Principal Software Engineer, Machine Learning

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

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, Trello, etc., that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.

Our IT Solutions portfolio consists of four products:

Jira Service Management (JSM) empowers Dev and Ops teams to collaborate at high-velocity, so they can respond to business changes and rapidly deliver fantastic service experiences to employees and customers. JSM empowers every team, from IT to HR to Legal, to quickly set up a service desk, continuously adapt to scale needs and deliver outstanding service experiences without the complexity of traditional ITSM solutions. By connecting Dev and Ops, JSM accelerates critical development work, eliminates toil, and tracks changes with ease, with a complete audit trail for every change. In short, it enables high-velocity ITSM.

Opsgenie is a modern incident management platform for operating always-on services, empowering Dev & Ops teams to plan for service disruptions and stay in control during incidents. Opsgenie centralizes alerts, notifies the right people reliably, and enables them to collaborate and take rapid action. Opsgenie operates at five-nines availability and reliability is a vital consideration of every aspect of our software development process. We live and breathe reliability!

Insight is a Jira-native configuration management database (CMDB) that helps teams gain complete visibility into infrastructure dependencies to efficiently manage assets, quickly troubleshoot incidents, and minimize the downstream impact of changes.

Halp is a modern ticketing help desk that captures, tracks, and resolves employee requests directly in Slack and Microsoft Teams.

The Principal Engineer role at Atlassian is an engineering leadership role. When we talk about engineering leadership for a project we mean one in which you were driving some of the bigger architectural decisions on that project, and you had a significant amount of freedom in how the overall problem got solved, and managing the engineering trade-offs. This doesn’t necessarily mean that you were in charge of the project itself, but you did play a key role in delivering outcomes.

We are seeking an industry-recognized technical leader to join the IT Solutions organization as an ML Architect.

• You will work closely with the IT Solutions leadership in engineering, product, and design, in shaping the technical roadmap of smart features in our product portfolio.
• You will be a role model for, and influence a large team of engineers at various seniority levels all the way from new college grads to principal engineers, and coach/mentor engineers across the various teams.
• As a member of the cloud technical architecture group, you will propose and review architectures and designs for smart features.
• You will periodically present technical direction to the CTO, the CTO Leadership Team (CLT), and the Tech Teams triad, consisting of senior executives in the company.

On your first day we’ll expect you to have the following:

• BS degree in Computer Science, Graduate degree preferred.
• At least 12 years of experience in a variety of hands-on software/technology leadership roles, with end-to-end responsibility through the software development lifecycle
• At least 4 years working on SaaS products operating at high-scale, performance, and reliability of at least 4 nines. including design, coding, testing, monitoring, and operations
• At least 4 years of experience in working on Machine Learning (ML) applications for a commercial product
• Well-versed in Python 3.x and extensive experience with ML frameworks and libraries like PyTorch, TensorFlow, pyspark, scikit, Numpy, pandas.
• Experience with the application of ML technologies like Language models, NLP, NLU, Anomaly detection, QA modeling, NER models, BERT, USE, SpanBERT, etc.
• Must have worked with large data sets for fine-tuning and validation
• Strong experience with at least one public cloud system, ideally AWS, including machine learning offerings