Top DevOps Jobs in Chennai

Lead end-to-end delivery of enterprise conversational AI platforms, including chatbots, voice bots, and virtual assistants. Design scalable cloud-native solutions using Amazon Lex, Dialogflow, CI/CD, Terraform, and responsible AI practices. Drive Agile execution, stakeholder alignment, operational excellence, and AI adoption while mentoring engineers and technical leads. Partner with product, architecture, security, and business teams to deliver secure, compliant, and innovative AI solutions.

Leads engineering delivery for enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native development, CI/CD, Terraform, DevSecOps, Responsible AI, and AI adoption. Partners with product, security, architecture, and business stakeholders while managing risks and dependencies. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.

Designs, implements, and manages non-relational databases on Google Cloud, including MongoDB, Firestore, Bigtable, Memorystore, and Neo4j. Responsibilities include Terraform-based infrastructure, CI/CD, observability with Dynatrace, performance optimization, migrations, high availability and disaster recovery, security, cost optimization, and developer enablement. The role also establishes SRE practices, database monitoring, IAM and OAuth2 controls, AI agent-to-data tracing, and production support.

Leads DevOps implementation by building and maintaining Kubernetes infrastructure, Terraform-based environments, CI/CD pipelines, and cloud platforms across GCP and AWS. Executes production deployments and cluster upgrades, manages IAM, service accounts, SSL certificates, and CloudFront, and troubleshoots infrastructure and networking issues. Tracks operational metrics, improves reliability and security, and collaborates with development teams to optimize software delivery. Requires availability for nights, weekends, and variable schedules.

Own and grow enterprise customer accounts across India by developing territory and strategic account plans, expanding adoption of Atlassian’s SaaS portfolio, and consistently exceeding sales targets. Coordinate with solution engineers, customer success, technical account managers, channel partners, and marketing teams. Build executive relationships, lead consultative solution selling, uncover expansion opportunities, and support cloud migration and business outcomes.

Lead full-lifecycle Oracle Transportation Management implementations, including requirements gathering, solution design, configuration, testing, deployment, integrations, migration, troubleshooting, and optimization. Configure OTM modules, automation agents, workflows, and custom events while supporting cloud and on-premise environments. Collaborate with stakeholders, manage ERP/WMS integrations, create technical documentation, and guide junior consultants. Contribute to Agile and DevOps delivery practices, including CI/CD and version control.

Design, build, maintain, debug, and optimize high-volume mainframe business logic. Refactor legacy systems to support cloud and mobile integrations, extract business logic for modernization, and develop scalable, robust software using Java, microservices, Spring Boot, Python, AWS, databases, containers, and messaging technologies.

Develop, test, deploy, support, and optimize enterprise RPA solutions using Blue Prism. Responsibilities include automation design, reusable object and process development, Control Room administration, queue and bot monitoring, production troubleshooting, exception handling, root cause analysis, environment migrations, platform upgrades, stakeholder collaboration, testing, documentation, and L2/L3 support.

Develops, tests, deploys, and maintains software in cloud-based, microservices environments. Builds REST APIs, integrates third-party systems, works with structured and unstructured telemetry data, and applies ML/AI algorithms. Supports distributed systems, automation, CI/CD, code reviews, debugging, refactoring, documentation, and software delivery across Agile teams and multiple stakeholders. The role also contributes to prototypes, deployments, automated testing, and collaboration with product teams.

Develop and test AI-enabled software services in a microservices environment. Build APIs, process structured and unstructured telemetry data, apply ML/AI algorithms, and support distributed systems, cloud deployments, automation, CI/CD, testing, documentation, code reviews, and refactoring. Collaborate with product teams and stakeholders across software delivery phases while working with AWS, GCP, Azure, containers, and SQL/NoSQL data stores.

Develop and test software components for cloud-based and internet-related products in a microservices environment. Build APIs, process telemetry and structured or unstructured data, apply ML/AI algorithms, and support distributed systems, automation, deployments, testing, documentation, and code reviews. Collaborate with product teams and stakeholders throughout the software delivery lifecycle using Agile, DevOps, CI/CD, and cloud infrastructure practices.

Engineer, design, test, deploy, maintain, and optimize secure, high-performance software, scripts, tools, integrations, and data migration solutions. Collaborate with engineers, architects, and business analysts across the full software lifecycle. The role requires strong Microsoft Dynamics 365 expertise, Azure integration technologies, SQL Server, Dataverse, DevOps, Agile practices, and at least five years of software engineering, design, and architecture experience.

