{"id":1829575,"url":"https://alion.io/job/atlassian-senior-ml-performance-engineer","title":"Senior ML Performance Engineer","company":{"id":182,"name":"Atlassian","domain":"atlassian.com","url":"https://alion.io/company/atlassian","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States","San Francisco, United States","Seattle, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":168000,"max_usd":299000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":251},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"Hallucination","optional":false},{"name":"Hybrid Search","optional":false},{"name":"JavaScript","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-04T11:58:41Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-07T01:07:53Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Working at Atlassian\nAtlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.\nBe the backbone of Atlassian’s Agentic AI Integration Products : The Agentic AI Integrations team is responsible for the industry-leading Rovo MCP Server, Agent to Agent integrations as well as on the mission to catapult Atlassian value by leveraging cutting-edge AI capabilities like Claude Skills, ChatGPT/Claude Apps etc., essentially we will be working on anything and everything with AI integrations into the Atlassian ecosystem.\nKnack to work on bleeding-edge AI technologies: Passionate to explore and learn AI transformative technologies and quickly pivot from prototyping new initiatives to building highly-scalable enterprise-grade AI products that will be used by 1000s of developers and enterprise users.\nML performance, quality, and systems acumen-ship: Experience in tuning MCP or agent-facing servers for latency, reliability, token efficiency, and tool-selection quality; including dynamic tool discovery, context and response optimization, observability, automated evals, and semantic retrieval using embeddings, vector search, hybrid ranking, and reranking.\nResponsibilities\nDesign, build, and evolve MCP servers, tools, and agent-facing APIs with concise schemas, predictable errors, safe mutations, and clear outcome-oriented contracts.\n\nDevelop accessible, responsive, and performant React and TypeScript experiences that make agent capabilities, MCP tools, and A2A interactions easy to discover, configure, and use.\n\nBuild reusable components, design-system patterns, and frontend architecture that support consistent, scalable user experiences across AI-powered products.\n\nIntegrate GraphQL and REST APIs, SDKs, streaming responses, and real-time data into reliable, user-friendly AI workflows.\n\nOptimize token and context efficiency through dynamic tool discovery, lazy loading, bounded responses, pagination, selective field retrieval, caching, and reduced tool-call loops.\n\nImprove end-to-end performance and reliability across front-end clients, gateways, MCP servers, search services, and downstream product systems through observability, tracing, SLOs, and production diagnostics.\n\nBuild semantic retrieval capabilities using embeddings, chunking, vector indexes, hybrid search, metadata and permission filters, ranking, reranking, and freshness strategies.\n\nDefine and operate AI/ML quality programs with JTBD-based evaluations, benchmark datasets, groundedness and relevance metrics, hallucination and bias detection, safety testing, and human feedback.\n\nIntegrate automated evaluations into CI/CD and release gates to detect regressions across model, prompt, tool, and retrieval changes.\n\nImplement enterprise security and partner cross-functionally to deliver maintainable, well-tested AI integrations, including OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions.\n\nQualifications\n7+ years of software engineering experience building and operating enterprise systems, APIs, or cloud-native products.\n\nStrong proficiency in TypeScript/JavaScript and modern front-end development with React; experience building accessible, responsive, and performant web applications.\n\nHands-on experience designing or integrating MCP servers, tools, agent-facing APIs, or related context and agent frameworks.\n\nDemonstrated ability to apply distributed-systems principles, including concurrency, connection pooling, caching, retries, timeouts, backpressure, autoscaling, and load shedding.\n\nExperience measuring and improving latency, throughput, saturation, error rates, availability, token consumption, and end-to-end task cost.\n\nPractical experience with AI/ML evaluation and quality engineering, including benchmark design, groundedness, relevance, safety, hallucination detection, bias analysis, monitoring, and regression prevention.\n\nKnowledge of semantic search and retrieval systems, including embeddings, vector databases or indexes, hybrid retrieval, ranking, reranking, and permission-aware filtering.\n\nExperience integrating GraphQL, REST, JSON Schema, streaming APIs, SDKs, and event-driven systems into reliable product experiences.\n\nProficiency in at least one additional systems or back-end language such as Python or Go, with strong testing and API design practices.\n\nProven ability to lead cross-functional engineering initiatives, communicate clearly with technical and non-technical partners, and mentor other engineers.\n\nPreferred Skills\nFamiliarity with MCP architecture, A2A specification, and agent collaboration frameworks (e.g., MCP servers, UI clients, and adapters).\n\nExperience with observability, vector databases, and secure model-to-model communication.\n\nBackground in enterprise integration patterns, API governance, or developer experience platforms.\n\nContributions to open-source AI frameworks or standards development initiatives.\n\nWhy Join\nWork at the forefront of AI interoperability and system design.\n\nInfluence emerging standards that define how agents and models communicate.\n\nCollaborate with top engineers and research partners building the next layer of enterprise AI infrastructure.","description_format":"text","description_chars":5502,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Service & Asset Management","Project & Work Management Software","Developer Tools","Intranet & Knowledge Management"],"lifecycle":[{"event":"open","at":"2026-10-04T11:58:41Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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