As a Senior Software Engineer on the Observability team, you will be the technical lead shaping the roadmap for how Robinhood observes itself at scale. You will own the observability control plane end-to-end, making architectural decisions that directly impact the reliability and operational health of Robinhood's entire product surface. You'll lead a team of six engineers, drive the strategy for cost-efficient telemetry ingestion, build in-house solutions where off-the-shelf tooling falls short, and integrate AI-driven approaches to accelerate progress toward full-stack observability. This is a high-ownership, high-visibility role where your technical decisions set the direction for the entire organization!
This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you'll do
Define and execute the full-stack observability roadmap, establishing a clear technical vision for metrics, logs, traces, and alerting infrastructure across Robinhood's engineering organization.
Own and evolve the observability control plane, including telemetry ingestion pipelines, cost management strategies, and the tooling that ensures observability components remain highly available.
Lead 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.
Establish 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.
Partner with the Robinhood Command Center and engineering teams across the organization to align on dependency mapping, incident response workflows, and observability standards.
What you bring
5+ years of software engineering experience, with a proven track record of owning and delivering large-scale observability or infrastructure platform initiatives.
Deep 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.
Strong coding proficiency in one or more languages (Go, Python, or similar) with experience integrating observability agents, libraries, and instrumentation directly into production codebases.
Demonstrated experience owning an observability control plane or telemetry pipeline — including ingestion cost management, cardinality control, and signal routing — in a high-traffic production environment.
Experience with the Vector data pipeline (or equivalent high-throughput log/metrics routing tools) and familiarity with tools such as Prometheus, Grafana, Honeycomb, Humio, or Sentry is a plus.
What we offer
Challenging, high-impact work to grow your career
Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$196,000—$230,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$172,000—$202,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$153,000—$179,000 USD
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
