Senior Software Engineer

We’re looking for a Senior Software Engineer (Backend Leaning) to join our growing team and play a key role in building our entire product platform - AI analysis systems, E-commerce platform, and reporting applications. You’ll focus on improving the performance of our AI analysis and building new features to support our clients.

In this role, you’ll be expected to work closely with product, design, and fellow engineers to deliver user-facing features, refine our internal APIs, and evolve our platform architecture as we scale. You will see projects through from conception to production and everything in between.

Responsibilities

• Drive Technical Decisions
  • Propose, architect, and implement projects from the ground up.
  • Design, implement, and maintain scalable systems and APIs.
  • Drive modernization of legacy systems and ensure adherence to best practices.
• Collaborate & Communicate
  • Work directly with other engineers, designers, and product management to efficiently deliver high-quality features for both external and internal audiences.
  • Build, test, and deploy new features across frontend and backend systems.
  • Ensure performant, accessible, and maintainable code on both client and server sides.
• Take Ownership & Propose Improvements
  • Don’t simply write code, own it all the way to production.
  • Continually improve our software delivery process.
  • Stay current with emerging technologies and frameworks, evaluating their fit for the organization.
  • Propose and lead initiatives that improve developer experience, CI/CD pipelines, and internal tooling.
  • Identify and resolve performance bottlenecks across frontend and backend services.

Requirements

• 4+ years of professional experience building backend systems (Typescript and Python are a plus)
• Experience designing and integrating with APIs
• Strong knowledge of SQL (PostgreSQL preferred) and data modeling best practices
• Familiarity with modern CI/CD pipelines (GitHub Actions preferred)
• Experience improving codebases through testing, observability, and refactoring
• Strong communication and collaboration skills, with a product-minded approach
• An understanding of security issues and responsibilities

Nice to Haves

• Experience working in a regulated environment (HIPAA)
• Experience with AWS and/or infrastructure as code (IaC)
• Familiarity with AI and/or ML (e.g. linear optimization, regression models, etc.)