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Senior Cloud Ops Engineer – Grade II

Digital.ai
Chennai, IND
Full-time
Mid · 8+ years experience
Onsite
Discovered 3 days ago
awseksistiokubernetes

Full Job Posting

KEY RESPONSIBILITIES

  • Is considered a subject matter expert on the service across the board, with deep knowledge of its Kubernetes and AWS components
  • Designs, deploys and upgrades production EKS clusters and supporting AWS infrastructure using Infrastructure as Code
  • Leads automation and optimisation efforts to reduce toil, and measures the results
  • Drives cost, performance and capacity optimisation, including right-sizing, autoscaling and Spot and Savings Plans strategy
  • Owns reliability outcomes for major services, including SLO definition, error budgets and capacity planning
  • Builds and improves CI/CD and GitOps pipelines that make deployments safer and faster for other teams
  • Improves observability by defining metrics, dashboards, alerts and tracing that support both reliability and optimisation decisions
  • Applies security best practice across infrastructure, including least-privilege IAM, secrets management, network policies and patching
  • Takes part in a light escalation rota and leads the fix for complex incidents, driving systemic fixes through to completion
  • Evaluates and introduces tooling that improves observability, deployment safety and operational efficiency
  • Teaches others across multiple areas of the service, and contributes to interviewing and mentoring of new hires
  • REQUIRED QUALIFICATIONS / EXPERIENCE
  • Degree or equivalent in Computer Science or a related field
  • Typically requires 8+ years of professional experience or an advanced degree with comparable experience
  • Has both deep and broad expertise across service components, and balances operational and implementation work with design work
  • 4+ years running Kubernetes in production, including cluster upgrades, networking, RBAC, resource management and autoscaling (HPA/VPA, Karpenter or Cluster Autoscaler)
  • Expert-level, hands-on AWS experience, including EKS, VPC design, IAM (IRSA or Pod Identity), load balancing, Route 53, S3 and multi-account structures
  • Expert-level Infrastructure as Code (Terraform, OpenTofu, Pulumi or CDK), including reusable modules, remote state management and safe change rollout
  • CI/CD and GitOps at scale (for example Argo CD, Flux, GitHub Actions or GitLab CI)
  • Hands-on observability experience with metrics, logs and traces (for example Prometheus, Grafana, OpenTelemetry), used to find optimisation opportunities as well as to alert
  • Track record of measurably improving the reliability, performance or cost of a production SaaS service, with concrete results
  • Strong scripting or programming skills in Python, Go or Bash
  • Working knowledge of Linux, container runtimes and networking (DNS, TLS, load balancing), and of security fundamentals such as least-privilege IAM, secrets management and image scanning
  • Working knowledge of SLOs, incident response and post-incident reviews, with the ability to lead the response to a complex incident
  • Proficient in AI-assisted monitoring, log analysis and predictive alerting; evaluates and implements AIOps tools to reduce toil and improve incident response times
  • Proficient spoken and written English
  • Work hours aligned with Central European Time (UTC+1)

PREFERRED QUALIFICATIONS

  • Kubernetes or AWS certifications (CKA, CKS, AWS Solutions Architect or DevOps Engineer Professional)
  • Experience with cloud cost optimisation and FinOps practices, including tools such as Kubecost and reporting savings to leadership
  • Experience owning SLOs/SLAs for a production service
  • Experience with disaster recovery planning, multi-region design, chaos engineering or resilience testing
  • Platform engineering experience, such as self-service tooling, golden paths, Backstage or Crossplane
  • Experience with service mesh or advanced networking (Cilium/eBPF, Istio, Linkerd)
  • Experience with policy as code and supply chain security (OPA/Gatekeeper, Kyverno, cosign, SBOMs)
  • Experience leading large migrations, for example self-managed Kubernetes to EKS
  • Experience participating in or leading on-call rotations and incident response programs

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