Site Reliability Engineer (SRE) — Job Description

Role summary

Designs, builds, and operates reliable, scalable production systems by applying software engineering to operations, automation, and incident response to meet availability and performance goals.

Key responsibilities

• Own service reliability: define SLIs/SLOs, set error budgets, and drive reliability improvements.
• Build, maintain, and automate production tooling for deployment, monitoring, alerting, and remediation.
• Develop and maintain runbooks, playbooks, and automated runbook executions for common incidents.
• Implement observability: metrics, tracing, structured logs, dashboards, and alerting (Prometheus, Grafana, OpenTelemetry, ELK/Opensearch).
• Automate repetitive operational tasks (infrastructure provisioning, scaling, failover) using code (Python, Go, Terraform, Ansible).
• Design and operate CI/CD and release pipelines to enable safe, repeatable deployments.
• Participate in on-call rotation, incident management, post-incident reviews, and long-term remediation.
• Capacity planning, performance tuning, and cost optimization for services and infrastructure.
• Improve system resilience: chaos testing, fault injection, blue/green and canary deployments, and disaster recovery drills.
• Collaborate with product, backend, security, and platform teams to influence architecture for operability and reliability.
• Mentor engineers on operational best practices, runbook creation, and production-safe design patterns.

Qualifications

• Education: BS/MS in Computer Science, Engineering, or equivalent experience.
• Experience: 3–7+ years in SRE, DevOps, or systems engineering; senior roles commonly 5+ years.
• Core skills: Strong Linux systems, networking, distributed systems understanding, and debugging at scale.
• Observability & tooling: Hands-on with Prometheus/Grafana, ELK/Opensearch, Jaeger/Zipkin, and alerting/incident tools.
• Automation & infra: Proficient in Terraform/CloudFormation, configuration management (Ansible, Helm), and scripting (Python, Bash, Go).
• CI/CD & containers: Experience with Docker, Kubernetes (EKS/GKE/AKS), and pipeline tools (GitHub Actions, Jenkins, ArgoCD).
• Cloud platforms: Practical experience with AWS/GCP/Azure services and operational patterns.
• Reliability practices: SLO/SLI formulation, error budgets, chaos engineering, and capacity planning.
• Security & compliance: Familiarity with IAM, network security, secrets management, and secure operations.
• Soft skills: Strong incident communication, cross-team collaboration, ownership, and mentoring.

Working conditions

• On-call rotation for production incidents; may require after-hours response for major outages.
• Cross-functional, fast-paced environment with both project work and operational responsibilities.

Performance metrics

• Service availability and SLO adherence.
• Mean time to detect (MTTD) and mean time to recover (MTTR).
• Change failure rate and deployment lead time.
• Automation coverage and reduction in manual toil.
• Error budget consumption and number of post-incident improvements implemented.

Pay: $75.34 – $98.12 per hour

Benefits:

• Dental insurance
• Health insurance
• Salary packaging

Work Location: In person