Principal Software Engineer

Who you are

• You bring deep full-stack software engineering experience and the judgment to identify, design and deliver the right solutions
• Comfortable using AI-assisted development to improve the resilience, performance and cost efficiency of a cloud platform
• We know that every background is different, but to be best set for success we see you bringing:
• Significant hands-on experience designing, building, testing and operating full-stack web applications and services in production
• Evidence of independently identifying complex technical problems, proposing appropriate solutions and taking them through to delivery
• Strong architectural and systems-design judgment, including the ability to assess performance, resilience, scalability and operational cost trade-offs
• Experience using observability data such as monitoring, logs and dashboards to analyse service and infrastructure performance; experience with Grafana is valuable
• A pragmatic approach to modernising systems, with the judgment to distinguish between unnecessary rewrites and changes required to solve fundamental problems
• Confidence using AI-assisted development tools and the ability to decide when AI is—and is not—the right tool for the work
• Experience working close to customers or users, with direct exposure to feedback and accountability for the quality and performance of what you deliver
• The willingness to participate in a weekend on-call rotation; details of the associated remuneration will be discussed during the process

What the job involves

• 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
• 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
• 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

The application process

• Starting Date: As available