Duties:
- Deliver working code against scoped tickets across the program's workstreams (entity clustering, risk scoring, internal review tooling, due diligence tooling, AI-assisted review)
- Build and extend Go-based backend services capability APIs, risk-scoring logic, data models following existing patterns in the team's codebase
- Build/extend internal tooling surfaces used by compliance agents to review and action business-customer records
- Integrate with third-party and internal systems: identity-verification vendors, Salesforce (DD case management), Snowflake, sanctions screening and clustering services
- Write tests, participate in code review, and follow existing team conventions
- Turn around well-defined tickets quickly across shifting priorities and multiple workstreams; flag blockers, scope creep, or cross-team dependencies rather than absorbing them
- Document technical decisions clearly enough to hand off cleanly this is a delivery engagement, so context needs to transfer without requiring your continued presence
Skills:
- 4+ years of professional software engineering experience, backend-leaning or full-stack
- Strong proficiency in Go the primary backend language across this program
- Comfortable working in a modern frontend stack (React/TypeScript, Node) for internal tooling surfaces
- Solid experience building and consuming REST APIs and integrating with third-party vendors
- Strong Git/GitHub workflow fluency (branching, PR review, code owners) and working DevOps knowledge (CI/CD pipelines, containerization/Docker, basic deployment tooling)
- Able to work independently against scoped tickets across multiple concurrent workstreams without needing deep, ongoing onboarding into service ownership
- Strong written communication you document decisions and hand off context cleanly by default
- Ability to effectively utilize coding agents like Claude and Codex to build and review code; working knowledge of consuming MCP tools
- Comfortable in a fast-moving, ambiguous, compliance-adjacent environment
- Based in North America; able to work core Eastern Time collaboration hours
Education:
- Undergraduate degree in computer engineering, computer science, information technology or a related discipline.
Seniority Level:
Mid-Level