3 days ago

Software Engineer 3

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Build tooling and evaluation systems for agent skills, including CLIs, reusable libraries, evaluation harnesses, and CI workflows. Design datasets and workflows that compare agent behavior against baselines and produce actionable quality signals. Implement agent metrics and observability (routing, outcomes, tool calls, latency, token usage) and create safety/quality gates for agent-authored content using rule packs and static analysis. Partner with security and product teams to ship reliable, developer-friendly automation.

Location: Vermont

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain agent skills and the infrastructure to validate, evaluate, publish, and maintain them.
•Design evaluation datasets/workflows that compare agent behavior to baselines and produce actionable quality signals.
•Implement agent metrics and observability for routing, outcomes, tool calls, latency, and token usage.
•Create safety and quality gates for agent-authored content using rule packs, static analysis, confidence thresholds, and structured verdicts.
•Develop CLIs/libraries/MCP integrations and integrate them into GitHub Actions and other CI workflows with secrets, annotations, exit codes, and artifacts.

Pay and Benefits

Salary: USD 109,000 - 215,000 annually

Perks:Equity401kPaid LeaveParental LeaveFertility AssistanceHealth Insurance

Key Requirements

•2+ years 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 developers can use and that are reliable in automation.
•Experience reasoning about correctness and safety with ambiguous input, nondeterministic output, false positives, or untrusted content.

Experience:2+ yearsDeveloper toolsInternal platformsAutomation systemsR&DAI/LLM applications

Skills:CommunicationCollaborationProblem-solvingStakeholder alignment

Languages:English

Tech Stack:API designTestingError handlingMaintainabilityCommand-line toolsCLIsStatic analysisCI/CDCI workflowsGitHub ActionsGitHubMCPRule packsLintingGoPythonJavaScriptTypeScriptJavaC#

Company Brief

MongoDB

Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn

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MongoDB

3 days ago

Software Engineer 3

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Vermont

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain agent skills and the infrastructure to validate, evaluate, publish, and maintain them.
•Design evaluation datasets/workflows that compare agent behavior to baselines and produce actionable quality signals.
•Implement agent metrics and observability for routing, outcomes, tool calls, latency, and token usage.
•Create safety and quality gates for agent-authored content using rule packs, static analysis, confidence thresholds, and structured verdicts.
•Develop CLIs/libraries/MCP integrations and integrate them into GitHub Actions and other CI workflows with secrets, annotations, exit codes, and artifacts.

Pay and Benefits

Salary: USD 109,000 - 215,000 annually

Perks:Equity401kPaid LeaveParental LeaveFertility AssistanceHealth Insurance

Key Requirements

•2+ years 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 developers can use and that are reliable in automation.
•Experience reasoning about correctness and safety with ambiguous input, nondeterministic output, false positives, or untrusted content.

Experience:2+ yearsDeveloper toolsInternal platformsAutomation systemsR&DAI/LLM applications

Skills:CommunicationCollaborationProblem-solvingStakeholder alignment

Languages:English

Tech Stack:API designTestingError handlingMaintainabilityCommand-line toolsCLIsStatic analysisCI/CDCI workflowsGitHub ActionsGitHubMCPRule packsLintingGoPythonJavaScriptTypeScriptJavaC#

Company Brief

MongoDB

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn