About the role
Responsibilities:
- Build and maintain scalable cloud infrastructure on AWS.
- Improve CI/CD pipelines, deployment systems, and developer workflows.
- Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi).
- Manage and optimise Kubernetes clusters and containerised workloads.
- Improve observability across systems through monitoring, logging, and alerting.
- Drive reliability initiatives including incident response, root cause analysis, and operational improvements.
- Collaborate with engineering teams to improve service scalability, performance, and security.
- Implement IAM, secrets management, and infrastructure security best practices.
- Optimise infrastructure costs and improve resource efficiency.
- Actively leverage AI tools and workflows to improve engineering productivity and automation.
Requirements:
- 3-6 years of experience in DevOps, Platform Engineering, or SRE roles.
- Strong hands-on experience with AWS infrastructure and services.
- Good understanding of Kubernetes, Docker, and container orchestration.
- Experience with Infrastructure-as-Code tools like Terraform or Pulumi.
- Strong scripting/coding skills in Python, Go, or Bash.
- Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc. )
- Understanding of networking fundamentals, Linux systems, and cloud security practices.
- Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog, etc.
- Strong debugging and problem-solving skills.
- Ability to work independently in a fast-moving environment.
Good To-Haves:
- Experience working in fintech or high-scale startup environments.
- Exposure to service mesh, zero-trust security, or secrets management systems.
- Experience with multi-cluster Kubernetes environments.
- Familiarity with incident management, SLOs, and reliability engineering practices.
- Experience building internal developer platforms or automation tooling.