Salary
💰 $160,000 - $190,000 per year
Tech Stack
AWSDockerKubernetesMicroservicesPython
About the role
- 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
- 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).
- 5+ years of experience delivering meaningful software projects to production (conception through design, implementation, deployment, and iteration).
- Experience delivering high-quality customer experiences on large consumer-facing websites; deep understanding of front-end technology stacks and performant 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 and leveraging LLMs to enhance coding efficiency.
- Inquisitive, ready to engage in vibrant debate, make difficult decisions quickly, and learn continuously.
- Experience integrating or optimizing LLM-powered workflows (preferred).
- Familiarity with financial services, fintech, real estate, or home lending technology systems (preferred).
- Experience in modern frontend frameworks or API contract design (preferred).
- Experience with observability tools like Datadog (preferred).