Site Reliability Engineer

We are seeking an experienced Site Reliability Engineer (SRE) to design, implement, and maintain highly available, scalable, secure, and reliable production systems. The ideal candidate will have strong software engineering skills combined with hands-on experience in cloud infrastructure, Kubernetes, automation, monitoring, and observability.

The SRE will work closely with development, infrastructure, and operations teams to improve system reliability, automate operational processes, and resolve complex production issues.

• Design, deploy, and maintain highly reliable and scalable production systems.
  
• Develop automation and reliability tooling using Go, Python, Java, or Rust.
  
• Manage and support cloud environments across AWS, Azure, or GCP.
  
• Deploy and manage containerized applications using Docker and Kubernetes.
  
• Implement and maintain monitoring, logging, metrics, and distributed tracing solutions.
  
• Build and enhance observability using OpenTelemetry (OTel) and related technologies.
  
• Troubleshoot complex infrastructure, application, and production issues.
  
• Participate in incident response, root-cause analysis, and post-incident reviews.
  
• Automate repetitive operational tasks and improve engineering efficiency.
  
• Implement Infrastructure as Code using Terraform and/or Ansible.
  
• Develop and maintain CI/CD pipelines for reliable and automated deployments.
  
• Monitor system performance, availability, capacity, and overall reliability.
  
• Identify reliability risks and implement proactive solutions.
  
• Collaborate with software developers to improve application reliability and performance.
  
• Establish and improve SRE best practices, operational procedures, and reliability standards.
  

• Proven experience as a Site Reliability Engineer, Production Engineer, DevOps Engineer, or similar role.
  
• Strong programming experience with at least one of:
  
  • Go/Golang
    
  • Python
    
  • Java
    
  • Rust
    
• Hands-on experience with AWS, Azure, or GCP.
  
• Strong experience with Kubernetes and Docker.
  
• Strong Linux/Unix administration and troubleshooting skills.
  
• Experience with OpenTelemetry and observability.
  
• Knowledge of monitoring and visualization tools such as Prometheus and Grafana.
  
• Experience with Terraform, Ansible, or similar Infrastructure-as-Code tools.
  
• Strong understanding of CI/CD pipelines and DevOps practices.
  
• Experience with production incident management and Root Cause Analysis (RCA).
  
• Strong knowledge of automation, scripting, networking, and distributed systems.