Senior Software Engineer (Infrastructure) - job 1 of 2

As a Senior Software Engineer (Infrastructure) at Fathom, your main responsibilities will include ensuring the stability, security, and performance of our platform. You'll also develop internal tools that enhance the efficiency of our machine learning and software engineers, maintain and configure development systems, and collaborate with product engineering teams to anticipate future infrastructure needs.

Fathom is looking for candidates with 5+ years of software engineering experience, a solid understanding of algorithms, data structures, and systems design. Familiarity with secure cloud platforms, database operations (SQL and NoSQL), and a demonstrated ability to make and drive technical infrastructure decisions are also essential.

Ideal candidates for the Senior Software Engineer (Infrastructure) position at Fathom should be fluent in Python, have experience with tools such as Docker, Kubernetes, and/or Spark. Familiarity with continuous integration systems like CircleCI or Jenkins along with an interest in machine learning will also give you an edge.

The Senior Software Engineer (Infrastructure) at Fathom plays a crucial role in our mission by ensuring that our AI algorithms run flawlessly, enabling us to transform the way healthcare data is managed and optimizing billing processes that ultimately save hospitals significant costs.

Fathom provides an attractive compensation package that includes a salary ranging from $175,000 CAD to $220,000 CAD, company equity, unlimited sick days, comprehensive medical/dental/vision coverage, RRSP matching, and a generous home office budget, among other perks like team-building events and annual company off-sites.

When answering this question, highlight your relevant projects and technologies you've used. Discuss specific cloud services you have experience with, detail security measures you've implemented, and illustrate how these have positively impacted your previous teams or projects.

Talk about your preferred tools (like CircleCI or Jenkins), explaining the reasons behind your choice, such as usability, compatibility with your projects, or their unique features that have streamlined your development process.

Outline your systematic approach to identifying, diagnosing, and resolving performance issues. Discuss any specific tools or monitoring techniques you've used and share a relevant success story.

Focus on a specific project where you took ownership. Discuss the objectives, your strategic planning, the challenges faced, and the outcome. Highlight collaboration with team members and any lessons learned.

Be prepared to describe specific tools you've built or contributed to. Talk about the problems these tools solved, how they were implemented, and the efficiency metrics that showcase their success.

Share your strategies for continued learning, such as attending workshops, online courses, or participating in tech forums. Mention any recent technologies you've implemented based on your learning.

Discuss your familiarity with both SQL and NoSQL databases. Share examples of how you've chosen a specific database solution for projects based on their unique needs and your experience managing them.

Outline your knowledge of current security protocols, data encryption, and best practices for securing cloud applications. Give specific examples of how you've implemented these in previous roles.

Discuss any specific frameworks or methodologies you use for prioritization, such as Agile or Scrum. Provide an example of a time when your prioritization led to successful project deliverables.

In your response, address the principles of MLOps, including collaboration and automation in the machine learning lifecycle. Share any personal experience with integrating MLOps practices into infrastructure.