Senior ML Performance Engineer

Atlassian
Mountain View, San Francisco, Seattle
Workplace: RemoteFull timeUSD 149,400 - 235,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsSkills: ["Cross-functional collaboration","Clear communication","Mentoring engineers"]

Build and evolve agentic AI integration systems with a focus on MCP servers, agent-facing APIs, and reliable product experiences. Optimize end-to-end latency, throughput, reliability, token/context efficiency, and semantic retrieval using embeddings and hybrid ranking. Partner across front-end (React/TypeScript) and back-end services (GraphQL/REST, streaming, SDKs) while implementing AI/ML quality evaluation, CI/CD release gates, and enterprise security for maintainable, production-ready integrations.

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FursaFursa
Atlassian
Atlassian
2 days ago

Senior ML Performance Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and evolve agentic AI integration systems with a focus on MCP servers, agent-facing APIs, and reliable product experiences. Optimize end-to-end latency, throughput, reliability, token/context efficiency, and semantic retrieval using embeddings and hybrid ranking. Partner across front-end (React/TypeScript) and back-end services (GraphQL/REST, streaming, SDKs) while implementing AI/ML quality evaluation, CI/CD release gates, and enterprise security for maintainable, production-ready integrations.
Location: Mountain View, San Francisco, Seattle
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and evolve MCP servers, tools, and agent-facing APIs with concise schemas and outcome-oriented contracts.
  • •Develop accessible, responsive, and performant React and TypeScript experiences for discovering, configuring, and using agent capabilities and MCP tools.
  • •Integrate GraphQL, REST, SDKs, streaming responses, and real-time data into reliable, user-friendly AI workflows.
  • •Optimize token/context efficiency and tool-call behavior using dynamic tool discovery, lazy loading, bounded responses, pagination, caching, and reduced loops.
  • •Improve ML performance and reliability via observability, tracing, SLOs, production diagnostics, and AI/ML quality programs with automated evaluations and regression prevention.

Pay and Benefits

Salary: USD 149,400 - 235,000 annually
Equity and Bonus:Equity

Key Requirements

  • •7+ years of software engineering experience building and operating enterprise systems, APIs, or cloud-native products.
  • •Strong proficiency in TypeScript/JavaScript and modern front-end development with React, building accessible, responsive, and performant web applications.
  • •Hands-on experience designing or integrating MCP servers, tools, agent-facing APIs, or related context and agent frameworks.
  • •Distributed-systems experience covering concurrency, connection pooling, caching, retries, timeouts, backpressure, autoscaling, and load shedding.
  • •Experience integrating GraphQL, REST, JSON Schema, streaming APIs, SDKs, and event-driven systems into reliable product experiences.
Experience:7+ yearsEnterprise systemsAPIsCloud-nativeAI/MLAgentic AIDistributed systems
Skills:Cross-functional collaborationClear communicationMentoring engineers
Tech Stack:TypeScriptJavaScriptReactMCPGraphQLRESTJSON SchemaStreaming APIsSDKsEvent-driven systemsPythonGoEmbeddingsVector databasesVector indexesHybrid retrievalRankingRerankingCI/CDOAuth 2.1

Company Brief

Atlassian
Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sydney, Australia
Founded: 2002
Glassdoor
Glassdoor: 3.1
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