docker and Kubernetes.
• Collaborate with Data Science, ML Engineering, and DevOps teams to operationalize AI solutions.
• Implement CI/CD pipelines and automated deployment processes for AI workloads.
• Monitor model performance, latency, reliability, and operational efficiency in production environments.
• Ensure AI solutions follow enterprise security, governance, and responsible AI standards.
• Evaluate and adopt emerging Generative AI tools, frameworks, and models.

Required Skills

Generative AI & LLM Expertise

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Production-level experience building and deploying GenAI applications.
• Expertise in LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
• Experience with AI agents, autonomous workflows, and multi-agent architectures.
• Strong understanding of prompt engineering, embeddings, model evaluation, and LLM orchestration.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.

RAG & Vector Databases

• Strong experience implementing RAG pipelines and semantic retrieval systems.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Understanding of chunking strategies, embeddings, indexing, reranking, and retrieval optimization.

Python & AI Development

• Strong proficiency in Python.
• Experience with FastAPI for AI service and API development.
• Experience with AI/ML libraries and data processing tools such as Pandas and NumPy.

Cloud & Production Deployment

• Mandatory production experience on at least one cloud platform:
• Microsoft Azure
• Experience deploying scalable AI applications in enterprise production environments.
• Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, and CI/CD pipelines.
• Strong understanding of MLOps, AI deployment lifecycle, monitoring, and observability.

Engineering & Operational Excellence

• Strong understanding of software engineering best practices.
• Experience with Git, version control, automated testing, and release management.
• Experience building secure, scalable, and high-performance AI solutions.
• Ability to troubleshoot production AI systems and optimize performance.

Preferred Skills

• Experience with AI observability and evaluation frameworks.
• Exposure to fine-tuning, PEFT, LoRA, or model optimization techniques.
• Experience with enterprise AI governance and responsible AI practices.
• Knowledge of distributed AI systems and scalable inference architectures.
• Familiarity with AI security and compliance standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3–8 years of overall software engineering experience.
• Minimum 3+ years of hands-on experience in Generative AI and LLM-based application development,
• Proven track record of delivering enterprise-scale AI solutions in production environments.
• Strong communication and stakeholder management skills.

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

About Engineering at Mitratech Legal Solutions 

Mitratech's engineering organization is a collaborative and dynamic environment where engineers are empowered to drive technical direction and innovation. Our engineers are passionate about delivering high-quality products and solutions that meet the evolving needs of our customers, and we're committed to fostering a culture of continuous learning and growth. 

About the Role 

Mitratech is a fast-paced and dynamic environment, and this role requires someone who is adaptable, resilient, and able to thrive in a rapidly changing landscape. If you’re a seasoned engineer with a passion for technical leadership, innovation, and collaboration — including building the data foundations that power both reporting and AI-driven products — we’d love to hear from you. 

What You Will Do

• Drive technical direction for a significant product domain or platform capability, ensuring alignment with business objectives and customer needs 
• Design and maintain data pipelines that increasingly feed AI systems (e.g., RAG ingestion, embeddings, vector stores), not just dashboards and reports 
• Use AI-assisted engineering tools (e.g., Claude Code, Copilot, Cursor) as part of your own workflow, and help other engineers adopt them effectively 
• Reduce systemic complexity by identifying and leading architectural debt remediation, and develop strategies for ongoing technical debt management 
• Partner with Product and Engineering leadership to inform multi-quarter roadmap feasibility, and provide technical guidance and oversight to ensure successful implementation 
• Elevate engineering craft across multiple teams through RFCs, mentorship, and knowledge sharing, and develop training programs to improve engineering skills and knowledge 
• Represent Mitratech’s technical capabilities externally, including speaking at conferences, contributing to open-source projects, and engaging with industry peers and thought leaders 

 What We Are Looking For 

To be successful in this role, you will need: 

