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The Rovo Mobile team seeks an experienced principal mobile developer skilled in React Native to help build AI vision on mobile and maintain the Rovo app at Atlassian. You will collaborate with design to develop new features and workflows in the Rovo Mobile app and verify their impact and usability, while delivering regular releases with the team. As an engineer on the team, you will be responsible for feature development and building fast, testable, scalable infrastructure, focused on customer-centric experiences. You’ll drive collaboration with engineers, designers, and managers to understand user pain points, iterate on solutions, contribute to code reviews and documentation, and tackle complex bug fixes, leading projects from technical design through launch to operation. The role also includes onboarding and mentoring junior engineers.

Atlassian is seeking a Principal Security Engineer with a focus on AI/ML to secure models, data pipelines, and inference services, with the ability to hire from any location in Australia and New Zealand due to time zone overlap. The role centers on safeguarding AI platforms and product experiences, partnering across engineering, platform, infrastructure, and privacy to foster a secure, trustworthy AI that meets industry standards. As the Principal Product Security Engineer, you’ll serve as the technical SME, promote automation, review designs and architectures, and empower engineering partner teams with the latest tools and methodologies for AI security. On day one, candidates should have hands-on experience securing AI/ML systems, cloud security architecture for AI/ML workloads, coding in Java, JavaScript, Python, or Go (and at least one scripting language), and a track record of leading large-scale projects and providing SME guidance. Nice-to-have qualifications include security-focused roles, application security for ML/LLM services, mentoring, CVEs, open-source security contributions, and delivering industry presentations.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, aligning with its mission to unleash the potential of every team. Its well-known products like Jira, Confluence, and Bitbucket support collaboration across diverse teams and have enabled significant achievements, such as the NASA Mars Rover launch and Cochlear’s ability to help those born deaf hear. The Central AI Org drives AI innovation across Atlassian products, aims to deliver seamless AI experiences, and is building a centralized Search, Q&A, and Conversational AI system while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by creating productive, secure tools that integrate with the Atlassian Data Platform to help teams develop, deploy, and measure AI/ML experiences. As a Senior Machine Learning System Engineer, you would help develop core infrastructure, collaborate with product teams like Jira and Confluence, curate datasets, fine-tune LLMs, lead projects from design to launch, and mentor junior engineers while delivering solutions used by millions.

Atlassian is seeking a Cloud Network Engineer for its Edge Networking team to scale cloud networking services and ensure a reliable network experience for users of Jira, Confluence, Trello, and Bitbucket. The Edge Networking team owns the cloud infrastructure, tooling, and automation that support Atlassian’s global customers. The ideal candidate is a technical leader with knowledge of current industry trends in networking, proxies, and reliability, who can balance operational and project work, share knowledge, and bring programming and operational experience to drive modernization. Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events, contributing to large projects, designing new network features, investigating security, reliability, and cost efficiency, and mentoring and hiring. The role reports to the Senior Engineering Manager of Edge Networking and offers flexible work locations (office, home, or hybrid) with hiring in any country where Atlassian has a legal entity.

Atlassian supports flexible work options—office, from home, or a combination—and hires in any country where it has a legal entity. The role is Principal Machine Learning Systems Engineer on the Future Team Search Platform, delivering ML-powered, low-latency search experiences across Atlassian products with scalable runtime and robust serving infrastructure. You will tackle large, complex problems from design to launch, architect systems, develop and deploy ranking models, perform feature engineering for offline training and online inference at scale, build data infrastructure, and oversee end-to-end deployment with continuous evaluation and monitoring, while leading code reviews and cross-team collaboration. The ideal candidate has 10+ years of hands-on software/tech leadership with end-to-end SDLC responsibility, experience with ML workflows and observability at scale, a proven track record of leading AI/ML products, a CS-related degree, proficiency in Java/Python/Kotlin/Go/TypeScript, cloud experience (AWS/GCP/Azure), mentoring skills, and a customer-impact mindset. Preferred qualifications include experience with OpenSearch/Elasticsearch, developer experience or productivity, online/offline experimentation, CI/CD, and 2+ years of running search systems at scale.

Atlassian offers its employees flexible work options, allowing them to choose between remote, in-office, or hybrid models to better manage personal priorities. The company hires in various countries where it has legal entities and values the contributions of Senior Support Engineers, who provide essential technical support to enterprise customers transitioning to Atlassian Cloud products. These engineers enhance customer experience by troubleshooting issues through multiple communication channels and ensuring timely resolutions. They also play a role in case reviews to identify operational trends and improve support strategies, while advocating for customer needs to influence product enhancements. The position requires a senior engineer with strong communication skills in both Japanese and English, and may involve occasional weekend shifts to assist customers in Japan effectively.

At Atlassian, employees have the flexibility to work from home, in the office, or a combination of both, enabling them to balance personal and professional commitments. The role of a Senior Support Engineer is vital in assisting enterprise customers with transitioning from On-premise/Data Center products to Atlassian Cloud and addressing technical issues. These engineers enhance customer experience by troubleshooting, diagnosing, and resolving issues through various support channels, including phone calls and screen shares. They also collaborate with other teams, advocate for customer needs, and contribute to continuous improvement while managing escalations. The position requires proficiency in both Japanese and English, emphasizing effective communication to support customers in Japan.

Atlassian offers flexible work options, allowing employees to work from home, in an office, or a combination of both, which helps them balance personal and professional priorities. The company can hire globally where they have a legal entity, with remote roles available for candidates in Australia and New Zealand. The Platform Engineering Organisation is seeking Senior Principal Engineers to lead significant transformations that support customer needs, focusing on complex architectural challenges. Successful candidates will collaborate with various leaders to align technical strategies with company goals while promoting innovation and improving the engineering culture across the APAC region. Responsibilities include shaping technical direction, influencing broader strategies, mentoring engineers, and ensuring operational excellence within the organization.