Site Reliability Engineer

Role Overview

• You’ll design and maintain infrastructure that is highly available, fault-tolerant, and scalable
• You’ll proactively identify and eliminate single points of failure before they become incidents
• You’ll ensure our production systems remain stable, even under increasing scale and load
• You’ll manage and continuously improve workloads across AWS, GCP, or Azure
• You’ll use Infrastructure as Code (Terraform) to standardize and scale infrastructure
• You’ll optimize resource usage to balance performance and cost
• You’ll operate and scale Kubernetes clusters (EKS, GKE, etc.) with confidence
• You’ll troubleshoot issues quickly and ensure smooth deployments and upgrades
• You’ll ensure our containerized workloads perform reliably at scale
• You’ll implement and refine monitoring systems using tools like Prometheus, Grafana, Datadog, or ELK
• You’ll define alerting that is meaningful, not noisy
• You’ll respond to incidents, lead root cause analysis, and ensure we learn from every failure
• You’ll write scripts and build tooling to eliminate repetitive operational work
• You’ll continuously improve infrastructure efficiency through automation
• You’ll promote a culture where manual work is a temporary state, not the norm
• You’ll work closely with DevOps and engineering teams to solve performance bottlenecks
• You’ll contribute to CI/CD improvements and deployment reliability
• You’ll help shape reliability best practices across the organization

Requirements

• You’ve spent ~3 years working in SRE, DevOps, or infrastructure engineering, and you’ve seen what breaks at scale
• You’re comfortable working in cloud environments like AWS, GCP, or Azure—and you understand how distributed systems behave
• You’ve worked hands-on with Kubernetes in production and know how to troubleshoot it when things go wrong
• You don’t just fix issues
• you ask why they happened and make sure they don’t happen again
• Use Terraform (or similar IaC tools) to manage infrastructure
• Work confidently with Docker and Kubernetes
• Write scripts in Python, Bash, or similar to automate workflows
• Understand CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket, etc.)
• Have a solid grasp of networking, load balancing, and high-availability design
• You’ve implemented tools like Prometheus, Grafana, Datadog, or ELK
• You know the difference between useful alerts and noise
• You focus on signals that actually drive action
• You take ownership
• you don’t wait to be told something is broken
• You’re calm under pressure and methodical during incidents
• You simplify complexity instead of adding to it
• You communicate clearly, even when explaining deeply technical issues
• You care about building systems that make other engineers more effective
• Nice to Have (but not required)
• Experience with RabbitMQ or Redis in production
• Familiarity with Ansible or AWX
• Exposure to multi-cloud or hybrid environments
• Cloud certifications (AWS, GCP) or Linux certifications
• Background from ITI (Information Technology Institute)

Tech Stack

• Ansible
• AWS
• Azure
• Cloud
• Distributed Systems
• Docker
• Google Cloud Platform
• Grafana
• Jenkins
• Kubernetes
• Linux
• Prometheus
• Python
• RabbitMQ
• Redis
• Terraform