Staff Software Engineer, Observability

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Observability team's mission is to build and own Robinhood's full-stack observability platform — the foundation that keeps every product, service, and customer experience running reliably at scale. We design and operate the systems that give engineers deep visibility into how Robinhood's infrastructure behaves, ensuring that when something goes wrong, the right people know immediately and can act fast. Our work spans metrics, logs, distributed tracing, and alerting pipelines, and we partner closely with the Robinhood Command Center to ensure our observability systems meet or exceed 99.9% uptime. We believe in monitoring our own monitors — the observability infrastructure is a product, not just a tool.

As a Staff 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!

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.

• →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.

• 8+ 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.