Mach7 Technologies
Waterloo, ON
Job Details:
Title: Engineering Manager, AI-First Cloud Development
Team: Technology
Location: Hybrid, must be within range of our Waterloo Office
Software engineering is changing rapidly. We believe AI will fundamentally change how great teams understand problems, design solutions, build, test, deploy, and operate software. Mach7 Technologies is looking for an Engineering Manager, AI-First Cloud Development to help lead that transformation from our Waterloo office. This is more than a traditional engineering management role. We are looking for a leader who can develop exceptional engineers, strengthen our cloud and DevOps capabilities, embrace AI-assisted development, and help make Waterloo an energized center of engineering excellence. Most importantly, we want someone who believes engineering success is measured by the customer outcomes we improve, not simply the features we deliver.
Your Mission
Build a high-performing Waterloo engineering team where people:
· Challenge each other to continuously improve
· Use Claude to multiply their capabilities
· Build quality and automation into everything they do
· Take ownership from design through production
· Share what they learn
· Move quickly without sacrificing quality
· Are proud of the products and outcomes they create
What Success Looks Like
You will know you are succeeding when:
· Engineers are growing and taking on bigger challenges
· Collaboration and energy are increasing
· Customer problems are visible inside Engineering
· Claude is materially changing how the team works
· Cloud and DevOps capabilities are improving
· Automation is reducing unnecessary manual work
· Teams are delivering faster and more confidently
· Quality, reliability, and operational ownership are improving
· Customers are experiencing better outcomes from what we build
What You'll Do
· Build, coach, and inspire a high-performing engineering team
· Create a positive, collaborative, and energized culture in our Waterloo office
· Develop engineers and emerging technical leaders
· Advance cloud-native architecture and engineering practices
· Strengthen DevOps, CI/CD, deployment automation, observability, and operational ownership
· Help engineers make Claude and AI-assisted development fundamental parts of how they work
· Partner closely with Product to understand customer problems before building solutions
· Pilot emerging AI-native delivery models, like AI-DLC, adapting them to fit our teams as the practice matures
· Encourage engineers to engage directly with customer workflows and outcomes
· Improve engineering speed, quality, security, reliability, and maintainability