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MongoDB

Software Engineer 3

MongoDB · Alberta; British Columbia; Manitoba; Nova Scotia; Ontario; Quebec

Posted about 2 months ago · Previously reposted

or apply directly on MongoDB's site. We never take the application ourselves.

Is this posting real?

This role has been open
63 days
MongoDB's roles stay open a median of 66 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
0% of MongoDB's roles list one
Ghost-job risk at MongoDB
high
337 stale, 7 reposted of 411 open
Hiring momentum
575 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from MongoDB's own greenhouse board since 2026-08-03. Full hiring picture for MongoDB.

About this role

As a Software Engineer 3 on the Agent Research and Tooling team at MongoDB, you will develop and maintain tooling and evaluation systems for agent skills. Your responsibilities will include building command-line tools, reusable libraries, and CI workflows, as well as designing evaluation datasets and safety gates for agent-authored content. You will collaborate with various teams to ensure the quality and reliability of the systems you create.

Our read on this posting3.0out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of MongoDB as an employer.

What you need

  • 2+ years of experience building production software, developer tools, internal platforms, or automation systems
  • 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 in an evolving R&D environment where the right abstraction emerges through prototypes and feedback

Nice to have

  • Experience with agentic systems, LLM applications, prompt or rubric-based evaluation, or AI-assisted development
  • Experience building eval harnesses, benchmark datasets, quality metrics, LLM-as-judge workflows, or human-review tooling
  • Experience with Go, Python, JavaScript/TypeScript, Java, or C#
  • Experience with GitHub Actions security, secret handling, static rule engines, or policy enforcement
  • Experience moving prototypes into production

What you get

  • Equity
  • Participation in the employee stock purchase program
  • Flexible paid time off
  • 20 weeks fully-paid gender-neutral parental leave
  • Fertility and adoption assistance
  • Registered Retirement Savings Plan (RRSP) with employer match

Worth weighing

  • Role involves working with AI and developer tooling, which may require adapting to new technologies and methodologies
  • No specific mention of team size or structure, which could affect collaboration dynamics
  • Base salary range is provided, but actual compensation may vary based on individual factors
  • Remote work is available, but the posting does not specify if there are any location-based restrictions beyond Canada

Summarised from MongoDB's posting. Read the full original.

Listed by MongoDB on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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