R&D DevOps Engineer – GPQSS Digital- IDC

Overview

Design, build, automate and operate secure, scalable and reliable engineering platforms that let development teams deliver cloud-native applications faster and with higher quality.

What you'll do

• Design, build and maintain internal developer platforms providing reusable services, templates, pipelines and automation for application teams.
• Create and manage cloud-native platform components on Azure, AKS, Kubernetes, Docker and container registries.
• Standardize CI/CD pipeline templates using Azure DevOps for build, test, security scanning, deployment and release automation.
• Implement Infrastructure as Code using Terraform, Helm, Ansible or similar tools to provision and manage consistent environments.
• Enable GitOps and configuration-driven deployment practices for repeatable, auditable and scalable platform operations.
• Build self-service capabilities for developers, including environment provisioning, deployment templates, monitoring dashboards and operational runbooks.
• Improve platform reliability through observability, logging, metrics, alerting, SLOs, incident analysis and continuous operational improvements.
• Integrate platform security controls including secrets management, container security, dependency scanning, image scanning and policy enforcement.
• Support DevSecOps practices by integrating tools such as SonarCloud, Black Duck, MetaDefender or equivalent security and quality gates into delivery pipelines.
• Implement authentication, authorization, API gateway, ingress, service mesh and secure connectivity patterns for platform services.
• Partner with application teams to troubleshoot deployment, performance, networking, availability and operational issues.
• Define platform standards, reusable architecture patterns, documentation and best practices to improve developer productivity and governance.
• Evaluate and introduce automation, AI-assisted development and platform engineering improvements that reduce manual effort and accelerate delivery.

What you'll need

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering or a related field.
• Minimum 7+ years of experience in DevOps, cloud engineering, platform engineering, infrastructure automation or cloud-native application delivery.
• Strong hands-on experience with Azure, AKS, Kubernetes, Docker, Helm, container registries and cloud-native deployment patterns.
• Strong experience in Azure DevOps pipeline design, YAML pipelines, release automation, branching strategies and reusable pipeline templates.
• Hands-on experience with Infrastructure as Code using Terraform, Ansible, Helm, ARM/Bicep or equivalent tools.
• Good understanding of platform engineering concepts such as developer portals, golden paths, self-service automation, reusable templates and paved-road standards.
• Experience with GitOps tools and practices such as Argo CD, Flux or equivalent configuration-driven deployment approaches.
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, Azure Monitor, Application Insights or similar platforms.
• Good understanding of networking, ingress controllers, DNS, certificates, load balancing, API gateways and secure service-to-service communication.
• Experience with secrets management, identity, access control, OAuth, JWT, OpenID Connect, Keycloak, Azure Key Vault or equivalent solutions.
• Knowledge of DevSecOps, secure SDLC, threat modeling, vulnerability management, dependency scanning, image scanning and compliance readiness.
• Strong analytical, troubleshooting, automation and problem-solving skills with the ability to resolve complex platform and production issues.
• Strong communication, collaboration, ownership, documentation and stakeholder management skills.
• Ability to work independently, guide engineering teams and drive adoption of platform standards and best practices.
• Proficiency in English, both speaking and writing.

Nice to have

• Experience supporting event-driven or distributed systems using Kafka, RabbitMQ, background jobs or similar integration patterns.
• Good understanding of application architecture, microservices, REST APIs, .NET Core, Angular or full stack development concepts.
• Experience with AI-assisted development tools such as GitHub Copilot.

Details

• Location: Chennai, Tamil Nadu, India.
• Employment type: Full time.
• Not remote.
• Pre-employment background checks, which may include enhanced or additional screening for certain roles.