AI/ML Engineering Manager leading ML teams and complex customer engagements at Caylent, an AI - first AWS cloud services company. Shaping production ML architecture, MLOps standards, and pre - sales strategy.
About the role
- Engineering Manager leading teams that build distributed-systems testing infrastructure for Canonical, the company behind Ubuntu. Driving cloud reliability, automation, and engineering excellence globally.
Responsibilities
- Lead, coach, and develop a high-performing team of software and quality engineers from graduate to senior level
- Set expectations, strengthen engineering practices, and ensure timely delivery against agreed goals
- Partner with senior engineers on technical strategy, architecture, roadmap, and engineering standards
- Guide automated testing infrastructure development for distributed-system reliability, interoperability, and resilience
- Improve CI pipelines, testing tools, and reporting across bare-metal, private-cloud, and public-cloud environments
- Enable Canonical engineering teams to adopt distributed-systems testing practices and tooling
- Provide technical leadership through design and code reviews, debugging, and hands-on engineering
- Represent the team with stakeholders and collaborate across Canonical on quality engineering, infrastructure, and developer experience
Requirements
- An exceptional academic track record from both high school and university
- Experience in leading, coaching, and mentoring software engineers
- Professional software engineering experience with Python or Go
- Expertise in distributed systems, cloud infrastructure, quality engineering, or a closely related domain
- Strong knowledge of modern software testing processes, strategies, and automation
- Experience with Linux (Debian or Ubuntu preferred)
- Strong technical judgement and ability to engage in code reviews, architecture discussions, and software design
- Experience working in an agile development environment and ability to organize a team to deliver high-quality results
- Professional written and spoken English
- Ability to travel twice a year for company events up to two weeks each
- Experience with cloud technologies such as Kubernetes, OpenStack, Juju, Terraform, AWS, Google Cloud, or Azure is valued
- Experience designing testing strategies for distributed or cloud-native systems is valued
- Experience building or operating large-scale CI/CD and test infrastructure is valued
- Experience applying AI or machine learning to test analysis, failure classification, or engineering workflows is valued
- Experience deploying, operating, or debugging distributed systems is valued
- Experience leading globally distributed teams is valued
Benefits
- Performance-driven annual bonus
- Distributed work environment with twice-yearly team sprints in person
- Personal learning and development budget of USD 2,000 per year
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Maternity and paternity leave
- Employee Assistance Programme and wellness support
- Opportunity to travel to new locations to meet colleagues
- Priority Pass and travel upgrades for long-haul company events
Job title
Job type
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Degree requirement
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