Teams at Atlassian

Build and improve core AI and machine learning infrastructure enabling teams to develop, train, evaluate, deploy, and operate ML models and pipelines. Design scalable distributed systems, support end-to-end ML lifecycles, implement MLOps automation, collaborate with product engineering teams, lead projects from design through launch, review code, document solutions, and mentor junior engineers. Work may include dataset curation, LLM fine-tuning, model serving, monitoring, and generative AI systems.

Lead technical strategy and cross-functional execution for agent integrations, quality measurement, observability, API governance, monetization, rate limits, quotas, runtime safeguards, and platform roadmaps. Translate ambiguous, multi-team challenges into milestones, ownership models, technical decisions, and scalable standards for tool ecosystems and automation platforms.

Leads Atlassian’s global detection and response organization, overseeing security strategy, detection engineering, 24x7 incident response, threat intelligence, hunting, security operations, and automation. Builds cloud-native detection capabilities, improves telemetry and security data platforms, responsibly applies ML and LLMs, and establishes governance, metrics, compliance readiness, executive communications, and customer trust across global teams.