Top DevOps Jobs in Chennai

Leads full-stack software development across design, coding, testing, deployment, operation, and maintenance. Defines scalable, reliable, and performant architectures; conducts code reviews; analyzes failures; and drives security, compliance, and software reliability practices. Collaborates with product teams, vendors, and customers, mentors junior engineers, prioritizes incremental delivery, resolves blockers, and contributes to the bank’s technology transformation through continuous improvement and emerging technologies.

Designs, develops, tests, operates, and maintains software products. Owns full-stack delivery, writes production-ready code, applies scalable and reliable architectural practices, analyzes failures, conducts code reviews, and ensures compliance and security standards. Collaborates across product teams, mentors junior engineers, supports agile and DevOps practices, communicates blockers, and contributes to continuous improvement and digital transformation initiatives.

Design, develop, test, operate, and maintain production software products. Own full-stack development, write reliable and testable code, apply architectural best practices, conduct code reviews, analyze failures, and improve system reliability. Collaborate across product teams, follow security and compliance standards, support agile and DevOps practices, mentor junior engineers, and contribute to technical strategy and continuous improvement.

Design, develop, test, operate and maintain production software with full-stack ownership. Ensure scalable, reliable, secure architectures, perform code reviews, mentor junior engineers, drive DevOps and SRE practices, and collaborate across product teams to deliver incremental value.

Designs, develops, tests, operates, and maintains production software. Owns full-stack delivery, writes reliable and testable code, applies architectural best practices, analyzes failures, conducts code reviews, and follows compliance and security standards. Collaborates with engineers, product owners, scrum masters, vendors, and customers while supporting agile development, DevOps practices, continuous improvement, and incremental delivery.

Build, maintain, test, and optimize scalable data architectures and pipelines. Extract, transform, and load data into platforms for analysts and scientists, integrate new data sources, improve data quality and performance, perform root cause analysis, and support DevOps practices. Collaborate with technology, architecture, and business stakeholders to develop cost-effective, secure, governed data solutions that drive customer value.

Designs, develops, tests, operates, and maintains full-stack software products. Responsibilities include writing production-ready code, creating scalable and reliable architectures, analyzing failures, conducting code reviews, applying security and compliance practices, and improving software reliability. The role collaborates across product teams and supports agile delivery, DevOps principles, customer experience, and continuous technology transformation.

Design, develop, test, operate, and maintain full-stack software products. Own production-ready code, architectural design, reliability, scalability, performance, security, and compliance. Analyze failures, conduct code reviews, mentor junior engineers, and collaborate with product teams, vendors, and customers. Contribute to agile delivery, DevOps practices, technical strategy, continuous improvement, and U.S. Bank’s digital transformation initiatives.

Leads full-stack software engineering across design, development, testing, operation, and maintenance. Owns production-ready, scalable, reliable, and secure software solutions; analyzes failures and drives operational improvements. Conducts code reviews, applies architectural and engineering best practices, supports compliance, mentors junior engineers, collaborates with product teams and vendors, and contributes to continuous improvement and technology transformation initiatives.

Lead and mentor software engineers, manage Agile sprint planning and delivery, review technical designs and architecture, remove blockers, improve engineering quality and processes, and coordinate with Product, Operations, and Leadership. Participate in hiring, onboarding, and performance management while balancing technical leadership with people and project management.

Design, build, test, deploy, and maintain scalable Java-based microservices. Implement event-driven systems with Apache Kafka, develop RESTful APIs, deploy on Microsoft Azure, ensure performance, reliability, and CI/CD, conduct code reviews, and collaborate across Product, QA, DevOps, and Architecture teams to support production and continuous improvement.

Lead design and implementation of enterprise solutions on SAP BTP; define architecture standards, integration patterns (SAP Integration Suite/APIs), and governance; integrate AI/ML/LLMs into SAP ecosystems; drive DevOps, CI/CD, containerization, monitoring, and cloud operations; run architecture reviews and workshops; mentor teams and ensure secure, scalable, maintainable solutions.

Designs and engineers secure, scalable, high-performance software focused on customer outcomes. The role defines architecture and technical roadmaps, oversees engineering solutions, develops automation for build, testing, and deployment, and contributes hands-on code. It partners with architects and software engineers, leads technical strategies in a matrix environment, applies Agile and DevOps practices, and improves software engineering standards across the business.

Design and implement scalable automation solutions using Python, infrastructure as code, CI/CD, cloud platforms, and DevOps practices. Define automation standards, best practices, and roadmaps while driving value realization and continuous improvement. Apply GenAI frameworks, observability tools, and SRE practices. Mentor engineers and lead stakeholder collaboration across platforms including AWS, Azure, and GCP.

Design and implement scalable automation solutions using Python, cloud platforms, IaC, CI/CD, GitOps, GenAI frameworks, and observability tools. Establish automation standards, best practices, and roadmaps while driving value realization and continuous improvement. The role also requires SRE practices, mentoring, stakeholder leadership, and delivery of high-performing software solutions across diverse platforms.

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.