Job description 

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.

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

Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks).

Experience with MLOps tools ( MLflow, Tecton, Pinecone, Feature Stores )

Experience with AIOps or related fields like IT automation or incident management.

Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).

Experience with using OpenAI LLMs.