Overview
Embedded DevOps Engineer working closely with a product development team to get services production-ready in GCP, enabling CI/CD, observability, and operational readiness so services can be deployed, supported, and run reliably in production.
What you'll do
- Work embedded with product teams to enable safe and repeatable deployments from DEV to PROD, including application releases and infrastructure changes.
- Build, improve, and maintain CI/CD pipelines using GitOps principles and ensure teams follow standard guardrails.
- Develop and maintain application-specific Infrastructure as Code (IaC) to deploy services (containers/VMs, secrets, load balancers, certs) using reusable platform components.
- Act as first responder for production incidents for the applications you support; drive operational concerns to closure in partnership with SRE/ROC and development teams.
- Improve operational efficiency by automating repetitive tasks and contributing to self-service frameworks for developers.
- Identify gaps and drive improvements across reliability, scaling, automation, and cost optimisation for your product area.
- Partner with architects/platform teams to review architectures and ensure solutions meet cloud readiness and operational standards.
What you'll need
- B.Tech/M.Tech in Computer Science.
- 4-6 years of experience.
- High ownership and clear communication; comfortable working embedded with product teams.
- GCP (3+ years) in production environments.
- Strong Kubernetes / GKE experience running and supporting production workloads.
- Docker and container build/release patterns (hands-on).
- CI/CD with GitHub Actions (build, deploy and troubleshooting).
- Terraform (IaC) for infrastructure delivery.
- NGINX and Helm (Ingress basics, chart usage/standardisation).
- Solid cloud networking (VPCs, firewall rules, ingress/egress).
Nice to have
- Product company experience.
- Fintech/domain experience.
- Cloudflare exposure.
- Observability tools: Prometheus / Grafana / Dynatrace (or similar).
- ArgoCD / GitOps tooling experience.
- Scripting (Python).
- Java / Spring Boot support experience.
- Exposure to AI tools / AI agents to improve site reliability.
Details
- Location: Bangalore (Ecospace).
Read the full description and apply on the company’s own careers page.