Senior Software Engineer, Back End

November 22

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Logo of Tomo

Tomo

Finance • Real Estate • Fintech

Tomo is a mortgage company that aims to transform the homebuying experience by making the mortgage process easier and more efficient for homebuyers. They offer services such as underwritten pre-approval with minimal paperwork, on-time closings, and a price match guarantee to ensure competitive rates without lender fees. Tomo is focused on customer satisfaction, emphasizing responsiveness and transparency in their services. They provide user-friendly tools such as a rate calculator and loan advisors to assist customers in evaluating loan options and affordability, ensuring a seamless homebuying journey. Tomo operates with a core mission to put homebuyers in control, promising to make the process as smooth and hassle-free as possible.

51 - 200 employees

Founded 2020

💸 Finance

🏠 Real Estate

💳 Fintech

📋 Description

• 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.

🎯 Requirements

• 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.

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