Python and Kubernetes Specialist Engineers

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Posted 2 days ago Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Dubai, AE Senior Salary Range: To be discussed Full Job Description Summary Canonical seeks Python and Kubernetes Specialist Engineers for open-source AI/ML solutions, collaborating globally and supporting public/private cloud infrastructures. Description Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in enterprise initiatives such as public cloud, data science, AI, engineering innovation, and Io T. Our customers include leading public cloud and silicon providers, and industry leaders across sectors. We promote global distributed collaboration, with 1000+ colleagues in 70+ countries, and few roles based in offices. Teams meet 2-4 times yearly in interesting locations worldwide. The company is founder-led, profitable, and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML, and Analytics solutions to build open-source solutions for public cloud and private infrastructure. As a software engineer, you'll work on end-to-end data analytics and MLOps solutions using tools like Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance, visualization tools like Apache Super Set, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions like Apache Trino or Click House. These solutions may run on servers, in the cloud, on machines, on Kubernetes, on desktops, or as web services. We serve individual users, community members, and large enterprises, making our primary work free, with optional Pro subscriptions. Location: Our teams are distributed across time zones. Most members and managers are in similar time zones to facilitate collaboration. What your day will look like: Develop understanding of Linux stack, from kernel to application layer Design, build, and maintain solutions on cloud and local systems Master distributed systems concepts such as observability and tracing Work with Kubernetes and open-source applications Collaborate with a distributed team of engineers, designers, and product managers Debug issues and engage with upstream and Ubuntu communities Share ideas and collaborate on solutions What we are looking for in you: Experience with Python in professional or academic settings Strong academic record Degree in a technical field or equivalent experience Confidence in communication and feedback exchange Proven track record of exceeding expectations Passion for technology demonstrated through personal projects Work ethic and confidence to collaborate effectively Excellent English communication skills Experience with Linux (Debian or Ubuntu preferred) Interpersonal skills, curiosity, flexibility, accountability Appreciation for diversity and multicultural environments Self-motivation and thoughtfulness Result-oriented with a drive to meet commitments Willingness to travel twice a year for up to two weeks Additional skills that would be nice to have: Experience building automated machine learning solutions and data pipelines Hands-on experience with ML libraries and tools Experience with container technologies (Docker, LXD, Kubernetes) Experience with public clouds (AWS, Azure, GCP) Knowledge of cloud computing Passion for software quality and testing Open source project experience What we offer colleagues: Distributed work environment with biannual in-person team sprints USD 2,000 annual learning and development budget Annual compensation review Recognition rewards Annual leave, maternity and paternity leave Employee Assistance Programme Travel opportunities to meet colleagues Travel upgrades for company events About Canonical: Canonical is a pioneering open source company behind Ubuntu, shaping the future of software. We recruit globally, set high standards, and foster excellence. Most colleagues work remotely, and working here challenges you to grow and innovate. Canonical is an equal opportunity employer: We value diversity and are committed to creating an inclusive workplace free from discrimination. #J-18808-Ljbffr