Top DevOps Jobs in Chennai

Designs and delivers end-to-end automation architectures, frameworks, and resilient solutions for large-scale environments. Integrates observability and monitoring ecosystems, applies platform engineering concepts, and provides technical leadership and architectural guidance. The role requires hands-on Python development, with preferred Linux and DevOps experience, plus exposure to GenAI and agentic AI implementations.

Design, develop, test, operate and maintain full-stack banking software. Own production-ready code, perform code reviews, ensure scalability, reliability, security and compliance, and support DevOps/CI-CD and modernization efforts.

Designs, develops, tests, operates, and maintains full-stack software products, primarily using Pega Infinity and related frameworks. Responsibilities include creating scalable and reliable technical designs, writing production-ready code, performing code reviews, analyzing failures, improving operational reliability, supporting CI/CD and cloud deployments, and ensuring security and compliance. The role also involves collaboration with product teams, vendors, and customers within an Agile development environment.

Designs, develops, tests, operates, and maintains full-stack software products. Creates scalable, reliable, and performant technical solutions; analyzes failures; conducts code reviews; and applies security, compliance, and software reliability practices. Collaborates across product teams, communicates blockers, supports incremental delivery, and contributes to technology transformation through agile development, DevOps, innovation, and continuous improvement.

The Director of Engineering will lead multiple engineering teams and define technical strategy for enterprise-scale backend, frontend, and data platforms. Responsibilities include governing Java microservices and React architecture, modernizing cloud infrastructure across AWS, Azure, or GCP, integrating Snowflake and Databricks, establishing security and observability standards, improving DevOps and CI/CD maturity, and driving reliability, delivery quality, and AI-enabled BI evolution. This is a hands-on leadership role requiring strong Java coding skills.

Leads full-stack software engineering across design, development, testing, operations, and maintenance. Owns production-ready, scalable, reliable, and secure software, performs failure analysis, conducts code reviews, and promotes architectural and engineering best practices. Collaborates with product teams, vendors, and customers; mentors junior engineers; supports agile delivery, compliance, DevOps, continuous improvement, and the bank’s technology transformation.

Build, deploy, and integrate LLM-based and AI tooling into developer workflows and CI/CD pipelines; troubleshoot and support developers; embed AI in build/upgrade/security processes; measure outcomes and iterate on tooling.

Leads enterprise data platform architecture and Lakehouse implementation using Databricks. Designs scalable ingestion, transformation, governance, security, data sharing, and analytics integrations. Provides hands-on guidance in Python, PySpark, Delta Lake, Unity Catalog, and cloud platforms while leading cross-functional delivery, client engagement, stakeholder enablement, and people development. Drives adoption of advanced Databricks capabilities, performance optimization, compliance controls, and governed data products.

Build, maintain, and optimize scalable batch and real-time data pipelines using PySpark, Spark, and cloud platforms. Develop ETL/ELT processes, data ingestion strategies, data lakes, and Big Data frameworks. Support data platform architecture, governance, security, performance tuning, and deployment across AWS, Azure, or GCP. Collaborate with data scientists, analysts, architects, and engineers to ensure reliable, secure, and accessible data.

Lead design and delivery of large-scale AI/ML systems, microservices, and data engineering pipelines. Build and deploy LLM-based solutions using modern ML frameworks, cloud-native architectures, CI/CD, and observability while managing stakeholders and enterprise agile delivery in financial services.

Paid 10-week hybrid software engineering internship in Houston. Interns will design, code, test, document, and troubleshoot software features while collaborating with development, quality engineering, and documentation teams. The role includes participating in design reviews, assuring software quality and performance, researching technical issues, and learning new technologies in an agile environment.

Supports analysis and evaluation of business systems, package software configuration, performance testing, issue resolution, system improvements, and technical documentation. Participates in agile ceremonies, researches business processes, and collaborates with deployment, service, business, and agile teams. The internship emphasizes data analysis, Excel, SQL, DevOps concepts, problem-solving, communication, and working across a diverse technology environment.

Leads design, development, testing, deployment, and support of complex C/C++ and .NET software for MES and equipment automation systems. Translates requirements into scalable architectures, resolves distributed-system issues, drives verification and validation, participates in design and code reviews, collaborates with cross-functional teams, mentors engineers, and leads technical projects.

