Top DevOps Jobs in Chennai

Leads mainframe modernization and migration initiatives for large global clients. Develops transformation and re-platforming solutions, conducts discovery workshops, presents technical and business cases, advises executives, and partners with sales, consulting, operations, and product teams. Requires extensive mainframe expertise across legacy technologies, migration architecture, data modernization, cloud and hybrid environments, and enterprise hosting. The role also supports AI-driven modernization, technical documentation, project lifecycle management, and client relationship development.

Leads Guidewire PolicyCenter configuration, integration, customization, and SaaS migration initiatives. Develops Gosu applications, Jutro UI components, data models, business rules, APIs, messaging, and batch processes. Provides technical leadership, code reviews, mentoring, troubleshooting, root-cause analysis, and production support. Collaborates with stakeholders, architects, product owners, and Agile teams while supporting CI/CD, DevOps, automated testing, regulatory changes, and enterprise architecture standards.

Leads the design, delivery, and optimization of complex Guidewire PolicyCenter and Jutro solutions. Responsibilities include solution architecture, integrations, cloud migration, CI/CD, monitoring, performance, quality assurance, vendor coordination, Agile delivery, and technical documentation. Supervises and mentors Guidewire and Jutro engineering teams, manages capacity and performance, develops technical capabilities, and partners with stakeholders, architects, vendors, and business units to align technology solutions with enterprise objectives.

Engineers, tests, deploys, and maintains secure, scalable software, scripts, and tools across the full development lifecycle. Collaborates with engineers, architects, and business analysts in feature teams, contributing to requirements analysis, design, coding, testing, deployment, operations, automation, optimization, and software engineering best practices.

Designs, develops, tests, operates, and maintains production software products. The role owns full-stack engineering, creates scalable and reliable designs, analyzes failures, conducts code reviews, applies security and compliance practices, and supports software reliability. It also involves collaboration across product teams, continuous improvement, technical mentoring, and participation in agile and DevOps processes.

Design, develop, test, operate, and maintain software products. The role owns full-stack delivery, writes production-ready code, applies scalable and reliable architecture, analyzes failures, conducts code reviews, and follows security, compliance, and software reliability practices. The engineer collaborates across product teams, communicates blockers, supports agile delivery, and contributes to continuous improvement and technology transformation.

Designs, develops, and scales high-performance backend applications using Java and Spring Boot. Manages relational data with PostgreSQL and leverages GCP services, including Cloud SQL and Google Cloud Storage, for secure data storage and management. Applies DevOps practices to streamline CI/CD pipelines and support automated cloud deployments.

Develops scalable automated testing frameworks and test suites for cloud and big-data platforms. Responsibilities include Python/PySpark automation, SQL and service testing, manual and performance testing, CI/CD deployment, monitoring utilities, integration testing, and GenAI automation. The role collaborates with development, infrastructure, operations, and client teams while providing technical guidance and maintaining test documentation.

Designs, builds, and maintains high-volume mainframe business logic while modernizing legacy systems for cloud and mobile integration. Responsibilities include performance optimization, debugging complex system interactions, testing, extracting business logic for migration, and developing scalable software using modern architectures, databases, APIs, containers, and messaging systems.

Provides Level 3 engineering and operational support for a large-scale Red Hat Linux and GRID infrastructure environment. Responsibilities include resolving complex production incidents, root cause analysis, security hardening, vulnerability remediation, patching, compliance, Ansible automation, Chef configuration management, performance tuning, capacity planning, upgrades, disaster recovery, and technical leadership. The role collaborates with cross-functional infrastructure and security teams while serving as a Linux platform subject matter expert.

Designs, develops, tests, deploys, and maintains complex Java software solutions for semiconductor equipment. Owns feature development, defines architectures and test strategies, troubleshoots distributed systems, performs root-cause analysis, and participates in design and code reviews. Collaborates with product management, customers, and cross-functional teams while promoting engineering best practices, technical excellence, and continuous improvement. The role requires expertise in Spring Boot, microservices, event-driven architectures, Kubernetes, CI/CD, and modern software design.

Designs, develops, and supports enterprise integration solutions spanning EDI, REST APIs, middleware, messaging, file transfers, and platform services. Owns complex integration delivery, mapping, testing, deployment, troubleshooting, modernization, and production support. Contributes to architecture and design reviews, CI/CD, observability, security automation, performance optimization, documentation, and operational resilience. Provides code reviews, mentoring, technical guidance, and cross-team collaboration while applying modern engineering practices and enterprise integration standards.

Leads enterprise-wide data and AI strategy for drug development, including platform roadmaps, architecture, GenAI and agentic frameworks. Directs multidisciplinary engineering teams from prototype through compliant production delivery; establishes data governance, AI/ML controls, API and event-driven integration standards, and DevOps, DataOps, and MLOps practices. Oversees secure, traceable, monitored AI and RAG solutions while influencing technology choices, vendor partnerships, and engineering standards across the organization.