Build, maintain, test, and optimize scalable data architectures and platforms. Extract, transform, and load data for analysts and scientists; source and integrate new data; apply data quality testing, cleansing, monitoring, and modelling. Collaborate with technology and architecture teams, adopt DevOps practices, resolve root causes, manage platform costs, and develop knowledge of data structures and metrics.

Leads service and product development strategy and execution for AI services in a global technology-services environment. Guides Agile delivery, technical architecture, DevOps adoption, quality assurance, innovation, performance measurement, and continuous improvement. Collaborates with cross-functional, geographically dispersed teams and stakeholders to develop customer-centric offerings, build consensus, support operational excellence, and manage service or product development teams.

Leads the design, development, testing, deployment, and maintenance of AI-enabled software in cloud-based, microservices environments. Develops RESTful APIs, distributed systems, and ML/AI solutions using structured and unstructured data. Collaborates across teams, performs code reviews, automates testing and deployments, refactors code, and documents technical and operational procedures. Requires expertise in cloud platforms, programming, databases, containers, CI/CD, Agile practices, and full software delivery lifecycles.

Leads the design, development, testing, deployment, and refactoring of cloud-based software in microservices environments. Develops APIs, distributed systems, automation, and ML/AI solutions using structured and unstructured data. Collaborates across geo-distributed teams, reviews code, supports CI/CD and automated testing, and contributes to technical documentation and operational procedures.

Designs, develops, tests, operates, and maintains production software products. Owns full-stack delivery, creates scalable and reliable technical designs, analyzes failures, improves operations, conducts code reviews, and ensures compliance and security best practices. Collaborates across product teams, contributes to digital transformation and continuous improvement, communicates blockers, and mentors junior engineers while applying software engineering, architectural, and DevOps best practices.

Develop and maintain scalable web applications using Java, Spring Boot, SQL, and cloud technologies. Collaborate with Product and Design teams in an Agile/Scrum environment, define end-to-end solutions, conduct code reviews, write comprehensive tests, monitor and optimize application performance, troubleshoot issues, and contribute to architecture and continuous improvement. The role may also involve front-end development, CI/CD, DevOps, containerization, and AWS services.

Designs and governs enterprise multi-cloud architectures across AWS and GCP. Builds self-service capabilities, automation, and Infrastructure as Code; maintains cloud infrastructure documentation; manages IAM, security, compliance, monitoring, maintenance, incident recovery, and system upgrades. Partners with DevOps and application development teams to provision infrastructure, improve operational excellence, and resolve complex cloud issues in a globally distributed environment.

Lead the strategy, roadmap, and adoption of an enterprise DevOps platform portfolio serving 20,000–30,000 users. Manage Product Owners, coordinate Jira, Confluence, GitHub, GitHub Copilot, and related services, and balance business value, security, compliance, usability, and platform sustainability. Drive standardization, governance, secure-by-design practices, cross-functional alignment, and measurable productivity outcomes across a large regulated organization.

Lead the strategy, roadmap, prioritization, adoption, governance, and continuous improvement of an enterprise DevOps platform portfolio serving 20,000–30,000 users. Manage and develop Product Owners, integrate Jira, Confluence, GitHub, GitHub Copilot, and related services, and align platform delivery with security, compliance, architecture, and business goals. Drive enterprise-scale adoption, standardization, usability, and sustainable platform operations while influencing senior stakeholders across technology and business functions.

Develop and operate scalable software infrastructure using AWS, Terraform, and CloudFormation. The role bridges development and infrastructure teams, automates deployment pipelines, supports monitoring and alerting, maintains shared middleware components, and coaches developers on operating their software. Responsibilities include infrastructure updates, system administration, networking, configuration management, and ensuring high availability of digital products.

Designs and maintains scalable marketplace frameworks and platform services, spending significant time coding, reviewing, debugging, optimizing, and monitoring applications. Provides technical leadership and mentorship, makes architectural decisions, collaborates with product and UX teams, leads innovation initiatives, and coordinates project delivery. The role focuses on Java and React-based marketplace APIs, distributed systems, microservices, cloud-native technologies, developer productivity, and engineering excellence.

Design, automate, and operate large-scale distributed systems. Build tooling for availability, scalability, and efficiency. Partner with engineering teams on CI/CD, monitoring, incident management, and SRE practices; participate in on-call rotations.

Supports global LIMS and biobank SaaS platforms, integrations, data quality, cloud operations, automation, incident management, releases, and vendor coordination. Designs MuleSoft APIs, troubleshoots Snowflake and PostgreSQL data, scripts utilities in Python or Ruby, and improves operational reliability using AWS, ITIL, Agile practices, and emerging AI-enabled support tools.