Mach7 Technologies Healthcare/BioTech

Engineering Manager, AI-First Cloud Development

Waterloo, Canada In person Full-time

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. 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.

About

Mach7

  • Mach7 Technologies helps healthcare
  • organizations bring all their medical images together in one place so they can
  • be easily accessed, shared, and used to support patient care. Our enterprise
  • imaging solutions, including a vendor-neutral archive (VNA), enterprise PACS,
  • the eUnity enterprise diagnostic viewer, and teleradiology workflows,
  • consolidate imaging from across the enterprise into a single, accessible source
  • of truth. Built on open standards, including DICOM and a configurable HL7
  • engine, and free from proprietary data lock-in, our technology lets providers
  • store, view, and share images on their own terms. The result is a simpler, more
  • connected imaging environment that puts data ownership back where it belongs:
  • with the people delivering care. Your data, your infrastructure, your choice.

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.

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.) Extreme ownership, craftsmanship, and pride in

high-quality work.

S — Everyone Sells

Not just Sales—Engineering, Product, Support, Finance, IT. We align behind

commercial success to enable company success

Recruitment Transparency

  • This posting is for a new vacancy.
  • Mach7 Technologies uses AI-assisted tools as part of its recruitment process to screen and assess applications.
  • Final hiring decisions are made by human reviewers.

Job description provided by Mach7 Technologies.
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