Top DevOps Jobs in Chennai

Lead cloud modernization and migration to cloud-native microservices; provide technical leadership across agile teams; champion CI/CD, DevSecOps, automated testing; manage talent, stakeholders, and delivery of high-quality online APIs.

The Engagement Manager II at Akamai will strategize and advise on technology solutions, enhance customer relationships, drive satisfaction, and lead account teams for customer success.

Lead and manage software engineering teams while ensuring code quality and timely delivery of enterprise-grade applications, providing technical oversight and mentorship.

Lead Sonar's strategy and executive engagement with Global Systems Integrators in India. Drive integrations into SDLC/CI/CD, co-innovation, joint GTM initiatives, partner enablement, and pipeline growth while tracking partner performance and reporting to leadership.

The Workflow Automation Engineer will design and implement automated workflows using N8N, Tray.ai, and AI technologies, collaborating with teams to enhance operational efficiency and deliver scalable solutions.

The Strategic Account Director will manage key BFSI accounts, develop strategic plans, maintain executive relationships, and drive revenue growth through complex sales cycles in India's banking and finance sectors.

Design, build, and maintain automated CI/CD pipelines and scalable AWS infrastructure for media ingest and distribution. Implement IaC, monitoring/logging, DevSecOps practices, and automation; develop tools/scripts; support upgrades/migrations; document architectures and integrations; collaborate with software, broadcast, and operations teams to improve reliability and performance.

The role involves leading the AI and Data Platform DevSecOps function, establishing operational models, managing incidents, driving continuous improvement, and ensuring production stability.

The Software Engineering Manager will lead the development of technology solutions for clinical trial operations, manage software delivery, mentor engineers, and ensure compliance with healthcare regulations.

Lead cross-functional engineering teams to deliver AI-enabled, cloud-native solutions. Bridge onshore stakeholders and offshore delivery, own end-to-end AI software delivery, ensure quality, drive adoption of ML/GenAI capabilities, mentor engineers, and manage delivery outcomes including planning, risk, and timelines.

The Custom Software Engineer will design, build, and configure applications to meet business requirements, while actively participating in team discussions and code reviews.

Design, develop, and implement Java full-stack solutions (Java/Spring, Angular) working with BAs, QA and ops. Participate in testing, propose technical solutions and performance improvements, follow coding standards, implement DevOps tools, and provide operational support. Finance/banking experience is advantageous.

Design, develop, and maintain scalable data pipelines and ETL/ELT processes on Databricks and cloud platforms. Implement batch and real-time ingestion, ensure data quality and governance, optimize Spark jobs, collaborate with architects and data teams, and support data lake and orchestration tooling.

Lead the technical operations and delivery of cloud-native engineering platforms, ensuring high availability and performance, while providing consultation, managing incidents, and driving continuous improvement initiatives.

Lead full-stack architecture and development of enterprise applications, mentor engineers, and ensure alignment of technology solutions with business goals.

Manage software and platform releases across the UK, ensuring operational integrity and stakeholder alignment. Oversee deployment through CI/CD pipelines, communication with teams, incident management, risk compliance, and continuous improvement processes.

Lead development and configuration of software systems with a focus on Siemens Teamcenter. Act as SME, make team decisions, mentor members, engage cross-team, troubleshoot complex issues, and ensure projects align with client expectations using Agile and DevOps practices.

Design and guide application data architecture and scalable data pipelines using Databricks, Spark/PySpark, cloud platforms and ETL/ELT tools. Collaborate with teams to assess impact, produce estimates, implement data ingestion, streaming/batch processing, performance tuning, governance, and security to ensure reliable data availability for analytics.

Assist in designing the data platform blueprint and components, build and optimize scalable ETL/ELT pipelines with Spark/PySpark on cloud platforms, support data lakes and real-time streaming, collaborate with architects and data teams, and maintain governance and performance tuning.

Support design and implementation of a scalable data platform. Build, maintain, and optimize ETL/ELT pipelines using PySpark/Spark and Databricks. Work with cloud platforms (AWS/Azure/GCP), data lakes, streaming (Kafka), orchestration (Airflow), and collaborate with architects, data scientists, and analysts to ensure data availability, security, and performance.

Design and support scalable data pipelines and ETL/ELT processes using Databricks, Spark/PySpark and cloud platforms. Collaborate with data teams to implement data lakes, streaming/batch processing, performance tuning, governance, and deployment practices to ensure data availability and security.

Lead development and configuration of software systems (end-to-end or lifecycle stage), act as SME, manage and mentor team members, drive integration and configuration management, troubleshoot issues, and ensure delivery quality and timelines while collaborating across teams.

Design, build, and optimize scalable data pipelines and data platform components using Spark/Databricks. Implement ETL/ELT (batch and streaming), support cloud deployments (AWS/Azure/GCP), enforce data governance/security, tune performance, and collaborate with architects, data scientists, and analysts to ensure data availability and accuracy.

Lead development and configuration of software systems with emphasis on Siemens Teamcenter. Act as SME, make team decisions, mentor, collaborate across teams, troubleshoot issues, and ensure alignment with project timelines and best practices.

Support design and implementation of the data platform blueprint and components. Build, maintain, and optimize scalable batch and streaming data pipelines using Spark/PySpark and Databricks. Deploy solutions on cloud platforms, manage data lakes and orchestration, ensure data ingestion, performance tuning, security, and collaborate with architects, data scientists, and analysts.