Senior DevOps & Cloud SRE Lead (AWS / K8s)

GenixBit Labs Pvt. Ltd.

Greater London

Hybrid

GBP 70,000 - 120,000

Full time

38 hours ago
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Job summary

GenixBit Labs Pvt. Ltd. in Greater London is seeking an experienced DevOps/SRE to own our global cloud infrastructure. You will manage Kubernetes clusters, implement infrastructure-as-code with Terraform, and ensure 99.99% uptime.

Lead automated CI/CD with GitHub Actions, Docker, and Helm; build observability with Prometheus, Grafana and Datadog; and design incident response processes to keep systems resilient.

Qualifications

  • 4+ years in DevOps, SRE, or Cloud Architecture.
  • Deep AWS, Kubernetes, Terraform, Docker, and Linux administration.
  • Strong scripting in Python, Bash, or Go.

Responsibilities

  • Manage multi-region AWS infrastructure using Terraform and CloudFormation
  • Maintain production EKS/Kubernetes clusters, ingress controllers, and service meshes
  • Build automated CI/CD pipelines using GitHub Actions, Docker, and Helm
  • Set up observability stack (Prometheus, Grafana, Datadog) and incident management

Skills

DevOps/SRE experience
AWS
Kubernetes
Terraform
Docker
Linux administration
Python/Bash/Go scripting

Tools

GitHub Actions
Prometheus
Grafana
Datadog
Helm
CloudFormation

Job description

About the Role

Own our global cloud infrastructure, Kubernetes clusters, infrastructure-as-code (Terraform), zero-downtime deployment pipelines, and 99.99% uptime SRE standards.

Key Responsibilities
  • Manage multi-region AWS infrastructure using Terraform and CloudFormation
  • Maintain production EKS/Kubernetes clusters, ingress controllers, and service meshes
  • Build automated CI/CD pipelines using GitHub Actions, Docker, and Helm
  • Set up observability stack (Prometheus, Grafana, Datadog) and incident management
Requirements
  • 4+ years in DevOps, Site Reliability Engineering, or Cloud Architecture
  • Deep expertise in AWS, Kubernetes, Terraform, Docker, and Linux administration
  • Strong scripting skills in Python, Bash, or Go for operational automation
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