• 10+ years of experience in software engineering, with a focus on technical leadership and architecture 
• Deep understanding of data engineering principles, including data modeling, data warehousing, reporting, and data governance 
• Strong technical expertise in SQL, PostgreSQL, ETL/ELT pipelines, BI tools, and analytics platforms 
• Comfort using AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a regular part of the engineering workflow 
• Practical experience with AI/LLM-adjacent data work — e.g., RAG ingestion pipelines, embedding generation, vector store management, or applying data quality and governance practices to data consumed by AI models 
• 5+ Years of experience on Ruby on Rails, React, and modern cloud platforms such as AWS 
• Experience leading cross-functional initiatives with product, engineering, analytics, and business teams 

Nice to Have 

• Experience with a semantic or metrics layer (e.g., dbt Semantic Layer, headless BI) 
• Experience with BI, reporting, dashboards, and customer-facing analytics 
• Understanding of CI/CD, Git-based workflows, and infrastructure-as-code 

The Stack Context 

• Modern data stack: Fivetran, Airbyte, dbt, Snowflake, GitHub, Terraform, or similar tools 
• Application context: Ruby on Rails, React, or similar backend/frontend frameworks 
• Data modeling: SQL, analytics models, documentation, testing, naming standards, and version control 
• Infrastructure: cloud-based data infrastructure, infrastructure-as-code, CI/CD, monitoring, and cloud storage 
• Data workflows: ingestion, transformation, orchestration, reporting, deployment, and change management 
• Reporting focus: trusted metrics, scalable reporting models, dashboards, exports, and data quality 
• AI surface: data pipelines and quality practices supporting AI/LLM use cases (RAG, embeddings, vector stores) alongside traditional BI 

Why This Role 

This role offers a unique opportunity to drive technical direction and innovation at a rapidly growing company, while also mentoring and coaching engineers to improve their craft. As a Principal Data Engineer at Mitratech, you will have the chance to work on complex and challenging problems, collaborate with cross-functional teams, and represent the company’s technical capabilities externally. If you’re looking for a role that offers a mix of technical leadership, innovation, and collaboration, this could be the perfect fit for you. 

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

Great engineers aren’t built by watching.

They’re built by solving real problems.

At AbleCredit, interns don’t work on toy projects or isolated assignments. From your first few weeks, you’ll contribute to production systems used by enterprise customers, collaborate with experienced engineers, and learn what it takes to build reliable software at scale.

If you’re curious, enjoy building things, and want to accelerate your engineering career, we’d love to work with you.

What You’ll Build?

As an Engineering Intern, you’ll work alongside our engineering team to build and improve products used by real customers.

Depending on your interests and the team’s priorities, you’ll:

● Build backend services, APIs, and platform features.

● Develop user-facing features across our web applications.

● Work with databases, cloud services, and third-party integrations.

● Debug production issues and improve system reliability.

● Participate in code reviews and technical design discussions.

● Write clean, maintainable, and well-tested code.

● Learn how modern software is designed, built, deployed, and monitored.

Your work won’t be a demo project—it will ship to production.

What We’re Looking For?

We’re looking for people who enjoy solving problems more than collecting technologies on their résumé.

You’ll likely succeed if you:

● Are pursuing or have recently completed a Bachelor’s or Master’s degree in Computer Science or a related field.

● Have strong programming fundamentals and problem-solving skills.

● Understand data structures, algorithms, and object-oriented programming.

● Are comfortable with at least one programming language such as JavaScript, TypeScript, Python, Java, or Go.

● Understand the basics of databases, REST APIs, and Git.

● Learn quickly and enjoy exploring unfamiliar technologies.

● Communicate clearly and work well in a collaborative environment.

Bonus Points:

Experience with any of these is helpful but not required:

● Node.js, FastAPI, Spring Boot, or Django

● React and modern frontend development

● SQL and NoSQL databases

● AWS, GCP, or Azure

● Docker, Kubernetes, or CI/CD

● AI, LLMs, or workflow automation

Don’t worry if you haven’t worked with everything on this list. We care more about your ability to learn than your current toolkit.

What You’ll Learn?

