Job Overview
- 7+ years building and reviewing production software.
- React 18+ and TypeScript in strict mode, with real experience building reusable component libraries or SDKs — not only application screens.
- You know the difference: public API design, peer dependencies, versioning, and not breaking your consumers.
- Solid CSS/SCSS, and an eye for building a component other teams will theme.
C# / .NET and Web API. - AWS: Lambda, API Gateway, DynamoDB, and infrastructure-as-code (CDK, Terraform, or SAM).
- A testing discipline that holds up under a hard deadline — Vitest / React Testing Library and xUnit / NUnit, or close equivalents.
- We hold a high coverage bar and expect the tests to be worth the coverage.
- Shipping to a fixed external deadline on a live, user-facing application, including feature-flagged rollout and rollback.
- A track record of joining in-flight programs and being useful quickly. Scope and deliverables
- Embedded analytics integration in the host application, including authentication and row-level security pass-through.
- A versioned, documented React component library published to our internal registry, consumable by other product teams.
- Supporting .NET Web API and AWS serverless services, defined in infrastructure-as-code.
- Feature-flagged rollout with a tested rollback path, plus parity validation against the legacy platform.
- Handoff documentation sufficient for our engineers to own the work after the engagement ends. What will set you apart
- Embedding a third-party BI or analytics product in a host application — Logi Symphony, MicroStrategy Embedded, Power BI Embedded, Tableau Embedding API, Looker, Sisense. The specific product doesn’t matter; working around an embedded SDK’s limits transfers directly.
- Migrating users off a legacy platform, where “the numbers must match the old system” is the acceptance criterion.
- Publishing internal npm packages — semantic versioning, ESM packaging, type declarations, Artifactory or a similar private registry.
- OIDC / Okta / JWT validation, and token exchange between services.
- Data warehouse familiarity (Snowflake) and a working understanding of row-level security.
- AI-assisted development workflows (Claude Code or similar).
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