Quick overview
Job description
About Zūm:
This role is based at the Company’s headquarters in Redwood Shores, CA and requires you to be onsite 3x/week (Monday, Tuesday, and Thursday). We will only consider candidates already based in the Bay Area.
Who You Are:
- You care as much about how software gets built as what it does, and you measure a platform by the features it enables.
- You want to build scalable infrastructure and technologies that enable Zūm products to grow and adapt at the pace today's AI makes possible.
- You lead through execution and influence through adoption of the platforms you build.
- When someone asks for "the best" solution, you map out the tradeoffs, present real options, and commit to a recommendation.
- You start simple, add complexity only when the data proves you need it, and lean on experience when measuring isn't worth the cost.
- Products created on your platform are easy to maintain and a joy to build on.
What You'll Do:
- Own the architecture and roadmap for Zūm's product platform, and build it - our product engineering team uses TypeScript/Node.js, Kubernetes, PostgreSQL, OpenSearch, Redis, Kafka, and gRPC.
- Stay hands-on with the product: build and review features, so foundational layers stay grounded in how they're actually used.
- Work with product teams to decide what stays in the monolith and what becomes its own service, and make that extraction process routine and low-risk when it happens.
- Make security and compliance part of the platform by design: build shared primitives for authentication and access rules to sensitive data, so product teams build on secure, policy-aligned foundations.
- Watch how the platform behaves under real production load and evolve it ahead of need: spot emerging bottlenecks (event-loop stalls, slow queries, locking, index design, partition skew, consumer lag, RPC latency, retry storms, etc.), trace them to the architectural cause, and turn recurring problems into platform improvements.
- Build the rules, automated checks, and tooling improvements that steer AI coding agents toward writing code that already fits platform patterns and conventions.
- Jump in on live platform issues, lead incident and correction-of-error reviews, and own the systemic fixes that follow.
- Act as the escalation point and thought partner for engineering leadership on platform investment and tradeoffs.
What You Bring To Zūm:
- Bachelor's degree or higher in Computer Science or equivalent experience.
- 8+ years of industry experience as a Software Engineer, with significant time spent building platforms, shared services, or core backend systems that other engineering teams build on.
- Deep expertise in Node.js/TypeScript (or a comparable backend language) and strong command of relational database design, including schema modeling, indexing, and query performance.
- Hands-on experience with the building blocks of a modern service-oriented backend: Kubernetes, Kafka or equivalent messaging systems, gRPC or similar RPC frameworks, Redis, and search/indexing systems like OpenSearch.
- Experience designing and building authentication/authorization systems, including SSO protocols (SAML, OIDC) and authorization models (RBAC/ABAC).
- Track record of extracting services from a monolith deliberately and safely, with clear judgment about what should and shouldn't be split out.
- Comfort diagnosing performance issues at the architectural level: query plans, locking, partitioning, consumer lag, RPC latency, and similar failure modes.
- Proven ability to set technical direction and drive adoption through good defaults, not mandate.
- Excellent communication skills, comfortable holding a technical line respectfully in design reviews.
- Comfort operating with a high degree of ownership and autonomy in a fast-moving startup environment.
- Good sense of humor with a great ability to work with others.
Bonus Points:
- Passionate about working for a mission-driven company.
- Experience embedding engineering standards into AI coding agents or developer tooling (linting/agent rules, code generation harnesses, automated review checks).
- Experience building platforms in a regulated or compliance-sensitive space (e.g., education, healthcare, fintech) where access control and data handling are first-class concerns.
- Experience working in transportation, logistics, or another operationally complex industry.
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