Quick summary
- Work type
- Hybrid
- Location
- Menlo Park, CA
- Salary
- $230,000–$270,000 / yr
- Posted
- 44 days ago
- Freshness
- Confirmed live 2 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 78% of similar roles. Most pay $171,337–$238,250 — the shaded band above. At the midpoint, this role pays about $250k versus about $205k for comparable roles.
Based on 240 similar postings.
Employer
About Robinhood
Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App
Robinhood currently has 35 open roles on FindRole.
Listed pay typically runs $196,000–$230,000 across 35 roles with salary data.
Most-posted roles
View all roles at RobinhoodAt a glance
TL;DR · Staff Software Engineer, Observability
As a Staff Software Engineer, Observability, you will join the Observability team to build and own the full-stack observability platform that ensures product reliability at scale. You will serve as a technical lead for a team of six engineers, defining the roadmap for metrics, logs, distributed tracing, and alerting pipelines. Your daily work involves owning the observability control plane, managing telemetry ingestion costs, and developing in-house solutions to enhance infrastructure visibility. The role requires extensive experience with Kubernetes, public cloud environments like AWS, and coding in languages such as Go or Python. You will also utilize tools like Vector, Prometheus, Grafana, Honeycomb, Humio, or Sentry. This position addresses the critical challenge of maintaining high availability for financial services by providing engineers with deep visibility into how complex infrastructure behaves during production operations.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Skills
What you'll do
- Define and execute the full-stack observability roadmap for metrics, logs, traces, and alerting infrastructure.
- Own and evolve the observability control plane including telemetry ingestion pipelines and cost management strategies.
- Lead a team of six engineers to build scalable, self-service observability solutions.
- Maintain high availability and 99.9% uptime for all internal observability systems.
- Partner with the Command Center to align on dependency mapping and incident response workflows.
- Build in-house tools where off-the-shelf solutions are insufficient for scale.
- Integrate AI-driven approaches to accelerate progress toward full-stack observability goals.
What we're looking for
- 8+ years of software engineering experience in large-scale observability or infrastructure platform initiatives.
- Deep expertise in Kubernetes and public cloud environments, preferably AWS.
- Proficiency in coding languages such as Go or Python.
- Experience integrating observability agents, libraries, and instrumentation into production codebases.
- Proven experience owning an observability control plane or telemetry pipeline in high-traffic environments.
- Familiarity with tools like Prometheus, Grafana, Honeycomb, Humio, or Sentry is a plus.
- Experience with the Vector data pipeline or equivalent high-throughput log/metrics routing tools is a plus.
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