Top Tech Jobs & Startup Jobs in Chennai

Builds and supports CI/CD pipelines, AWS infrastructure, Terraform configurations, Ansible automation, Docker containers, Kubernetes workloads, and monitoring solutions. Troubleshoots infrastructure, deployment, networking, and application issues across multiple environments; automates repetitive operational tasks; supports engineering teams with reusable DevOps solutions and developer self-service capabilities. The role also participates in incident response, root cause analysis, documentation, peer reviews, on-call support, and knowledge sharing.

Senior data engineer responsible for designing, building, and optimizing scalable cloud-based data pipelines and lakehouse solutions on AWS. Lead complex integrations, implement data modeling and governance, promote engineering best practices, automate infrastructure and CI/CD, mentor engineers, and collaborate with stakeholders to deliver reliable analytics and BI solutions.

Design, build, and maintain AWS-native cloud data pipelines and ETL/ELT processes (S3, Glue, Redshift, AppFlow, Step Functions). Integrate enterprise apps (Salesforce, NetSuite), develop scalable data models, monitor pipeline performance, ensure data quality and governance, support CI/CD and IaC (Terraform), apply AI/ML for data quality/monitoring, and collaborate with stakeholders and peers.

Designs and deploys AI-enabled platform capabilities, integrating LLMs, prompt engineering, RAG, embeddings, and intelligent workflows. Builds AI evaluation and validation frameworks alongside scalable QA automation for APIs, microservices, distributed systems, and platform services. Integrates automated testing into CI/CD pipelines, validates reliability and performance, and collaborates with engineering, product, data, and platform teams. Provides technical leadership on AI engineering, automation, and quality standards.

Develop and maintain PDI software products, participate in application design, troubleshoot and debug issues, perform engineering-level testing, and collaborate with Product Owners and QA Engineers in an Agile environment. The role includes estimating feature work, documenting solutions, assessing project risks, validating requirements, and applying software engineering fundamentals across web stacks and relational databases.

Design, build, test, and support PDI enterprise software as part of an agile team. Reproduce and troubleshoot customer issues, write safe T-SQL correction scripts, investigate defects across layers, lead small-to-medium projects, mentor junior engineers, collaborate with Architecture, DevOps, Product, and QA, and continuously improve code quality, performance, and engineering practices.