Top Tech Jobs & Startup Jobs in Chennai

Build and operate multi-cloud infrastructure across AWS and Azure, maintain Kubernetes clusters and Helm deployments, and develop GitOps, CI/CD, and infrastructure-as-code automation. Improve reliability through observability, SLI/SLO tracking, incident response, capacity planning, cost optimization, and resilience initiatives. Participate in on-call rotations, postmortems, documentation, and mentoring while supporting high-traffic payments, loyalty, and fuel-pricing platforms.

Manage and optimize enterprise AWS cloud infrastructure, including EC2 and RDS, while ensuring availability, performance, security, compliance, and cost efficiency. Monitor systems, respond to alerts, lead incident response and root cause analysis, perform deployments and security patching, and maintain operational documentation. Serve as a customer-facing communication lead by running governance meetings, providing status updates, coordinating stakeholders, and driving remediation and technical debt reduction.

The DevOps Engineer III designs and operates cloud-native platforms, CI/CD and GitOps workflows, Kubernetes environments, reusable Terraform/OpenTofu infrastructure, and engineering automation. Responsibilities include AWS infrastructure implementation, observability, complex troubleshooting, reliability improvements, AI-enabled automation, developer self-service, and platform enablement. The role mentors engineers, leads technical workstreams, contributes to design decisions, and participates in operational readiness and on-call activities.

Provides enterprise-level architectural and technical leadership for cloud and platform engineering across AWS and Azure. Defines standards and reusable patterns for Terraform/OpenTofu, GitOps, Kubernetes, CI/CD, automation, governance, observability, security, reliability, FinOps, and developer self-service. Leads cross-team initiatives, architecture reviews, platform modernization, and AI-enabled DevOps capabilities while mentoring engineers and influencing technical direction as a senior individual contributor.

Own the mobile product backlog and translate roadmap initiatives into engineering-ready PRDs, user stories, acceptance criteria, and release plans. Partner with product managers, engineering, design, customers, and support to define Mobile Engagement Manager and platform capabilities. Lead backlog refinement, sprint planning, demos, documentation, prioritization, and release communications while using AI-assisted workflows to accelerate requirements analysis and delivery.

Administer, monitor, and optimize enterprise infrastructure across on-premises and AWS cloud environments in a 24/7 NOC. Responsibilities include incident resolution, system maintenance, networking, IAM, database access, cloud operations, backups, troubleshooting, and AI-assisted incident analysis. The role supports Windows servers, Active Directory, Okta, SQL, AWS, monitoring tools, security controls, and stakeholder communications while maintaining availability and operational standards.

Designs, builds, and deploys AI-powered, cloud-native POS systems for retail and hospitality. Responsibilities include integrating LLMs and generative AI, developing agentic workflows, implementing real-time analytics and automation, establishing evaluation and safety frameworks, and supporting high-availability transactional systems. The role collaborates across product, UX, operations, and business teams while mentoring engineers on secure AI architecture, payment handling, observability, and resilient deployments.

Own and prioritize the Loyalty product backlog, translate customer and business needs into user stories and acceptance criteria, support Agile sprint ceremonies, collaborate with engineering and stakeholders, manage releases, and document features. The role also uses AI-assisted workflows for requirements analysis, documentation, and backlog preparation while balancing new development with maintenance priorities.

Builds and supports CI/CD pipelines, AWS infrastructure, Terraform configurations, Ansible automation, Docker containers, Kubernetes workloads, and monitoring solutions. Troubleshoots infrastructure, deployment, networking, and application issues across multiple environments; automates repetitive operational tasks; supports engineering teams with reusable DevOps solutions and developer self-service capabilities. The role also participates in incident response, root cause analysis, documentation, peer reviews, on-call support, and knowledge sharing.

Senior data engineer responsible for designing, building, and optimizing scalable cloud-based data pipelines and lakehouse solutions on AWS. Lead complex integrations, implement data modeling and governance, promote engineering best practices, automate infrastructure and CI/CD, mentor engineers, and collaborate with stakeholders to deliver reliable analytics and BI solutions.