Lead Python Software Engineer

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We’re recruiting on behalf of a well-known nonprofit organization with a strong reputation, excellent employee retention, and exceptional benefits and retirement offerings. This is a hybrid opportunity based in the Columbus, Ohio metro area, with a 3-day onsite hybrid schedule, and H1B sponsorship is available.

Our client is investing in a flagship SaaS platform and is seeking a senior-level engineer to tackle complex, large-scale technical challenges. This is a hands-on role where the Lead title reflects technical depth, not people management responsibility. The team is open to hiring at the Lead or Principal level depending on experience.

What You’ll Do

• Design and build scalable backend systems supporting a high-traffic platform
• Contribute to architecture decisions across APIs, search, and data systems
• Optimize performance, scalability, and reliability of core services
• Participate in code reviews and uphold engineering best practices
• Provide technical mentorship and guidance across the team
  
  

What They’re Looking For

• Strong current experience with Python
• Deep expertise with Django, PostgreSQL, and API design
• Experience building and optimizing high-scale applications
• Background in cloud platforms, distributed systems, and microservices
• Prior Java experience is a strong plus
• Open to candidates with strong recent Python experience and earlier Java background
• Ability to operate at a Lead or Principal technical level
• Stable work history; not a fit for frequent job changes
• Formal technical training or equivalent hands-on experience
  
  

Additional Details

• Salary up to $160K depending on experience
• Must live in the Columbus, OH metro area
• No relocation assistance provided
• Candidates considering a move to Columbus must have a genuine personal reason for relocating, such as family or long-term ties, and should be planning a full household move
  
  

This is a strong opportunity to join a mission-driven organization where engineers work on meaningful, large-scale problems in a stable, collaborative environment.