Leads enterprise Data and AI strategy for drug development, including platform investments, architecture, GenAI, agentic systems, governance, and production engineering standards. Oversees multidisciplinary teams delivering secure, compliant AI-native products, scalable data platforms, APIs, automated pipelines, and monitoring frameworks. Establishes controls for data integrity, ML governance, RAG reliability, security, and operational performance while mentoring engineers and influencing senior stakeholders.

Leads end-to-end test strategy, planning, execution, and delivery across multiple projects and releases. Manages QA teams, drives web, API, mobile, and automation testing, oversees environments and test data, and manages defects and release readiness. Partners with stakeholders, provides quality metrics and risk reporting, integrates automation with CI/CD, develops team capabilities, and ensures QA governance and continuous improvement.

Lead quality assurance for telecom and networking products through test planning, functional and non-functional testing, automation, API validation, release management, and defect tracking. Design testing frameworks using Playwright, JMeter, Rest Assured, TestNG, Cucumber, Java, and Python. Support CI/CD, Docker, Kubernetes, vulnerability testing, and DevOps practices while mentoring engineers and collaborating with development teams to improve test coverage and product reliability.

Develop and implement SAP BTP solutions using CAP (Node.js/Java) and RAP (ABAP), build CDS views and OData services, integrate S/4HANA and on-prem systems via SAP Integration Suite, develop in ABAP and Java, and connect backend services to Fiori/UI5 frontends using CI/CD and DevOps practices.

Leads platform-level execution of software and AI/ML systems across multiple engineering teams. Oversees shared infrastructure, DevOps, CI/CD, cloud-native architecture, cost optimization, system integration, and full software lifecycle delivery. Partners with product and data teams, guides architectural decisions, mentors engineers, manages stakeholders and technical initiatives, and drives system availability, scalability, maintainability, and continuous improvement.

Designs, develops, tests, and maintains custom software solutions, including customer integrations, APIs, automation tools, data migration utilities, and AI-enabled workflows. Builds REST and middleware integrations, supports healthcare technology workflows, ensures technical governance and documentation, and troubleshoots deployed solutions. Collaborates with analysts, architects, QA, support, and customer success teams while translating customer requirements into scalable, secure solutions. Participates in Agile development, code reviews, technical design, and innovation initiatives.

Own the full enterprise sales cycle for observability solutions, from prospecting and discovery through technical evaluations, negotiations, and account expansion. Build territory strategies, generate qualified pipelines, engage executive and technical stakeholders, develop value-based business cases, manage forecasts and CRM records, and achieve ARR targets. Collaborate with SDRs, solutions engineering, marketing, partners, and internal teams to navigate complex enterprise buying processes and drive new customer acquisition, cross-selling, and upselling.

Principal Engineer responsible for designing and developing secure, scalable, high-performance software and AI solutions for banking platforms. The role involves architecture governance, software engineering, automation, DevOps, Agile delivery, and collaboration with architects and engineering teams. Key AI responsibilities include generative and agentic AI on AWS, RAG, vector databases, agent memory, context management, guardrails, tool calling, logging, monitoring, and auditability.

Designs and engineers customer-focused software and AI solutions for banking platforms. Responsibilities include defining architectures and roadmaps, developing scalable and secure software, implementing generative and agentic AI using AWS, building RAG and vector database solutions, tuning agent memory, implementing guardrails and tool calling, and establishing logging, monitoring, auditability, automation, and DevOps practices.

Leads Odoo architecture, development, customization, integrations, upgrades, migrations, deployments, and production support for enterprise projects. Designs scalable solutions, reviews code, enforces security and performance standards, mentors developers, and collaborates with consultants and stakeholders. Oversees ERP integrations with APIs, marketplaces, payment gateways, logistics, e-commerce, and mobile applications. Drives technical documentation, estimation, troubleshooting, DevOps, and continuous improvement.

Design, develop, and manage cloud-native distributed systems, microservices, and platform components across the full software lifecycle. Lead architecture, Kubernetes platform engineering, CI/CD, test automation, observability, DevSecOps, reliability, and AI-powered engineering automation. Mentor engineers, drive technical standards, and collaborate cross-functionally. Serve additionally as Scrum Master for a SAFe agile team, supporting planning and delivery commitments.

Leads the design, development, modernization, and delivery of scalable full-stack customer account management applications. Builds Java and Spring Boot microservices, REST APIs, and React/Next.js interfaces; supports cloud-native migration, CI/CD, testing, performance optimization, and production reliability. Partners with stakeholders on complex integrations and business rules, contributes to architecture decisions, and mentors distributed engineering teams.