Sr Staff Software Engineer Distributed

Responsibilities

• Shape the Health Log Analytics roadmap with engineering, product, leadership, and customer input.
• Set architecture direction across data ingestion, storage, query, anomaly detection, and AIOps teams.
• Prototype and communicate technical strategies for distributed data systems and AI-enabled workflows.
• Lead design reviews and define standards for completeness, durability, latency, availability, tenant isolation, and unit cost.
• Guide storage migrations, schema changes, replay, upgrades, and other low- or zero-downtime transitions.
• Establish architectural boundaries and contracts across collection, ingest, storage, anomaly detection, query, and AIOps experiences.
• Evaluate AI applications through customer value, data quality, reliability, safety, and cost considerations.
• Set quality, on-call, and incident-learning practices while mentoring senior engineers and technical leads.

Requirements

• 12+ years building and operating production distributed systems, with substantial ownership of large-scale data or platform systems, or equivalent depth demonstrated through sustained technical leadership.
• Broad experience across data ingestion, storage, query, and AI on data, with deep expertise in at least one area.
• Experience with Kafka, Pulsar, or Kinesis and with columnar stores, time-series databases, Elasticsearch/OpenSearch, or object-storage designs.
• Experience influencing teams the candidate does not own through technical credibility and clear thinking.
• Evidence-based judgment about AI, including safeguards for correctness, safety, and cost, and experience shipping AI or a well-developed point of view on its use.
• Strong judgment regarding consistency, latency, cost, and operational burden tradeoffs.
• Experience with Kubernetes and cloud infrastructure at scale.
• Fluency in at least one of Go, Java, Scala, Rust, or Python, with the ability to prototype, conduct deep code reviews, and write production code when needed.
• Clear communication skills for explaining complex designs to both new hires and executives.
• Preferred experience in observability, log analytics, OpenTelemetry, AIOps, AI-native companies, agents, LLM-based features, multitenant SaaS, or per-tenant isolation.
• Experience working remotely and leading remote teams.

Benefits

• Base pay of $171,900 - $300,800, plus equity when applicable and variable or incentive compensation.
• Health plans including flexible spending accounts, a 401(k) plan with company match, ESPP, matching donations, flexible time away, and family leave programs.
• Flexible work persona with a remote/distributed work environment.
• Regular employee position in the North America and Canada region.