Senior DevOps Engineer

Overview

Role overview **
You will own core platform and DevOps responsibilities across **AWS and GCP, ensuring our agentic AI and data workloads run securely, reliably, and efficiently. You’ll design cloud infrastructure, improve developer experience, and drive automation across the SDLC.

Key responsibilities

• Design, build, and maintain cloud infrastructure on AWS and GCP using Infrastructure as Code (Terraform / Pulumi / CloudFormation).
  
• Own Kubernetes‑based platforms (EKS, GKE, or self‑managed clusters), including cluster configuration, upgrades, autoscaling, and add‑ons.
  
• Implement and manage CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, ArgoCD, etc.) for microservices and AI workloads.
  
• Build secure, scalable networking: VPCs/VPC‑SC, subnets, peering, private endpoints, ingress/egress controls, and service mesh where appropriate.
  
• Set up and operate observability stacks: logging, metrics, tracing (e.g. Prometheus, Grafana, Loki, OpenTelemetry, Datadog, New Relic).
  
• Implement security best practices: IAM roles & policies, secrets management, key management (KMS), image scanning, and compliance controls.
  
• Optimise performance and cost for compute, storage, and network workloads across clouds.
  
• Support data and AI teams with infra for GPUs, model serving, batch jobs, and data pipelines (e.g. managed Kafka, Pub/Sub, Dataflow, EMR, BigQuery, Redshift).
  
• Create internal platform tooling and self‑service workflows to improve developer productivity (templates, CLIs, golden paths).
  
• Participate in on‑call rotations, incident response, and post‑incident reviews; drive reliability improvements (SLOs, error budgets, capacity planning).

*Required experience and skills *

• 6+ years in DevOps / SRE / Platform Engineering roles running production systems.
  
• Deep hands‑on experience with both AWS and GCP, including core services (compute, networking, storage, IAM).
  
• Strong Kubernetes experience (EKS/GKE): deployments, stateful workloads, Helm/Kustomize, autoscaling, and troubleshooting.
  
• Proficiency with Infrastructure as Code (Terraform strongly preferred) and Git‑based workflows.
  
• Strong CI/CD experience, including environment promotion strategies, blue/green or canary deployments, and rollback patterns.
  
• Solid Linux, containers, and networking fundamentals (TCP/IP, DNS, TLS, load balancing, service discovery).
  
• Experience implementing monitoring, logging, alerting, and SLOs for distributed systems.
  
• Strong scripting skills (Python, Go, or Bash) for automation and tooling.
  
• Practical understanding of cloud security, including least‑privilege IAM, network segmentation, and secrets management.
  
• Excellent collaboration skills with dev teams, plus a pragmatic approach to reliability vs. delivery speed.

*Nice to have *

• Experience operating AI/ML infrastructure (GPU clusters, model serving, feature stores, vector databases).
  
• Experience with service meshes (Istio/Linkerd), API gateways, or zero‑trust networking patterns.
  
• Background with Argo (CD/Workflows), Crossplane, or other platform engineering tools.
  
• Prior experience in highly regulated or security‑sensitive environments (finance, healthcare, enterprise SaaS).
  
• Experience mentoring engineers and contributing to platform strategy/roadmaps."