Staff Software Engineer

Join Beckett, the trusted authority in sports card and collectibles grading, pricing, and marketplace services. As a Staff Software Engineer, you will play a crucial role in the technical transformation of our platform, leading projects of moderate-to-significant scope and setting the technical direction for your team's domain. You will also foster a culture of knowledge sharing and documentation within your team and with business stakeholders, mentor senior and mid-level engineers, and raise the organization's collective AI fluency.

- Production AWS depth — ECS, Lambda, networking, IAM — and infrastructure-as-code fluency (AWS CDK and/or Terraform)
- Deep relational database expertise (PostgreSQL, MySQL): data modeling, migrations, performance, and the realities of shared-database coupling between services
- 8+ years of professional software engineering experience, including demonstrated technical leadership of multi-engineer, multi-quarter projects
- Expert-level backend engineering in TypeScript/Node.js and/or Java, with the range to be effective across our polyglot estate (TypeScript, Java 21, PHP, Python, C#)
- Strong, hands-on background in AI tooling and usage: daily fluency with AI coding assistants and agentic tools (Claude Code, Copilot, Cursor, or similar), experience integrating them into team workflows (CI, code review, documentation), and mature judgment about verification, security, and the limits of AI-generated code
- Strong distributed-systems fundamentals: service boundaries, API/contract design (REST, GraphQL, gRPC), messaging (SQS), idempotency, and failure handling
- A track record of raising engineering standards: testing strategy, observability, documentation, and incident response
- Full-stack range: hands-on production experience across the entire stack — modern React/Next.js frontends, API and service layers, relational data stores, and the infrastructure they run on — with the judgment to design and review at every layer, even where others do the bulk of the implementation
- Excellent written and verbal communication with technical and business audiences alike
- Proven experience modernizing legacy systems: strangler-fig migrations, service extraction from monoliths, or platform re-architecture under live traffic
- Experience with frontend architecture at scale (design systems, micro-frontends, performance budgets) or mobile (React Native/Expo)
- Experience with e-commerce, marketplace, payments, or high-traffic consumer platforms
- Experience building LLM-powered features or platforms: LLM API integration (Anthropic/OpenAI), retrieval-augmented generation, evals, or agent frameworks (e.g., MCP) — and shipping them to production responsibly
- Data platform exposure (Snowflake, ETL pipelines, dimensional modeling) or applied ML (computer vision)
- Interest in sports cards, gaming, or collectibles!