Jobs at Atlassian

The Solution Sales Executive role is responsible for selling Atlassian solutions, likely focused on Jira Service Management and Jira Align. The provided description contains no detailed responsibilities or qualification requirements. The position is remote and based in Sydney, Australia, with potential eligibility for benefits, bonuses, commissions, and equity.

Implements, operates, and improves enterprise security controls across identity, endpoints, cloud, SaaS, networks, and data. Builds automation using scripts, APIs, infrastructure-as-code, and CI/CD security checks. Supports IAM, endpoint protection, DLP, vendor risk assessments, physical access integrations, incident troubleshooting, and security operations. Partners with engineering, IT, legal, privacy, and business teams to deploy secure baselines, remediate risks, monitor control health, and improve enterprise security capabilities.

Implements and operates enterprise security controls across identity, endpoints, cloud, SaaS, networks, and data. Automates security workflows using scripts, APIs, infrastructure as code, and CI/CD checks. Maintains IAM, endpoint protection, DLP, device posture, and secure configuration baselines. Supports vendor risk reviews, insider-risk monitoring, physical access integrations, incident troubleshooting, on-call operations, documentation, and remediation of security gaps across corporate technology environments.

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.

Design, build, deploy, and operate agentic LLM harnesses powering Rovo AI features. Improve production model quality, reliability, and cost; develop evaluations, datasets, benchmarks, fine-tuning, and model-serving capabilities. Shape long-term LLM engineering direction, lead technical initiatives, influence stakeholders, guide virtual squads, and coach junior engineers.