Site Reliability Engineer

Role Overview

As a Site Reliability Engineer, you will be responsible for ensuring the reliability, scalability, and performance of production systems. You will apply engineering principles to operations, focusing on automation, observability, and continuous improvement to reduce manual effort and enhance system resilience. You will work closely with development teams to build and operate highly reliable services, embedding reliability into the full software lifecycle.

Main Responsibilities

• Monitor system reliability and define, implement, and track SLIs, SLOs, and error budgets for production services
• Lead incident response activities, including troubleshooting, root cause analysis, and resolution
• Automate infrastructure processes and reduce operational toil through scripting and tooling enhancements
• Manage and optimize Kubernetes clusters, including resource configurations, manifests, and kustomize overlays
• Maintain and monitor GitOps workflows using ArgoCD to ensure consistent and reliable application deployments
• Design, build, and maintain CI/CD pipelines using Jenkins Job DSL (Groovy)
• Collaborate with development teams to improve system reliability, scalability, and deployment readiness
• Maintain and upgrade platform tools such as Jenkins, ArgoCD, and container registries
• Develop and maintain runbooks, postmortems, and internal technical documentation

Requirements

• 3+ years of experience in Site Reliability Engineering (SRE), DevOps, or infrastructure engineering
• Solid understanding of SRE principles, including SLIs, SLOs, and error budget frameworks
• Experience operating and managing systems in cloud-native environments (e.g., AWS, GCP, Azure)
• Strong proficiency in containerization and orchestration technologies, particularly Docker and Kubernetes
• Experience with CI/CD pipelines, automation, and deployment strategies (e.g., Jenkins, GitLab CI, GitHub Actions)
• Familiarity with GitOps practices and tools such as ArgoCD or FluxCD
• Hands-on experience with observability and monitoring tools (e.g., Prometheus, Grafana, logging and alerting systems)
• Proficiency in scripting and automation (e.g., Bash, Python, Groovy) and Infrastructure as Code (e.g., Terraform, Ansible)
• Strong foundation in Linux/Unix systems and Git-based version control workflows