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Who we are

Tomo is a digital mortgage company on a mission to eliminate the greed and complexity in lending, helping homebuyers save thousands of dollars. Our AI-driven customer experience makes the lending process faster, less frustrating, and more affordable. By passing these savings directly to homebuyers, we eliminate excessive fees and inflated rates that cost Americans billions each year. Backed by top-tier venture investors, including Ribbit, Citi Ventures, NFX and Progressive Insurance, Tomo is poised to become one of the most valuable fintech startups of our generation.

Senior Software Engineer, Back End

Location:  Remote, US. Candidates located near Seattle, WA, Detroit, MI or New York, NY may work from our offices there whenever they choose to.

Reports To: Engineering Manager

Type:  Full-Time; Remote

You’ll be joining our demand generation team whose mission is to build transparent, delightful experiences to demystify the mortgage process, empowering homebuyers to purchase with confidence.

We’re looking for someone who:

• Has empathy for homebuyers and enjoys building technology that improves their journey from discovery to closing.
• Brings their own unique background and experiences to the team, adding fresh ideas and perspectives.
• Thrives in a startup environment with ambiguity and enjoys collaborating to figure out the best path forward.
• Is a team-first engineer who jumps in to fight fires, provides constructive feedback, and always thinks about both the customer and Tomo as a whole.
• Learns continuously and stays current with new trends and technologies, especially in backend engineering and AI.
• Has experience leveraging LLMs in software engineering and is excited to push our capabilities further.
• Works independently and makes sound decisions without requiring heavy oversight.
• Enjoys working with a geographically distributed team (US)

You'll be:

• Designing, building, and maintaining scalable Python microservices that power Tomo’s platform.
• Owning backend architecture decisions and contributing to API design and integration patterns across services.
• Deploying, monitoring, and supporting systems in production as part of an on-call rotation.
• Driving healthy engineering practices, including code review, iterative delivery, automated testing, and continuous deployment.
• Collaborating closely with product managers, designers, and frontend engineers to deliver seamless customer experiences.
• Leveraging AWS infrastructure, Kubernetes, and modern DevOps tooling to ensure reliability and performance.
• Support deployed systems in production as part of an on-call rotation.

You'll need:

• A history (5+ years) of experience delivering meaningful software projects to production—from conception through design, implementation, deployment, and iteration.
• Experience with delivering high-quality customer experiences on large consumer-facing websites, including a deep understanding of back-end technology stacks and how to use them to produce performant, satisfying, well-crafted user experiences.
• Understanding of modern software engineering practices, including logging, monitoring, continuous deployment, and automated testing
• Proficiency with Python and experience building backend systems using microservice architectures.
• Solid understanding of AWS services, containerization (Docker), and orchestration (Kubernetes).
• Experience using AI-powered developer tools is a must. You’ve leveraged LLMs or similar technologies to enhance your coding efficiency, even if not yet working with fully agentic coding systems.
• To be inquisitive, ready to engage in vibrant debate, make difficult decisions quickly, and learn continuously.

You might also have:

• Experience integrating or optimizing LLM-powered workflows.
• Familiarity with financial services, fintech, real estate, or home lending technology systems.
• Experience with modern frontend frameworks or API contract design.
• Experience with observability tools like Datadog.

#LI-Remote

 

The expected annual compensation for this position will be between

$160,000 - $190,000 USD