Senior Software Engineer
About The Position
Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Your Future Team - DevAI Atlassian’s journey began with Jira, a tool designed to help developers track bugs and manage their work. Over the years, Atlassian has expanded its suite of productivity tools, yet developers remain at the heart of our focus. We are revitalizing our product lineup to better serve this core audience. Atlassian's ecosystem uniquely positions us to enhance every step of the developers’ productivity cycle. Central to this effort is the creation of a new DevAI pillar, aimed at deeply integrating AI to redefine developer experiences. This includes everything from a daily-use “developer dash” to AI-driven code reviews and autonomous code generation to complete tasks. Our vision is to transform software development, and we have ambitious plans to achieve this. As part of our team, you will play a crucial role in innovating the core intelligence solutions within our DevAI products. Together, we are committed to delivering Atlassian’s world-class developer AI products that will shape the future of software development.
Requirements
- Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
- 10+ years of related industry experience in the data science domain and 8+ years of tech leadership or people management with big teams
- Experience building and scaling machine learning models in business applications using large amounts of data
- Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
- Agile development mindset, appreciating the benefit of constant iteration and improvement
Nice To Haves
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
- Experience in developing deep learning-based models and working on LLM-related applications
- Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions.
Responsibilities
- LLM integration
- Prompt engineering
- Developing end-to-end AI features using cutting-edge technologies
- Collaborate closely with a diverse and highly skilled group of scientists and software engineers within our team, as well as with multiple partner teams across the company
Benefits
- health and wellbeing resources
- paid volunteer days
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