During your internship, you’ll gain practical experience with:

● Building production software

● Backend engineering and API design

● Modern web application development

● Cloud infrastructure

● Distributed systems and asynchronous workflows

● Software testing and debugging

● Git-based development workflows

● Code reviews and engineering collaboration

You’ll also learn how engineering teams operate inside a fast-moving startup—from

turning ideas into products to shipping features used by customers.

Why Join AbleCredit?

You’ll join a small, high-ownership engineering team where your contributions matter from day one.

You’ll have the opportunity to:

● Build software used by real enterprise customers.

● Receive mentorship from experienced engineers.

● Learn modern engineering practices and tools.

● Work across the backend, frontend, and cloud stack.

● Take ownership of meaningful features instead of isolated tasks.

● Convert your internship into a full-time engineering role based on your

performance and available opportunities.

We Think You’ll Enjoy This Role If...

● You build side projects because you enjoy learning.

● You like understanding how systems work—not just using them.

● You’re excited to write code that reaches production.

● You ask questions, experiment, and learn quickly.

● You want an internship where you’ll build, not just observe.

Job Title: AI Developer

Location: Bangalore / Hyderabad

Experience: 5–7 Years

Notice Period: Immediate to 15 days Preferred

About the Role

We are looking for a skilled AI Developer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions that solve real-world business problems. You will work closely with data scientists, engineers, and business stakeholders to build scalable AI-powered applications and pipelines.

Key Responsibilities

• Design and develop Machine Learning models, Deep Learning architectures, and NLP solutions for production use.
• Build and maintain end-to-end ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Integrate AI/ML models into existing applications and APIs.
• Fine-tune and evaluate Large Language Models (LLMs) for business-specific use cases.
• Collaborate with data engineers to ensure high-quality training data.
• Monitor model performance in production and implement retraining strategies.
• Research and evaluate emerging AI frameworks, tools, and technologies.
• Document models, experiments, and technical decisions.
• 
  

Required Skills & Experience

• 3+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience with NLP frameworks such as Hugging Face, spaCy, and LangChain.
• Familiarity with LLMs and Prompt Engineering (OpenAI, Anthropic, Gemini, etc.).
• Experience deploying models using FastAPI or Flask (REST APIs).
• Strong understanding of Data Structures, Algorithms, and Statistics.
• Experience with AWS, Azure, or GCP and MLOps tools.
• Experience with Vector Databases such as Pinecone, Weaviate, or FAISS is an added advantage.

AWS Delivery Lead

Location: Mumbai / Bangalore / Gurgaon / Hyderabad 

Role Summary 

The AWS Practice Lead is a senior technical leader responsible for driving AWS architecture, delivery excellence, customer engagement, and practice growth at AuxoAI. This role involves designing enterprise-scale cloud and AI solutions, leading cross-functional teams, and working closely with AWS stakeholders to position AuxoAI as a leading Enterprise AI and Cloud Transformation partner. 

Key Responsibilities 

1. Technical Leadership 

• Define and drive AWS architecture strategy across engagements 
• Design scalable, secure, resilient, and cost-effective solutions 
• Establish architecture standards, governance, and best practices 
• Lead architecture reviews and provide oversight on complex programs 

2. Delivery Leadership 

• Partner with delivery and account teams to ensure successful execution 
• Guide engineering teams on technical decisions and challenges 
• Ensure delivery quality aligned with AWS Well-Architected principles 
• Identify and mitigate risks across projects 

3. AWS Partnership & Customer Engagement 

• Act as the technical lead for AWS partnership initiatives 
• Collaborate with AWS teams on joint opportunities 
• Lead customer workshops, executive briefings, and solution design sessions 
• Support pre-sales, proposals, and technical presentations 

4. AI & Data Innovation 

• Lead AI/ML, Generative AI, and data analytics solutions on AWS 
• Architect modern AI applications using AWS services (e.g., Bedrock, SageMaker) 
• Advise customers on AI adoption, modernization, and data strategy 
• Drive innovations in GenAI, Agentic AI, and automation 

