At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we’re revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients.
About the Role
The Engineering Platform organization owns the systems that engineers at Compass depend on to build, test, deploy, and operate software. Our mission is to reduce friction across the SDLC, improve engineering effectiveness, and build the foundation for AI-enabled software development.
This role is centered on maximizing engineering velocity and velocity at scale by architecting fast feedback loops, optimizing system efficiency, and building seamless, intuitive workflows that empower developers across the entire software development lifecycle. As a Staff Engineer, you will work across observability, engineering telemetry, developer tooling, software catalog systems, organizational metadata, and AI-assisted workflows to turn these gaps into durable platform capabilities.
Applying AI across the software development lifecycle is a core responsibility of this role. You will build systems that use engineering signals to improve feedback loops, automate operational decision-making, and reduce manual engineering work. This includes capabilities such as intelligent testing frameworks, AI-assisted production troubleshooting, automated change analysis, workflow orchestration, and secure execution environments for AI-generated code integrated throughout the SDLC.
The ideal candidate sees the engineering ecosystem as an interconnected system of services, workflows, operational signals, and human behavior - and knows how to simplify, standardize, and scale it.
Responsibilities
- Define the technical direction for Developer Intelligence systems across the SDLC, including engineering telemetry, observability, and AI-assisted developer tooling.
- Identify systemic engineering inefficiencies by analyzing developer workflows, operational signals, and SDLC feedback loops, then translate those findings into scalable platform capabilities.
- Architect systems that collect, correlate, and operationalize data from CI/CD pipelines, source control, testing infrastructure, production systems, and developer workflows.
- Build AI-assisted capabilities across the SDLC, including code generation, code review, software validation, production troubleshooting, and workflow automation.
- Lead large cross-functional initiatives by aligning teams, driving architectural direction, and decomposing ambiguous problems into scalable execution plans.
- Identify and eliminate systemic bottlenecks impacting engineering velocity, reliability, operational efficiency, and developer experience.
- Mentor engineers, raise technical standards, and contribute to a strong engineering culture through design leadership and high-quality code review practices.
Basic Qualifications
- BS or higher in Computer Science, Software Engineering, or equivalent practical experience.
- 10+ years of professional software development experience, with a proven track record of leading large-scale technical initiatives.
- Strong experience designing, scaling, or operating data pipelines, telemetry systems, large-scale observability infrastructure, or developer metrics frameworks (e.g., tracking DORA or SPACE metrics).
- Hands-on professional experience integrating AI tools & capabilities into software engineering, automated workflows, or system triaging tools.
- Experience designing and operating platform systems on major cloud infrastructures (AWS, GCP, or Azure).
- Experience modernizing legacy systems, consolidating fragmented tooling, and driving platform standardization across multiple engineering teams.
- Strong track record of technical leadership, organizational influence, and cross-functional execution.
- Proficiency in Go and professional experience in one or more of the following: Java, Python, or TypeScript.
Preferred Qualifications
- Deep familiarity with core SDLC infrastructure - including practical experience with or exposure to build systems, local development environments, testing infrastructure, or CI/CD pipelines.
- Experience driving platform adoption or data consolidation across an engineering organization of 1,000+ developers.
- A strong track record of building tools for developers - intimately understanding internal customer pain points and translating feedback into reliable platform capabilities.
Perks that You Need to Know About:
Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance.
Notice for California Applicants
Los Angeles County Fair Chance Notice
Skills Required
- BS or higher in Computer Science, Software Engineering, or equivalent practical experience.
- 10+ years of professional software development experience with leading large-scale technical initiatives.
- Experience designing, scaling, or operating data pipelines, telemetry systems, large-scale observability infrastructure, or developer metrics frameworks.
- Hands-on experience integrating AI tools and capabilities into software engineering, automated workflows, or system triaging tools.
- Experience designing and operating platform systems on major cloud infrastructures (AWS, GCP, or Azure).
- Experience modernizing legacy systems, consolidating fragmented tooling, and driving platform standardization across multiple engineering teams.
- Strong track record of technical leadership, organizational influence, and cross-functional execution.
- Proficiency in Go and professional experience in one or more of Java, Python, or TypeScript.
- Deep familiarity with core SDLC infrastructure (build systems, local development environments, testing infrastructure, CI/CD pipelines).
- Experience driving platform adoption or data consolidation across an engineering organization of 1,000+ developers.
- Track record of building developer tools and translating internal customer feedback into reliable platform capabilities.
Compass Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Compass and has not been reviewed or approved by Compass.
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Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, with some noting fully paid dependent coverage and solid plan options. Wellness resources and assistance programs further support overall health needs.
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Parental & Family Support — Paid parental leave is characterized as generous for both birthing and non-birthing parents, supporting time at home. Company policies also reference family medical leave.
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Retirement Support — A 401(k) with company match alongside an employee stock purchase plan and equity grants adds long-term financial value. These elements broaden total rewards beyond base pay.
Compass Insights
What We Do
A real estate company with a purpose; we are building the first modern real estate platform, pairing the industry’s top talent with technology to make the search and sell experience intelligent and seamless.
Why Work With Us
We are a tech company reinventing the space. To lead the industry requires the smartest tools built by the brightest minds across engineering, design, and strategy. Through our proprietary platform, Compass is changing how agents and clients navigate the process of finding or selling a home. Join our team today!
