Senior Site Reliability Engineer

What you'll do

• Lead incident detection, response, and resolution as an Incident Commander to ensure high uptime and rapid recovery.
• Design and implement complex automation platforms and self-healing systems using durable workflow engines like Temporal or Airflow.
• Architect production-grade observability solutions for monitoring, logging, alerting, and tracing to enable proactive detection.
• Build AI-powered operational tools including anomaly detection systems, predictive analysis pipelines, and intelligent runbook automation.
• Apply software engineering principles to eliminate toil and improve operational efficiency across large-scale distributed systems.
• Define and uphold Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to guide engineering and release decisions.
• Provide technical coaching to junior team members through pair programming, design reviews, and code reviews.
• Ship high-quality, production-grade software using modern engineering practices and AI-driven development workflows.

What we're looking for

• A related technical degree is required.
• 5+ years of experience in systems engineering and software engineering for large-scale, internet-facing services.
• Hands-on expertise with containerized architectures like Docker and Kubernetes and orchestration platforms.
• Strong knowledge of distributed systems, Linux/Unix internals, and large-scale internet service architectures.
• Proven proficiency in Python and Go (GoLang) with strong software engineering practices including testing and CI/CD.
• Production experience building and operating observability platforms such as Grafana, Prometheus, or Datadog.
• Solid background in incident management, including on-call participation, root cause analysis, and postmortem practices.
• Experience applying AI/ML to operations, including anomaly detection, predictive analysis, and prompt engineering.