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About the Role

Search Platform’s mission is to power world-class, trusted cross-product knowledge search and discovery for people and agents across all of Atlassian’s surfaces. Agentic search is pushing the boundaries of what is possible with today’s search systems and this role is intended to redefine context search and discovery for AI. You'll lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale and set the technical direction for the department.

Responsibilities

Set technical direction for ML-based search serving: ranking models, retrieval architectures, inference pipelines, and serving infrastructure
Drive measurable improvements across search quality, latency, serving cost, and system reliability through rigorous experimentation and principled engineering
Identify and pursue moonshots — high-ambition, calculated bets on search techniques that deliver step-change improvements
Lead model optimisation end-to-end: quantisation, distillation, batching strategies, hardware-aware inference, and latency/accuracy trade-offs
Define and enforce ML systems standards: model evaluation, shadow traffic testing, rollout safety, and production observability
Mentor and elevate senior engineers across Search Serving; raise the technical bar through design reviews, architecture decisions, and hands-on guidance
Partner across teams - Search Quality, ML Platform, and product - to align roadmaps and unblock high-impact work
Translate ambiguous problems into clear technical bets with measurable success criteria

Requirements

12+ years of engineering experience, with significant depth in ML systems and production ML infrastructure
Proven track record designing and shipping low-latency ML serving systems at scale (sub-100ms ranking, retrieval, or inference pipelines)
Deep expertise in information retrieval and search: dense/sparse retrieval, neural reranking, hybrid search, learning-to-rank
Strong command of model optimisation techniques and experience with large-scale serving infrastructure: model serving frameworks (Triton, TorchServe, vLLM or equivalent), GPU/CPU optimisation, autoscaling
Track record of technical leadership without authority - influencing architecture and decisions across team and org boundaries
Demonstrated ability to identify high-leverage research directions and drive them from prototype to production
Experience with online experimentation and rigorous evaluation frameworks for ML systems
Strong communication skills - able to distill complex trade-offs into crisp decisions for technical and non-technical audiences
Experience with enterprise search, multi-tenant serving, compliance-constrained environments (FedRAMP, isolated cloud), or cloud-native ML on GCP/AWS.

Skills

ML systems
production ML infrastructure
low-latency ML serving systems
information retrieval
search
dense/sparse retrieval
neural reranking
hybrid search
learning-to-rank
model optimisation techniques
large-scale serving infrastructure
model serving frameworks
GPU/CPU optimisation
autoscaling
technical leadership
online experimentation
rigorous evaluation frameworks for ML systems
communication skills
enterprise search
multi-tenant serving
compliance-constrained environments
cloud-native ML on GCP/AWS

Location

Any country where Atlassian has a legal entity

Work Type

Office
Home
Combination of office and home

Experience Level

12+ years of engineering experience

Salary/Compensations

Zone A: $272,700 - $356,025
Zone B: $245,430 - $320,423
Zone C: $226,341 - $295,501

Benefits

Health and wellbeing resources
Paid volunteer days
Benefits, bonuses, commissions, and equity may be available

About the Company

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

Equal Opportunity

We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.