Staff Software Engineer

About the role

CodePath is seeking a Staff Software Engineer to lead architecture, product direction, and team capacity for our sophisticated learning platform. You will work across the full technical stack to build and scale tools that support our mission of educating computer science students. This high-ownership role involves collaborating with stakeholders to define product needs and leading the execution of complex technical projects.

Responsibilities

• Architect and build web applications across Ruby on Rails, Sinatra/Padrino, and Django that directly support our mission
• Make consequential technical decisions on infrastructure, data modeling, API design, and emerging technologies with full ownership of the tradeoffs
• Set the code quality bar through reviews, architectural guidance, and constructive feedback
• Write automated tests that reflect real edge cases, not just coverage targets
• Identify performance bottlenecks and systemic issues before they become outages
• Mentor other engineers and raise the technical ceiling of the team

Required skills

• Ruby on Rails
• PostgreSQL
• Database design
• System architecture
• Web stack
• API design

Nice to have

• Edtech
• LLMs
• Generative AI
• Docker
• Ansible
• Terraform
• GCP

Qualifications

• 10+ years of software engineering experience, including at least 5 years with Ruby on Rails
• Familiarity with Claude Code or similar development tools
• Demonstrated ability to lead technical decisions in a small, autonomous team environment

Benefits

• Medical, dental, and vision insurance
• Healthcare reimbursement
• FSA
• 401(k)
• Life & disability insurance
• Generous PTO
• Paid parental leave
• Professional development stipend
• Home office setup support
• Public Service Loan Forgiveness

About the Company

CodePath is the largest educator of college computer science students in the country, having trained over 40,000 students from 1,000+ universities. We are currently scaling our team to support a major AI workforce initiative and move at the speed of AI transformation.