Robinhood2 дня назад

Staff Software Engineer, Observability

Зарплата не указана
Menlo Park

Навыки

KubernetesAWSGoPythonVectorPrometheusGrafanaHoneycombHumioSentry

Обязанности

  • 01Define and execute the full-stack observability roadmap, establishing a clear technical vision for metrics, logs, traces, and alerting infrastructure across Robinhood's engineering organization
  • 02Own and evolve the observability control plane, including telemetry ingestion pipelines, cost management strategies, and the tooling that ensures observability components remain highly available
  • 03Lead and collaborate with a team of six engineers to build scalable, self-service observability solutions that enable product and infrastructure teams to move faster with greater confidence
  • 04Establish and maintain SLOs for observability systems that meet or exceed Robinhood's 99.9% uptime target, ensuring the observability platform is as reliable as the services it monitors
  • 05Partner with the Robinhood Command Center and engineering teams across the organization to align on dependency mapping, incident response workflows, and observability standards

Требования

  • 018+ years of software engineering experience, with a proven track record of owning and delivering large-scale observability or infrastructure platform initiatives
  • 02Deep expertise in Kubernetes and public cloud environments (AWS preferred), with the ability to architect and operate distributed systems at scale regardless of specific vendor tooling
  • 03Strong coding proficiency in one or more languages (Go, Python, or similar) with experience integrating observability agents, libraries, and instrumentation directly into production codebases
  • 04Demonstrated experience owning an observability control plane or telemetry pipeline — including ingestion cost management, cardinality control, and signal routing — in a high-traffic production environment
  • 05Experience with the Vector data pipeline (or equivalent high-throughput log/metrics routing tools)

Условия

  • 01This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week
  • 02Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 03Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • 04Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
  • 05Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • 06Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • 07Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • 08Exceptional office experience with catered meals, events, and comfortable workspaces