Site Reliability Engineer

Key Responsibilities

• Build and maintain observability stacks using Prometheus and Grafana; define SLOs, SLIs, SLAs and error budgets.
• Own incident response: on-call rotation, triage, mitigation, and blameless post-mortems.
• Automate repetitive operational tasks and eliminate toil through scripting and tooling (Python, Bash, Go).
• Design, deploy, and maintain highly available infrastructure on AWS using Terraform and Ansible for infrastructure-as-code workflows.
• Manage and optimize Kubernetes clusters (EKS) and containerized workloads with Docker to support microservices architecture.
• Collaborate with engineering teams during design reviews to embed reliability and scalability requirements.
• Monitor capacity and performance trends; proactively identify and resolve bottlenecks.
• Maintain and improve CI/CD pipelines and deployment automation.

Qualifications Required

• 2–8 years of experience in Site Reliability Engineering, DevOps, or a closely related discipline.
• Working knowledge of monitoring and logging tools like Prometheus, Grafana, Dynatrace or Datadog, OpenSearch and Victoria metrics etc.
• Tracking and monitoring SLAs for all critical services.
• Experience with Linux systems administration.
• Hands-on experience with Kubernetes and Docker in production environments.
• Proficiency with AWS services (EC2, EKS, RDS, S3, VPC, IAM, CloudWatch).
• Experience with Infrastructure-as-Code tools such as Terraform or Ansible.
• Strong scripting skills in Python or Bash.
• Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI).
• Familiarity with GitOps workflows (ArgoCD, Rancher etc).

Preferred

• Experience in financial services, FinTech, or other regulated industries.
• Knowledge of service mesh technologies (Istio, Linkerd).
• Familiarity with distributed tracing tools (Jaeger, OpenTelemetry).
• AWS certifications (Solutions Architect, DevOps Engineer, or equivalent).
• Experience with cost optimization strategies in cloud environments.