Engineering Manager - Kubeflow/MLOps - Python/Kubernetes
Home based - Americas, EMEA
Applications have closed
Canonical Ltd.
Canonical makes open source secure, reliable and easy to use, providing support for Ubuntu and a portfolio of enterprise-grade technologies. Founded in 2004, Canonical operates globally with team members in over 80 countries.Manage a team of engineers delivering a world-class machine learning operations platform that can be deployed on any Kubernetes. We're building the most robust, well-integrated and sustainable way of operating a comprehensive MLOps platform on Kubernetes, powered by Juju and Charmed Operators.
Location: Remote role for candidates in AMER and EMEA.
What your day will look like
- Lead a world-class rigorous software engineering process
- Lead the design and implementation of Charmed Operators
- Collaborate with other leaders to develop best practices
- Work with partners and the open source community
- Coach, mentor and develop engineers across the business
What we are looking for in you
- Exceptional academic track record in maths and the sciences
- Demonstrated ability to design and build high quality software
- High level of proficiency in Python and with Kubernetes
- Demonstrated ability to build and lead engineering teams
- Willingness to travel up to 4 times a year for internal events
Additional skills that you might also bring
- Experienced in Machine Learning tooling
- Experienced in the operation of Machine Learning tooling at scale
- Competency in Go programming
- Experience with working in and contributing to open source communities
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we’ve been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues at ‘sprints’
- Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
#LI-remote
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Kubeflow Kubernetes Machine Learning MLOps Open Source Python
Perks/benefits: Career development Competitive pay Equity Parental leave Team events Travel
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs