Senior Site Reliability Engineer

• Develop a standardized observability ecosystem and implement a conscious telemetry model focusing on structured events, distributed tracing, and intelligent sampling strategies.
• Act as a strategic partner to product engineering teams, providing the platform, standards, and data for service reliability ownership; use error budgets and alerting to balance feature velocity with stability.
• Enhance detection capabilities with early-warning systems and AI/ML for automated anomaly detection and intelligent data analysis to strengthen system resilience.
• Build internal automation and tooling that streamlines SRE workflows, automates routine tasks, and enhances efficiency across the technology stack.
• Participate in an on-call rotation for incident management, ensuring rapid resolution, effective communication, and post-incident analysis for continuous improvement.

Key requirements:

• At least 5 years of professional experience in SRE, Infrastructure, or DevOps roles managing high-scale, distributed environments.
• Advanced programming skills in Python, focusing on scalable automation, internal tooling, and robust scripts.
• Hands-on expertise in managing production-grade Kubernetes environments, configuration management with Ansible, and designing resilient infrastructure architectures within Azure Kubernetes Service and on-prem environments.
• Deep proficiency in building standardized telemetry ecosystems with self-hosted open-source tools: Prometheus, Grafana, ELK Stack, Tempo, Thanos, Jaeger, and similar.
• Ability to drive incident management, conduct post-incident analysis, and foster a culture of reliability and shared ownership.
• Ability to leverage AI/ML techniques for SRE tasks such as AIOps, automated anomaly detection, log analysis, and optimizing reliability workflows.

Nice to have:

• Experience with commercial observability and APM solutions (e.g., Datadog, Splunk, New Relic) or chaos engineering frameworks.