Staff Software Engineer, Tech Foundations

As a Staff Software Engineer, you will shape the technical direction of a large-scale Observability platform supporting critical production systems. You will lead the design, development, and operation of distributed infrastructure that processes millions of telemetry events every second. Working across metrics, logs, and distributed tracing, you will help engineering teams gain deeper insights into system performance, reliability, and operational costs. You will also contribute to building AI-ready observability capabilities, enabling autonomous agents to access operational data safely and efficiently. In this highly collaborative environment, you will influence architectural decisions, mentor engineers, and drive innovation across infrastructure teams. This is an opportunity to solve complex technical challenges while improving developer productivity and system resilience at global scale.

• Professional Experience: At least 9 years of software engineering experience, with a proven track record of designing, building, and operating large-scale distributed systems in production environments.

• Technical Leadership: Demonstrated experience leading the technical direction of complex systems or multi-team initiatives, including architecture design, stakeholder alignment, delivery, and production operations.

• Observability Expertise: Deep experience in at least one major telemetry domain at scale, including metrics platforms such as Prometheus, Grafana Mimir, or VictoriaMetrics; logging technologies such as OpenSearch or Kafka; or distributed tracing solutions such as OpenTelemetry, Jaeger, or ClickHouse.

• Programming Skills: Strong software development capabilities in Go or Java/Kotlin, with the ability to navigate unfamiliar codebases and contribute to upstream open-source projects.

• Cloud Infrastructure: Hands-on experience with cloud-native technologies, particularly Kubernetes, AWS, and service mesh solutions such as Istio or Envoy.

• Communication & Collaboration: Excellent written and verbal communication skills, including the ability to produce clear technical design documents, explain architectural tradeoffs, and present investment recommendations to engineering leadership.

• Problem-solving: Strong analytical and architectural thinking, with the ability to address complex scalability, reliability, performance, and cost challenges.

• Open-source Contributions (Preferred): Experience contributing to OpenTelemetry, Prometheus, Grafana Mimir, VictoriaMetrics, OpenSearch, Jaeger, or comparable projects.

• Advanced Technical Knowledge (Preferred): Familiarity with time-series storage internals, high-cardinality datasets, query optimization, anomaly detection, automated correlation, or SLO-based alerting.

• Additional Expertise (Preferred): Experience with telemetry cost attribution, large-scale infrastructure cost optimization, AI-agent-facing APIs or tools (including MCP servers), and columnar analytics platforms such as ClickHouse.