Lead DevOps Engineer - Cloud Infrastructure (8-15 yrs)

Lead Devops Engineer [Looking for Bangalore based candidates & immediate joiners only]

How you will make an impact :

- Strategy, Roadmap & Vision build the roadmap for devops and observability in Data & AI teams.

- Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation), packaging reusable modules for AWS, Azure or GCP.

- Own CI/CD pipelines in GitHub Actions, Jenkins or GitLab CI build, test, security scanning, blue-green or canary deploys, and automated rollback.

- Operate Kubernetes clusters (EKS, AKS or GKE) and container workloads with LENS, Helm, ArgoCD or Flux including autoscaling, ingress, secrets and policy.

- Build observability with Prometheus, Grafana, OpenTelemetry, ELK or Datadog metrics, logs, traces, dashboards and SLO-driven alerting.

- Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy-as-code (OPA, Checkov) and PCI-aware patterns.

- Lead incident response on-call, runbooks, blameless post-mortems, and continuous reliability work to drive down MTTR and toil.

- Partner with developers on local dev experience, golden paths, internal platform tooling and developer self-service.

- Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.

- Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs and product partners across environments.

What you need to be successful :

- 8+ years of professional DevOps, SRE or platform-engineering experience operating production services.

- 3+ years of hands-on work building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI or CircleCI) and managing infrastructure as code (Terraform, Pulumi or CloudFormation).

- Working knowledge of Kubernetes (EKS, AKS or GKE) and container tooling (Docker, Helm, ArgoCD or Flux).

- Strong scripting skills in Python, Bash or Go; solid SQL skills and strong comfort with at least one cloud platform (AWS, Azure or GCP).

- Hands-on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK or Datadog.

- Solid understanding of cloud security and compliance practices, particularly in PCI-compliant or regulated environments.

- Proven ability to work independently and within a team, managing priorities across concurrent projects and time zones, including on-call rotations.

- Strong written and verbal communication skills; able to work effectively with both technical and non-technical stakeholders.

Bonus Skills :

- Experience operating Dataiku DSS, Snowflake, or other large-scale data and analytics platforms in production.

- Experience with service meshes (Istio, Linkerd), API gateways, and zero-trust networking.

- Experience with policy-as-code (OPA / Rego, Checkov, tfsec) and supply-chain security (SBOM, Sigstore).

- Experience with FinOps practices and cloud cost optimization.

- Experience supporting ML or LLM workloads GPU scheduling, model-serving infra, vector databases or LangSmith / Langfuse.

- Experience with database administration / reliability for PostgreSQL, MySQL or Snowflake.

- AWS / Azure / GCP Professional, CKA / CKAD, or HashiCorp Terraform certification.

- Experience in loyalty, martech, adtech or a comparable data-rich B2B domain.