MongoDB

MongoDB

MongoDB provides a developer data platform that simplifies data management and accelerates application development, enabling businesses to leverage modern database technology for innovative solutions across various industries.

Internet Software & Services
1K-5K
Founded 2007

Description

  • Build and maintain agent skills and the infrastructure to validate, evaluate, publish, and maintain them.
  • Design evaluation datasets and workflows that compare agent behavior against a baseline and surface actionable quality signals.
  • Build agent metrics and observability for skill selection, routing, success and failure outcomes, tool calls, latency, and token usage.
  • Design safety and quality gates for agent-authored content using rule packs, static analysis, confidence thresholds, structured verdicts, and bounded suppression.
  • Create CLIs, libraries, and MCP integrations that run in local development and CI and can be adopted by other repositories.
  • Integrate tooling into GitHub Actions and other CI workflows, including secrets, annotations, exit codes, and artifacts.
  • Build code-generation quality checks such as anti-pattern catalogs and linting for AI-generated MongoDB code.
  • Investigate failures such as nondeterministic results, false positives, and unsafe generated guidance, then turn them into reusable improvements.
  • Collaborate with engineers, security partners, and product teams to communicate trade-offs, risks, and ownership across teams.
  • Own projects independently while helping improve shared systems and workflows.

Requirements

  • 2+ years of experience building production software, developer tools, internal platforms, or automation systems.
  • Strong software engineering fundamentals in API design, testing, error handling, and maintainability.
  • Experience building CLIs, libraries, test infrastructure, static analysis, or CI/CD workflows.
  • Ability to design systems that are usable by developers and reliable in automation.
  • Experience reasoning about correctness and safety with ambiguous input, nondeterministic output, false positives, or untrusted content.
  • Comfort working in an evolving R&D environment where abstractions emerge through prototypes and feedback.
  • Strong written and verbal communication skills for explaining technical trade-offs and aligning stakeholders across teams.
  • Experience with agentic systems, LLM applications, prompt or rubric-based evaluation, or AI-assisted development (nice to have).
  • Experience building eval harnesses, benchmark datasets, quality metrics, LLM-as-judge workflows, or human-review tooling (nice to have).
  • Experience with Go, Python, JavaScript/TypeScript, Java, or C# (nice to have).

Benefits

  • Base salary range in Canada: $108,000–$149,000 CAD.
  • Equity as part of the total compensation package.
  • Employee stock purchase program.
  • Flexible paid time off.
  • 20 weeks fully paid gender-neutral parental leave.
  • Fertility and adoption assistance.
  • RRSP with employer match.
  • Health, dental, and vision benefits.
  • Mental health counseling, backup child care, and backup elder care.

Interested in this position?

Apply directly on the company website

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