Leads enterprise-scale Databricks Lakehouse architecture and implementation, including data ingestion, transformation, governance, security, sharing, and analytics integrations. Designs scalable pipelines with PySpark, Delta Lake, Auto Loader, and Delta Live Tables; implements Unity Catalog, privacy controls, and performance optimization. Provides client and cross-functional leadership across data science, analytics, and platform teams, while guiding adoption of advanced Databricks capabilities and developing technical talent.

Design, develop, and support enterprise data platforms, ETL/ELT pipelines, Oracle databases, data warehouses, and risk and regulatory reporting solutions. Build automation, optimize SQL and data processing, ensure data quality, reconciliation, lineage, governance, and audit readiness. Provide L2/L3 production support, resolve incidents, manage batch operations, and perform root-cause analysis. Collaborate with Risk, Finance, Regulatory, Business, and Technology stakeholders while mentoring junior team members.

Supports recovery and stabilization of complex enterprise technology projects. Responsibilities include delivery governance, sprint coordination, schedule, cost and quality tracking, RAID management, risk mitigation, executive reporting, compliance, stakeholder coordination, team coaching, and continuous improvement. The role requires hands-on Workday Learning experience, enterprise platform delivery knowledge, Agile and systems integration principles, PMO support, workforce readiness tracking, and the ability to resolve technical and project-level delivery challenges.

Designs and supports enterprise data platforms, ETL/ELT pipelines, Oracle databases, data warehouses, and risk and regulatory reporting solutions. Responsibilities include SQL/PLSQL development, data integration, quality, reconciliation, governance, production support, incident resolution, automation, batch scheduling, and regulatory reporting. The role partners with Risk, Finance, Compliance, Business, and Technology stakeholders while providing technical leadership and mentoring.

Design, develop, and support enterprise data platforms, ETL/ELT pipelines, Oracle and SQL/PLSQL solutions, data warehouses, and risk and regulatory reporting systems. Provide production support, troubleshoot batch and data issues, optimize performance, automate validation and reconciliation, and ensure data quality, governance, lineage, and audit readiness. Collaborate with Risk, Finance, Regulatory, Business, and Technology stakeholders while providing technical leadership and mentoring.

Lead and manage global IT infrastructure as a product: plan roadmaps, run BAU services, deliver cloud migrations, manage networks/servers/security, lead Wintel/Desktop/DevOps teams, oversee budgets, KPIs, and on-call support to ensure stability, scalability and compliance.

Leads full-stack software development across analysis, design, testing, deployment, operation, and maintenance. Writes production-ready, testable code; designs scalable, reliable, and high-performing systems; performs failure analysis; conducts code reviews; and ensures compliance, security, and reliability standards. Collaborates across product teams, mentors junior engineers, supports agile and DevOps practices, resolves technical issues, and contributes to continuous improvement and digital transformation initiatives.

Leads full-stack software development across design, development, testing, operation, and maintenance. Writes production-ready, testable code; defines scalable, reliable, and performant designs; conducts code reviews; analyzes failures; and promotes software reliability, security, compliance, and DevOps best practices. Collaborates across product teams, mentors junior engineers, communicates blockers, and contributes to digital transformation and continuous improvement.

Designs, develops, tests, operates, and maintains full-stack software products. Owns production-ready code, scalable architecture, reliability, performance, security, and compliance. Performs failure analysis, code reviews, and operational improvements while following Agile and DevOps practices. Collaborates with product teams, vendors, and customers; mentors junior engineers; communicates blockers; and contributes to technical strategy, innovation, and continuous improvement.

Owns availability, resilience, monitoring, performance, capacity, incident response, disaster recovery, deployments, vulnerability remediation, and cost optimization for critical Azure audit applications. The role applies DevOps practices, operates containerized cloud-native workloads, maintains documentation and compliance evidence, and leads a globally distributed infrastructure team. Participation in a 24x7x365 on-call rotation is required, along with collaboration across engineering, security, architecture, cloud platform, and business teams.

Leads customer engagement and AI domain architecture for a bank, defining target-state architectures, AI-first roadmaps, governance frameworks, and enterprise technology strategies. Designs secure, scalable CRM, digital, data, workflow, and core-platform solutions using Dynamics 365, Power Platform, cloud, microservices, and AI. Provides design authority, oversees architecture reviews, drives modernization and automation, influences senior stakeholders, develops investment cases, and promotes DevOps and architectural excellence.

Seeking a Senior Software Developer with expertise in Generative AI and Agentic Workflow development, responsible for building multi-agent AI systems and cloud-native solutions.