hackquest logo

Python Developer

W

WHR Global Consulting

Full-time
San Mateo, CA, USA

Job Overview

Technical Expertise: Proficiency in Python, experience with Flask or Django, and SQL knowledge. Key Responsibilities: Design, build, and deploy backend systems, integrate machine-learning models, and diagnose production issues. Collaboration: Work closely with founders and cross-functional teams to define and ship new product features. Production Experience: Maintain backend components supporting real users and familiarity with AWS, GCP, or similar cloud services.

 

Responsibilities

This is a hands-on backend role on a tiny, high-caliber founding team. As a Software Developer, you’ll help build the core platform that powers their AI-driven CAD tools for hardware engineers. You’ll work primarily in Python, owning backend features end-to-end—from design and implementation through testing and deployment—while collaborating closely with the founders on product direction.

 

What you’ll do

  • Design, build, and maintain robust, scalable backend services in Python.
  • Develop APIs and backend components that power AI-driven CAD workflows and improve overall system performance.
  • Collaborate with founders and cross-functional partners to define, design, and ship new product features.
  • Participate in code reviews, testing, and debugging to ensure high-quality, reliable software.
  • Implement and integrate machine-learning models and algorithms into production features (with support from the ML team).
  • Diagnose and resolve production issues; improve observability and reliability over time.
  • Contribute across the full development lifecycle, from early technical design through launch and iteration.
  • Stay current on relevant backend, cloud, and ML tooling and bring practical, modern solutions back to the team.

 

Qualifications

  • Looking for a strong Python backend engineer who is excited about AI-driven products and comfortable working in a fast-moving, high-ownership startup environment.
  • Core engineering skills
  • 1–4+ years of professional experience as a Software Developer / Software Engineer (or equivalent experience from internships + projects).
  • Strong proficiency in Python and modern software engineering practices (testing, code review, version control).
  • Experience building backend services and APIs using frameworks such as Flask or Django.
  • Working knowledge of SQL and relational databases; able to design, query, and optimize schemas.
  • Backend & product experience
  • Experience building and maintaining server-side components that support real users in production.
  • Familiarity with basic cloud infrastructure (AWS, GCP, or similar) and deploying backend services.
  • Comfortable debugging performance issues and improving responsiveness and reliability over time.
  • Machine learning exposure
  • Familiarity with machine-learning concepts and tools (e.g., NumPy, PyTorch/TensorFlow, scikit-learn).
  • Interest in working closely with ML engineers to integrate models into product features—even if you’re not an ML expert yet.
  • Startup mindset & collaboration
  • Ability to thrive in a fast-paced, early-stage startup: you’re comfortable wearing multiple hats and dealing with ambiguity.
  • Strong ownership mentality—willing to take responsibility for projects end-to-end.
  • Excellent problem-solving skills, attention to detail, and a bias toward shipping.
  • Clear, direct communication and strong teamwork skills; you’re comfortable working closely with a small, highly technical founding team.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

 

Ideal Candidate

Product-minded builder who loves turning ideas into reliable, maintainable code. You’re fluent in Python, comfortable with backend frameworks like Flask or Django, and you care about performance, correctness, and clean abstractions. You’re curious about how ML can power better tools, even if you’re not an ML expert yet, and you’re excited to work closely with founders and customers to ship the right thing — not just more lines of code. Most of all, you like small teams, high ownership, and the idea of spending the next few years working on a single, hard problem: making AI-powered CAD the new standard for hardware design.