Lead the technical direction for Atlassian’s Search Serving platform, building globally scalable, low-latency agentic search systems. Own architecture for retrieval, indexing, query processing, and ML inference while improving quality, reliability, scalability, operability, and cost. Establish production ML practices for evaluation, experimentation, observability, rollouts, and incident response. Optimize inference for embedding, retrieval, and ranking models, and lead cross-team initiatives while mentoring senior engineers and aligning technical leaders.
Engineering | Seattle, United States | San Francisco, United States | Mountain View, United States or Remote | New York, United States
Working at Atlassian
Atlassians 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.
Your future team: Search Platform
The Search Platform team is responsible for powering
Working at Atlassian
Atlassians 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.
Your future team: Search Platform
The Search Platform team is responsible for powering
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.
Top Skills:
Artificial IntelligenceAtlassian RovoCloud Software PlatformsTeamwork Graph
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and improve Confluence AI experiences across frontend, backend, and AI integrations. Own features from design through launch, apply generative AI, retrieval, agents, and evaluation techniques, create automated quality testing, monitor production performance, run adoption experiments, and collaborate cross-functionally. Mentor engineers and contribute to architecture, observability, testing, safeguards, and scalable software delivery.
Top Skills:
Ai AgentsAutomated EvaluationBackend DevelopmentFrontend DevelopmentGenerative AiInformation RetrievalMachine LearningObservabilityProduction Monitoring
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead strategy and execution for an open-weight LLM inference platform. Manage GPU capacity, inference optimization, model migrations, availability, benchmarking, governance, cost efficiency, and model selection. Translate business goals into technical priorities, develop roadmaps and cost models, and coordinate engineers, architects, security, legal, finance, product, and external cloud or GPU partners.
Top Skills:
Cloud InfrastructureGpu Capacity PlanningInference OptimizationLlm Inference PlatformsModel BenchmarkingOpen-Weight ModelsOss Models
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
