#13125
ce requests, respond to incidents, collect and maintain knowledge, manage assets and configuration items, and more. Specifically this team within ITSM works on using cutting-edge AI and machine learning algorithms to automate IT operational tasks, troubleshoot problems, and reduce mental overload for oncall engineers and alike. By weaving Generative AI into our product we revolutionise AIOps by moving from a traditional reactive troubleshooting-based system to a proactive problem-solving approach. Our AI models are designed to evolve over time through continuous learning making them more robust, accurate, and resilient.
What you will do
As a Principal Engineer on the ITSM team, you will get the opportunity to work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI ( Mean time to identify). You will use your software development expertise to solve difficult problems, tackling complex 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:
Shape the future of AIOps: Be at the forefront of innovation, shaping the next generation of AI-powered operations tools that predict, prevent, and resolve IT issues before they impact our customers
Master Generative AI: Delve into the world of generative models, exploring their potential to detect anomalies, automate responses, and personalize remediation plans
Become a machine learning maestro: Hone your skills in both supervised and unsupervised learning, constructing algorithms that analyze mountains of data to uncover hidden patterns and optimize system performance
Collaborate with diverse minds: Partner with a brilliant team of engineers, data scientists, and researchers, cross-pollinating ideas and learning from each other's expertise
Make a tangible impact: Your work will directly influence the reliability and performance of Atlassian's critical software, driving customer satisfaction and propelling our business forward. This is an extremely high-visibility role
Routinely tackle complex architectural challenges, spar with other principal engineers to build ML pipelines and models that scale for thousands of customers
Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems.
Develop leadership skills: You'll have the opportunity to mentor junior engineers, guide projects, and partner across engineering teams to take on company-wide initiatives spanning multiple projects.
Our tech stack is primarily Python/Java/Kotlin built on AWS.
On your first day, we'll expect you to have
10+ years of total experience
Fluency in Python
Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP.
Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas
Good Understanding of Machine Learning project lifecycle
Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models )
Familiarity with MLOps and experience with scaling and deploying Machine Learning models
It would be great, but not required if you have