5. Practice Building 

• Build and mentor AWS architecture and engineering teams 
• Drive certifications and skill development 
• Create reusable frameworks, accelerators, and best practices 
• Support hiring and growth of the AWS practice 

Required Qualifications 

Experience 

• 12+ years in cloud architecture / consulting / enterprise technology 
• 5+ years of hands-on AWS architecture experience 
• Proven expertise in large-scale cloud transformation programs 
• Strong stakeholder management and consulting skills 

Technical Skills 

• AWS Core: EC2, S3, RDS, VPC, IAM, Route 53, ELB, Control Tower 
• Cloud Native & DevOps: EKS, ECS, Lambda, API Gateway, Terraform, CI/CD 
• Data & Analytics: Redshift, Glue, Athena, EMR, Kinesis 
• Security & Governance: Security Hub, GuardDuty, KMS, CloudTrail 
• AI/ML & GenAI: Bedrock, SageMaker, LLMs, RAG, vector DBs, MLOps 

Leadership Skills 

• Strong communication and executive presentation abilities 
• Experience leading workshops and influencing stakeholders 
• Proven team mentoring and leadership capabilities 
• Customer-centric mindset with strong business acumen 

Preferred Qualifications 

• AWS Certifications (Solutions Architect Professional, DevOps, ML, Security) 
• Experience with AWS Partner Network (APN) and co-sell programs 
• Multi-cloud exposure (Azure/GCP) 
• Experience delivering AI/GenAI solutions for enterprise clients 
• Exposure to regulated industries (BFSI, Healthcare, Telecom, etc.) 

Success Metrics 

• Successful delivery of strategic AWS engagements 
• Growth in AWS services revenue and customer satisfaction 
• Expansion of AWS partnerships and go-to-market initiatives 
• Increase in AWS-certified talent and reusable solution assets 
• Establishment of AuxoAI as a trusted AWS & AI transformation partner 

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

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

We are seeking a Senior Android DevOps Engineer with 4+ years of specialized experience in mobile engineering pipelines. In this role, you will own, scale, and optimize our Android continuous integration and deployment (CI/CD) infrastructure. You will work closely with mobile development and QA teams to accelerate release cycles, ensure tight build security, and automate the journey from local code commit to the Google Play Store.

Key Responsibilities

1. ● Own CI/CD Infrastructure: Build, maintain, and scale robust mobile-specific CI/CD pipelines using platforms like Bitrise, GitHub Actions, or GitLab CI.
2. ● Automate Release Workflows: Design and implement end-to-end automation for Android builds (APK/AAB), test execution, and deployment using Fastlane and Gradle.
3. ● Manage Store Deployment: Oversee and automate app distribution via the Google Play Console, managing internal, closed testing, and production rollouts.
4. ● Secure Code Signing: Maintain the integrity of Android keystores, API keys, and certificates using secure secrets management tools.
5. ● Optimize Build Performance: Monitor and actively reduce build times, resolve dependency caching issues, and ensure infrastructure cost efficiency.
6. ● Quality & Observability Integration: Embed automated UI/unit testing (Espresso, Appium) and crash/performance tracking tools (Firebase Crashlytics, Sentry) directly into the pipeline.

Required Skills & Qualifications

1. ● Experience: 4+ years of dedicated experience in Mobile DevOps, Release Engineering, or Android Development with a heavy focus on infrastructure.
2. ● Build Systems: Deep, hands-on expertise with Gradle, ProGuard/R8, and the Android SDK.
3. ● Automation Tools: Advanced proficiency with Fastlane and scripting languages like Bash, Python, or Groovy.
4. ● Version Control: Solid understanding of version control best practices and Git branching strategies (e.g., Gitflow, Trunk-based development).
5. ● Problem Solving: Ability to diagnose and resolve build/environment issues independently.
6. ● Cloud & Containers: Solid understanding of Docker, cloud runners (AWS/GCP), and infrastructure as code.