Site Reliability Engineer

Roles & Responsibilities

As a Site Reliability Engineer, your day-to-day responsibilities will include:

• Infrastructure Orchestration: Architect, maintain, and scale production-grade Kubernetes (K8s) clusters; continuously monitor and troubleshoot control plane mechanics, cluster networking, and workload scheduling.
• Deployment Automation: Design, optimize, and maintain robust CI/CD pipelines to streamline application delivery.
• Progressive Delivery Management: Safely execute and manage advanced application rollout strategies, including Canary deployments and Blue/Green deployment patterns, minimizing user downtime.
• Cloud Operations: Manage, provision, and secure cloud resources within a major public cloud environment (AWS, GCP, or Azure), utilizing a software-defined infrastructure approach.
• Eliminate Administrative Toil: Actively identify manual, repetitive operational tasks and eliminate them by writing clean, reusable automation scripts and internal tools using Python, Go, or Bash.
• Network Troubleshooting: Diagnose and resolve complex system interconnectivity, routing, load balancing, and communication bugs across core protocols (TCP/IP, DNS, HTTP).
• Cross-Functional Collaboration: Bridge the gap between software development and infrastructure operations to ensure system reliability, visibility, and optimal performance scaling.

Preferred Candidate Profile

The ideal candidate brings a blend of systems engineering expertise, an automation-first mindset, and production-level troubleshooting skills:

• Experience: 3 to 6 years of proven experience working as an SRE, DevOps Engineer, or Cloud Infrastructure Engineer managing production environments.
• Deep Kubernetes Expertise: Strong conceptual and operational mastery of Kubernetes architecture. You should know K8s troubleshooting paradigms "inside out."
• Pipeline Proficiency: Hands-on experience with modern CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions, or ArgoCD) and a proven track record of fixing pipeline friction or lifecycle failures.
• Cloud & Security Competency: Solid working experience with at least one major cloud platform (AWS, GCP, or Azure), including a strong grasp of native service provisioning and identity/access management (IAM).
• Strong Coding/Scripting Skills: Proficiency in Python, Bash, or Go. You write clean, production-grade code to build automation tools rather than just running manual commands.
• Solid Networking Foundation: Deep understanding of core networking principles, routing, load balancers, and protocols (TCP/IP, DNS, HTTP) to quickly pinpoint why services aren't communicating.
• Education: Bachelors degree in Computer Science, Information Technology, Engineering, or a related technical field (or equivalent practical experience).