The OfferUp Business team owns the platforms that power every business vertical on our marketplace; Storefronts, Auto Dealers, Services, Rentals, and Jobs. Our customers aren't casually browsing; they're running businesses on top of what we build, so every feature we ship has a direct, measurable impact on their livelihood and on OfferUp's revenue.
We operate the full stack end-to-end: including microservices that handle some of the highest RPS and TPS in the company, and integrations with partners like Stripe and Shopify. We move fast, instrument everything, and treat experimentation as a first-class part of the workflow. We've barely scratched the surface of what these verticals can become, and the roadmap is wide open for someone who wants to shape it.
At many organizations, your role begins and ends with the code. On our team, we’re different. You own a feature from concept to fruition.
Your responsibilities will include everything from writing well architected and thoroughly tested code, to rolling out the feature by analyzing metrics. You also get to take ownership beyond your technical area by working with cross-functional team members.
As a Staff Software Engineer on the Business team, you'll be both a hands-on builder and a technical leader. You'll set the technical direction for the team, ship high-impact features with strong operational rigor, raise the bar on engineering quality across the org, and find creative ways to unlock new business surfaces.
- Define the multi-quarter technical roadmap for the Business team and align it with company priorities
- Design and operate high-throughput microservices where reliability, latency, and observability are non-negotiable
- Work collaboratively with cross-functional teams to design and implement new features across all five business verticals
- Communicate complex technical designs to both technical and non technical stakeholders
- Collaborate with engineering teams across OfferUp to surface common pain points, develop solutions, and evangelize best practices
- Drive experimentation strategy, design A/B tests, interpret results, and use data to decide what ships
- Make pragmatic calls on what to refactor, replace, or leave alone, and bring the team along on the reasoning
- Partner deeply with Product, Design, and Business stakeholders to drive features and assess timelines
- Participate in a reasonable on-call rotation with the rest of the team
- Help maintain code quality across our existing applications
- Create solutions and frameworks that make the rest of the team better and faster
- Champion the use of AI tooling across the team. From day-to-day coding assistants to agentic workflows for testing, code review, and operational tasks. Help define the guidelines and best practices that scale these tools across OfferUp engineering
- Experience building and operating data-driven applications at scale
- Experience performing data analysis and translating results into business recommendations
- Hands-on experience using AI coding tools (Claude Code, Cursor, Copilot, or similar) in a production engineering workflow, with a point of view on where they accelerate work and where they don't
- Experience using good judgment to balance engineering improvements with business needs
- Experience developing both short- and long-term technical vision for a set of services or features
- Strong Java skills (required) and fluency in any other modern language; deep grounding in OOP, microservices, and distributed-systems design
- Hands-on experience designing and building microservices and scalable distributed systems
- Strong knowledge of data structures and object-oriented design
- Hands-on experience with load balancing and handling large traffic volumes
- A bias toward shipping, learning from production, and iterating quickly
- BS or MS in Computer Science, or equivalent practical experience
- Experience with payment integrations (Stripe or similar) and third-party platform integrations (Shopify, marketplaces)
- Experience with A/B testing platforms (Statsig, LaunchDarkly, Optimizely) and analytics warehouses (BigQuery, Snowflake)