Senior Site Reliability Engineer (SRE) - Cloud & Distributed Systems

Skills:

SRE, DevOps, AWS, GCP, Kubernetes, Docker, Python, Go, Linux, Distributed Systems, Monitoring, Logging, SLIs, SLOs, CI/CD, Observability

We are seeking an experienced Senior Site Reliability Engineer (SRE) to design, build, and operate highly scalable and reliable cloud-based systems. The ideal candidate will have a strong background in DevOps, distributed systems, and cloud infrastructure , with a focus on automation, observability, and system reliability .

This role involves working in a fast-paced environment to ensure system uptime, performance, and operational excellence.

Key Responsibilities:

• Design, implement, and manage highly available, distributed systems
• Maintain and optimize cloud infrastructure (AWS/GCP)
• Develop automation scripts using Python, Go, Java, or Bash
• Manage containerized environments using Docker and Kubernetes
• Define and monitor SLIs, SLOs, and error budgets
• Implement monitoring, logging, and alerting solutions
• Lead incident management , root cause analysis (RCA), and postmortems
• Ensure system security and compliance within operational workflows
• Improve system reliability through performance tuning and optimization
• Collaborate with engineering teams to enhance deployment and release processes
• Create and maintain runbooks, dashboards, and operational documentation

Required Qualifications:

• 8+ years of experience in SRE, DevOps, or Systems Engineering
• Strong expertise in Linux/Unix systems and system internals
• Proficiency in at least one programming/scripting language ( Python, Go, Java, Bash )
• Experience designing and operating distributed systems
• Hands-on experience with cloud platforms (AWS or GCP)
• Experience with Docker and Kubernetes
• Strong understanding of monitoring, alerting, and logging concepts
• Experience managing SLIs, SLOs, and error budgets
• Experience with incident management and RCA processes

Preferred Qualifications:

• Experience with observability tools (Prometheus, Grafana, Datadog, Splunk, Application Insights)
• Experience supporting 24x7 production environments and on-call rotations
• Knowledge of chaos engineering and resiliency testing
• Experience with canary deployments, feature flags, and progressive delivery
• Strong documentation and communication skills