Observability Platform Engineer

This is a fully remote position, open to applicants in Kazakhstan.

📋 Description

• Design, develop, and manage components for metrics, logging, distributed tracing, and alerting platforms.

• Construct telemetry pipelines that handle high volumes and high cardinality for extensive infrastructure fleets.

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

• Establish and execute SLO/SLI frameworks and alerting methodologies that minimize noise.

• Collaborate with service delivery and operations teams to create incident-centric observability features.

• Integrate observability tools with incident management processes, root-cause analysis, and post-incident evaluations.

• Enhance detection speed while lowering Mean Time to Detection (MTTD) and Mean Time to Recovery (MTTR) throughout the platform.

• Contribute to AI-powered operational tools, including automated triage, anomaly detection, and engineer-assist applications.

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

• Document system architecture, runbooks, and operational procedures.

⛳️ Requirements

• Demonstrated experience in designing and building observability platforms for large-scale production infrastructure.

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

• Familiarity with high-volume telemetry pipelines and the trade-offs involving cardinality, retention, cost, and query latency.

• Proficient software engineering skills in at least one relevant programming language, such as Go, Python, or Rust.

• Experience with Kubernetes and cloud-native infrastructure solutions.

• Strong understanding of SLO/SLI/error-budget practices and the principles of low-noise alerting design.

• Ability to thrive in a dynamic environment where the platform is developed alongside the infrastructure it observes.

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

• Experience in developing observability solutions for GPU/HPC or other specialized high-performance computing environments.

• Knowledge of eBPF-based observability tools.

• Familiarity with AIOps/ML-driven anomaly detection or automated triage systems.

• Background in managed services or managed service provider contexts.

• Contributions to open-source observability initiatives.

🏝️ Benefits

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

• Collaborate with exceptionally passionate, skilled, and engaging colleagues.

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

• Be part of groundbreaking open-source innovation.

• Opportunities for professional growth and training.

• Attend conferences and participate in working groups.

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

• Competitive compensation package complemented by a robust benefits plan.