DevOps Platform Engineer

sanofi

Hyderabad NM Years Exp Posted 10d ago

Job Description

CI/CD and Delivery Pipelines

  • Design, build, and maintain reusable CI/CD pipelines and pipeline templates using GitHub Actions and Azure DevOps.
  • Consolidate and migrate legacy Jenkins and GitLab pipelines onto the strategic toolchain.
  • Integrate automated testing, code quality, and security scanning into every stage of the delivery lifecycle.

Infrastructure as Code and Cloud Automation

  • Build and maintain Terraform modules and Ansible content for repeatable, peer-reviewed infrastructure provisioning across Azure and AWS.
  • Implement policy as code to enforce security, tagging, cost, and configuration standards at deployment time.
  • Replace ticket-based requests with self-service automation that product teams can consume directly.

Container and Kubernetes Platforms

  • Engineer and operate container platforms on Kubernetes, AKS, EKS, and OpenShift.
  • Build and maintain Helm charts, GitOps workflows, ingress, autoscaling, and workload onboarding patterns.
  • Support product teams containerizing and migrating applications onto the platform.

Developer Experience and Self-Service

  • Contribute to the internal developer platform and developer portal, including Backstage templates, scaffolding, and golden paths.
  • Write and maintain clear documentation, reference implementations, and onboarding guides.
  • Turn recurring pain points raised by product teams into prioritized platform improvements.

Security, Compliance, and Supply Chain

  • Embed static and dynamic analysis, dependency scanning, and SBOM generation into pipelines using SonarQube, Snyk, and equivalent tooling.
  • Implement secrets and certificate management using HashiCorp Vault, CyberArk, and cloud-native key services.
  • Remediate vulnerabilities and misconfigurations surfaced by cloud security posture tooling.

Reliability and Operational Support

  • Own the availability, performance, and capacity of the platform services in scope.
  • Instrument platform services using Datadog, Dynatrace, Prometheus, Grafana, Splunk, and OpenTelemetry.
  • Contribute to incident response, root-cause analysis, problem management, and corrective actions.

Technical Craft and Engineering Practices

  • Write clean, tested, peer-reviewed automation code managed in Git using trunk-based practices.
  • Use AI-assisted engineering tools such as GitHub Copilot and Claude Code to accelerate development, testing, and documentation, applying appropriate review and technical judgement.
  • Continuously reduce toil, technical debt, and duplication across the platform estate.

Collaboration and Ways of Working

  • Work within an agile product team with a shared backlog, defined customers, and service-level objectives.
  • Partner with Cybersecurity, Cloud, Architecture, and Operations teams on approved engineering patterns.
    • Mentor less experienced engineers and share knowledge through demonstrations, guilds, and documentation.

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