[Hiring] Senior ML Performance Engineer @Atlassian

Role Description

Be the backbone of Atlassian’s Agentic AI Integration Products:

• The Agentic AI Integrations team is responsible for the industry-leading Rovo MCP Server and Agent to Agent integrations.
• Mission to catapult Atlassian value by leveraging cutting-edge AI capabilities like Claude Skills, ChatGPT/Claude Apps.

Knack to work on bleeding-edge AI technologies:

• Passionate to explore and learn AI transformative technologies.
• Quickly pivot from prototyping new initiatives to building highly-scalable enterprise-grade AI products.

ML performance, quality, and systems acumen-ship:

• Experience in tuning MCP or agent-facing servers for latency, reliability, token efficiency, and tool-selection quality.
• Includes dynamic tool discovery, context and response optimization, observability, automated evals, and semantic retrieval.

Responsibilities:

• Design, build, and evolve MCP servers, tools, and agent-facing APIs with concise schemas, predictable errors, safe mutations, and clear outcome-oriented contracts.
• Develop accessible, responsive, and performant React and TypeScript experiences.
• Build reusable components, design-system patterns, and frontend architecture.
• Integrate GraphQL and REST APIs, SDKs, streaming responses, and real-time data.
• Optimize token and context efficiency through various techniques.
• Improve end-to-end performance and reliability across multiple systems.
• Build semantic retrieval capabilities using various strategies.
• Define and operate AI/ML quality programs with various metrics and evaluations.
• Integrate automated evaluations into CI/CD and release gates.
• Implement enterprise security and partner cross-functionally for maintainable AI integrations.

Qualifications

• 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.
• Hands-on experience designing or integrating MCP servers, tools, agent-facing APIs, or related frameworks.
• Demonstrated ability to apply distributed-systems principles.
• Experience measuring and improving latency, throughput, saturation, error rates, and availability.
• Practical experience with AI/ML evaluation and quality engineering.
• Knowledge of semantic search and retrieval systems.
• Experience integrating GraphQL, REST, JSON Schema, streaming APIs, SDKs, and event-driven systems.
• Proficiency in at least one additional systems or back-end language such as Python or Go.
• Proven ability to lead cross-functional engineering initiatives and mentor other engineers.

Preferred Skills

• Familiarity with MCP architecture, A2A specification, and agent collaboration frameworks.
• Experience with observability, vector databases, and secure model-to-model communication.
• Background in enterprise integration patterns, API governance, or developer experience platforms.
• Contributions to open-source AI frameworks or standards development initiatives.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs.

• Base pay ranges for new hires in the United States:
• Zone A: $180,000 - $235,000
• Zone B: $162,000 - $211,500
• Zone C: $149,400 - $195,050

This role may also be eligible for benefits, bonuses, commissions, and equity.