Principal Software Engineer (SRE & Architecture)

Do you bring deep full-stack software engineering experience and the judgment to identify, design and deliver the right solutions? Are you comfortable using AI-assisted development to improve the resilience, performance and cost efficiency of a cloud platform?

If this sounds like you and you are driven by purpose, join SOPHiA GENETICS as a Principal Software Engineer and enable us to make a positive impact on the outcomes for cancer and rare disease patients worldwide.

Enjoy the flexibility of a hybrid work schedule allowing 2 days PW home working, collaborating closely with colleagues in our Boston, MA corporate office.

Our Mission

We believe there is a smarter, more data-driven way to make decisions in healthcare and our cloud-native AI powered SOPHiA DDM Platform makes that vision a reality on a daily basis. You will have direct input to our mission to democratize data-driven medicine for the ultimate benefit of cancer and rare disease patients across the globe.

Your Mission

As a Principal Software Engineer in our SRE & Architecture team within Tech, reporting to the Head of Architecture and SRE, you will take ownership of improving the resilience, performance and operational cost of the SOPHiA DDM Platform. You will understand the platform and its domain, use monitoring and analysis to anticipate scaling risks, and make pragmatic decisions about when to improve, redesign or rebuild services. This is a hands-on engineering role for someone comfortable developing with AI and contributing to AI-related projects; you do not need to be an AI engineer.

The value you add

• Improve platform resilience and reduce operational cost by identifying, prioritising and resolving the issues with the greatest impact.
• Build systematic monitoring and analysis capabilities that surface performance constraints and scaling risks before they become production incidents.
• Design and deliver clean, simple and high-performing full-stack solutions, from root-cause analysis and prototyping through testing and deployment.
• Make well-reasoned decisions about when to optimise, refactor or rebuild, preserving what works while addressing fundamental design limitations.
• Raise the engineering quality bar through architectural design reviews, technical reviews and code reviews, providing clear challenge when proposed solutions are not ready for production.