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Mach7 Technologies Ltd.
Engineering Manager, AI-First Cloud Development
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What they do
A Cloud Architect designs a business' cloud computing strategy. Oversees application architecture and deployment in cloud environments. Integrates cloud applications with other applications. Acts as an advisor to the business on ongoing cloud management strategies.
$121,433 / year median in Vermont
+10% projected growth
Job Description
Job listing Job details Job Information Date Opened 09/01/2026 Job Type Full time Industry Health Care City Waterloo Southeast State/Province Ontario Country Canada Zip/Postal Code N2L 6B5
AI does not replace engineering judgment. We want a leader who understands how to combine strong engineers with AI to achieve outcomes that were previously difficult or impossible. If your vision for AI adoption is simply giving engineers access to a chatbot, this is probably not the role for you. CLIMBS Culture Code At Mach7, our culture is rooted in CLIMBS, a mindset that guides how we show up, collaborate, and grow each day. More than just a set of values, CLIMBS represents the standard we hold ourselves to and the way we approach our work, our teams, and our impact. C — Customer First Every decision starts with the customer's perspective. Success = customer outcomes and satisfaction. L — Learn & Grow Curiosity keeps us climbing. We embrace continuous learning, share knowledge freely, and invest in each other's development. I — Innovate for Impact We value meaningful, outcome-driven innovation over activity. We challenge the status quo and align behind real customer benefit. M — Minimize Complexity & Move As complex as needed but no more . Agility beats bureaucracy. We move fast and stay focused on what matters. B — Build Good Sh
Job Description Title:
Engineering Manager, AI-First Cloud Development Team:
Technology Location:
Hybrid, must be within range of our Waterloo Office About the Role 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:- Solve meaningful customer problems together
- 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:
- Waterloo feels different because you are there
- 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
- Recruit and develop exceptional engineering talent
- Connect Waterloo with our broader global engineering organization What We're Looking For Required
- Experience leading, coaching, and developing software engineers
- Strong software engineering fundamentals
- Significant cloud architecture experience
- Experience with AWS, Azure, GCP, or comparable cloud platforms
- Understanding of distributed systems, APIs, security, scalability, resilience, and observability
- Experience with DevOps practices, CI/CD, deployment automation, and infrastructure automation
- A track record of improving engineering practices and delivery
- Strong customer orientation and product thinking
- High standards without ego
- An experimental, continuous-learning mindset
- Curiosity about how AI will reshape software engineering
- Awareness of emerging AI-native delivery models, like AI-DLC
- The ability to create energy and momentum around you Preferred
- Experience with
AWS, JAVA, C
#/.NET, React, PostgreSQL, Kubernetes/container platforms, DevOps practices and CI/CD, healthcare technology, medical imaging, or regulated software would be particularly valuable.- Experience with Claude, Claude Code, or comparable AI development tools is highly valued.
- Prior hands-on experience with AI-DLC is not required — a strong foundation in agile delivery and DevOps practices and the strong desire to explore to methods matters far more We recognize that candidates bring diverse experiences and backgrounds.
- Integrate AI into daily work — leverage AI tools to enhance efficiency, elevate quality, and support smarter, faster decision-making.
- Apply critical human judgment to AI output — review, validate, and take full accountability for AI-assisted work, ensuring accuracy and reliability.
- Continuously improve through AI — proactively identify opportunities to optimize processes, rethink workflows, and challenge existing approaches rather than maintaining the status quo.
- Use AI responsibly and ethically — safeguard sensitive information, adhere to company guidelines, and actively identify risks such as bias, inaccuracies, or misuse.
AI does not replace engineering judgment. We want a leader who understands how to combine strong engineers with AI to achieve outcomes that were previously difficult or impossible. If your vision for AI adoption is simply giving engineers access to a chatbot, this is probably not the role for you. CLIMBS Culture Code At Mach7, our culture is rooted in CLIMBS, a mindset that guides how we show up, collaborate, and grow each day. More than just a set of values, CLIMBS represents the standard we hold ourselves to and the way we approach our work, our teams, and our impact. C — Customer First Every decision starts with the customer's perspective. Success = customer outcomes and satisfaction. L — Learn & Grow Curiosity keeps us climbing. We embrace continuous learning, share knowledge freely, and invest in each other's development. I — Innovate for Impact We value meaningful, outcome-driven innovation over activity. We challenge the status quo and align behind real customer benefit. M — Minimize Complexity & Move As complex as needed but no more . Agility beats bureaucracy. We move fast and stay focused on what matters. B — Build Good Sh
- t (Yes, intentionally memorable.