Job Description
Title: Engineering Manager, AI-First Cloud Development

Team: Technology

Location: Hybrid, must be within range of our Waterloo Office

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. If you don't meet every requirement, we still encourage you to apply! Many strong candidates don't check every box. We value potential, growth, and impact as much as experience.

AI Expectations
• 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.

We expect AI to be a core engineering capability. Claude and Claude Code should help our teams understand faster, design better, build faster, test more intelligently, automate repetitive work, debug more effectively, and continuously learn.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.