Engineering | Bengaluru, India | Remote, Remote | Remote, India
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About AI & ML Platform TeamThe AI & ML platform team builds and runs the infrastructure that underpins dozens of Atlassian's AI, Machine Learning & Search capabilities across our wide range of products. Our mission is to democratise AI & Machine Learning for Atlassian's teams, customers and ecosystem. We do this by creating foundational infrastructure and tools that are user-friendly and reliable - accelerating the development, deployment, measurement, and operation of AI & ML experiences. Our team owns infrastructure such as the platform we use to run advanced generative LLMs & other models, the GPU accelerated model serving platform teams across Atlassian use to deploy their own models, the data access and training infrastructure we are using to develop our next generation of in house AI, the feature stores we use to run personalised recommendations in production, and many other capabilities. We work very closely with our stakeholders - the product & search teams - to help navigate the rapidly evolving space and helping deliver Atlassian Intelligence features to customers.
AI & ML Platform Team teams are distributed across Australia, India, Singapore & the US, and sit within the Central AI organisation along side Search & Conversational AI teams.
You will work closely with our leadership group of the AI & ML Platform team, technical program managers, stakeholders & architects to influence the direction of the platform and plan the steps to get there - in the rapidly changing AI domain. You will be responsible for building effective teams, empowering them to achieve their goals, and putting those goals into a broader context. Your greatest responsibility will be looking after the individuals reporting to you coaching and supporting them in their professional development, unlocking their potential, and challenging them to step outside their comfort zone to grow and excel. As a hands-on engineering leader, you will also contribute to the engineering and operational practices and bring in a continuous improvement mindset. As the AI space is evolving quickly - as a team close to the technology there is a great opportunity for thought leadership and helping influence the rest of the company on how they can use our platform best.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
On their first day, we'll expect- Significant technical experience with building large-scale backend software / platforms
- Experience leading, supporting & growing large development teams
- Familiarity with agile software development methodologies
- Ability to drive high technical standards, pushing innovation, quality, and operational excellence
- Driving clarity from requirements and providing direction in ambiguous environments
- Strong execution focus and proven track record of complex software delivery to production environments
It's great if you have- Experience in AI & ML or Data
- Experience in defining a strategic roadmap for products and platforms
- Experience with distributed development teams across multiple geographies
- Continuous delivery with a strong bias for action
Your background- 5+ years of software development management experience, managing team of 5 plus engineers
- Demonstrated experience partnering with product managers and cross-functional stakeholders to create the course of a platform
- Knowledge of Agile software development methodologies (e.g., XP, scrum)
- Demonstrated experience mentoring and growing high performing engineering teams
- Contributed in the past to the technical strategy of the team
Benefits & PerksAtlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
