Senior Software Engineer

Overview

About Atlassian

Atlassian's mission "to unleash the potential of every team" is the guiding light behind what we do. We have developed well-known products such as Jira, Confluence and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.

Atlassian helps teams everywhere change the world. Our products are revolutionising the software industry, and helping teams collaborate and create the magic that provides their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to promote humanity.

About Rovo & AI Org

Our organisation is designed to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. Our purpose is to:

About AI & ML Platform Team

Our team is building the foundations to democratise Machine Learning for Atlassian’s teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and utilize them. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. They will seamlessly integrate with the Atlassian Data Platform, enabling teams to efficiently and rapidly incorporate AI & ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to leverage the power of AI & ML without any complications.

Responsibilities

As a Senior Engineer on the AI & ML Platform team, you will build and maintain the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions.. You will use your software development expertise to solve difficult problems, tackling infrastructure and architecture challenges.

You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.

In this role, you'll get the chance to:

• Collaborate with your teammates to solve complex problems, from technical design to launch.

• Routinely tackle complex architecture challenges and define coding standards & patterns for the team.

• Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers.

• Lead the team through times of ambiguity, help them adapt and and deliver positive impact.

• Mentor junior members of the team.

Compensation

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.

Qualifications

You’ll be a great fit if you have:

• 7+ years of experience building and operating large‑scale backend, infrastructure, or ML systems in a cloud environment with strong programming skills in at least one of: Java/Kotlin, Go, or Python,

• Comprehensive ML lifecycle exposure: experience supporting or building systems for training, deployment, and serving of ML/LLM models (online or batch).

• Large‑scale system design: strong experience designing and implementing distributed, fault‑tolerant, high‑throughput services, ideally for ML or data/compute platforms.

• Cloud infrastructure: hands‑on experience with AWS and/or GCP, including networking, security, and compute services (EC2/GKE/EKS, GPUs, autoscaling, load balancing).

• Kubernetes and containers: practical experience building and running services or control planes on Kubernetes (deployments, operators/controllers, scaling, observability).

• MLOps and automation: experience automating deployment and operations of ML workloads – CI/CD, config and secret management, rollout/rollback strategies, monitoring and alerting.

Benefits & Perks

Atlassian 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 go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.