Observability Platform Engineer

This is a fully remote position, open to applicants in Kazakhstan, +1 more country.

📋 Description

• Design, develop, and manage components of an observability platform for metrics, logging, distributed tracing, and alerting.

• Construct telemetry pipelines that handle high-cardinality and high-volume data from extensive infrastructure fleets.

• Enhance telemetry pipelines focusing on cost efficiency, data retention, and query performance.

• Establish and execute SLO/SLI frameworks along with alerting strategies.

• Collaborate with service delivery and operations teams to identify incident-response requirements.

• Integrate observability tools with incident management workflows, which include root-cause analysis and post-incident review information.

• Accelerate detection speed and lower MTTD and MTTR across the platform.

• Contribute to the strategic roadmap for AI-assisted operational tools, including automated triage and anomaly detection.

• Take ownership of the reliability, scalability, and security of the observability stack.

• Document the architecture, runbooks, and operational procedures.

• Enable operations teams to swiftly diagnose incidents with automatically surfaced data.

• Scale the observability platform in line with infrastructure expansion while managing costs and performance.

⛳️ Requirements

• Demonstrated expertise in designing and constructing observability platforms for large-scale production infrastructure environments.

• Extensive practical experience with metrics, logging, and distributed tracing tools such as Prometheus, Grafana, OpenTelemetry, Loki, Thanos/Cortex/Mimir, Elasticsearch/OpenSearch, and Jaeger/Tempo, or similar alternatives.

• Proficiency with high-volume telemetry pipelines and understanding of trade-offs related to cardinality, retention, cost, and query latency.

• Strong software engineering capabilities in at least one language commonly utilized in this domain, such as Go, Python, or Rust.

• Experience with Kubernetes and cloud-native infrastructure.

• Comprehensive understanding of SLO/SLI/error-budget practices and designing low-noise alerting systems.

• Comfortable operating in a dynamic environment where the platform is developed alongside the infrastructure it oversees.

• Excellent communication skills and the ability to collaborate directly with operations and service delivery teams.

• Experience in building observability solutions for GPU/HPC infrastructure or other specialized high-performance computing environments (preferred).

• Familiarity with eBPF-based observability tools (preferred).

• Awareness of AIOps/ML-based anomaly detection or automated triage systems (preferred).

• Experience working in a managed services or MSP context (preferred).

• Contributions to open-source observability initiatives (preferred).

🏝️ Benefits

• Collaborate with a prominent Silicon Valley leader in the cloud infrastructure sector.

• Work alongside exceptionally passionate, skilled, and engaging colleagues.

• Assist Fortune 500 and Global 2000 clients in implementing next-generation cloud technologies.

• Participate in cutting-edge, open-source innovation.

• Opportunities for professional development and training.

• Attend conferences and working groups.

• Enjoy company outings, happy hours, hackathons, and tech talks.

• Competitive compensation package complemented by a robust benefits plan.