Senior DevOps Engineer

Location: Noida, India

Department: Digital

Experience: 3-4 Years

Skills: Iac, ci/cd, Docker, prometheus, grafana, Security, kubernetes, cloud, devops, AWS

• Design, build, and maintain cloud infrastructure (AWS/GCP/Azure) using IaC (Terraform/Pulumi/CloudFormation)
• Architect and manage CI/CD pipelines for application and ML model deployment
• Build and maintain Kubernetes clusters; manage containerized workloads for services and ML inference
• Own observability stack — logging, metrics, tracing, alerting (Prometheus, Grafana, ELK/EFK, Datadog)
• Support ML lifecycle infrastructure: feature stores, model registries, training pipelines, GPU cluster management
• Manage GPU/accelerator provisioning and cost optimization (spot instances, autoscaling, reserved capacity)
• Drive security best practices — IAM, secrets management, network policies, compliance (SOC2/ISO)
• Lead incident response, on-call rotations, and postmortems; drive SRE culture (SLOs/SLIs)
• Mentor junior engineers; collaborate with data science/ML teams on infra requirements
• Manage multi-region/multi-cloud deployments and disaster recovery strategy
• Own capacity planning, cost governance (FinOps) across cloud + ML compute

• Deep expertise in at least one hyperscaler (AWS/GCP/Azure), working knowledge of a second
• Compute, networking (VPC, load balancers, CDN), storage, IAM

• Terraform / Pulumi / CloudFormation
• Ansible / Chef / Puppet
• GitOps (ArgoCD/Flux)

• Docker, Kubernetes (EKS/GKE/AKS or self-managed)
• Helm, Kustomize
• Service mesh (Istio/Linkerd) — good to have

• Jenkins, GitLab CI, GitHub Actions, ArgoCD, CircleCI

• Prometheus, Grafana, Alertmanager
• ELK/EFK stack, Loki
• Datadog/New Relic
• Distributed tracing (Jaeger/OpenTelemetry)

• Vault/Secrets Manager, IAM policy design
• Network security, container security (Trivy, Falco)
• Compliance frameworks

• Python (strong — for automation & ML tooling integration)
• Bash/Go (good to have)

• SQL/NoSQL operations at scale (Postgres, MongoDB, Redis)
• Kafka/RabbitMQ/Pub-Sub for streaming ML data pipelines

• Certifications: AWS/GCP/Azure Solutions Architect, CKA/CKAD
• Experience running LLM inference infrastructure at scale (vLLM, TGI, quantization-aware serving)
• Experience with cost optimization for large-scale GPU training
• Contributions to open-source infra/MLOps tooling