Staff Full Stack Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Full Stack Software Engineer based in the United States.

• Own full-stack product and operational initiatives from problem framing and planning through implementation, launch, and production validation.
• Translate ambiguous business and customer needs into practical technical plans, milestones, and shippable increments.
• Design, build, and maintain reliable applications across Python/Django backend services and React/TypeScript frontend experiences.
• Make thoughtful architectural decisions spanning data models, APIs, integrations, testing, security, failure handling, and production operations.
• Use AI tools throughout the software development lifecycle to increase speed, quality, and engineering scope while maintaining accountability for the resulting work.
• Rigorously validate AI-assisted output and apply engineering judgment when automated approaches are insufficient.
• Partner directly with Product, Design, Operations, and other stakeholders to understand underlying problems and define measurable outcomes.
• Communicate project progress, technical decisions, risks, dependencies, and blockers clearly and proactively.
• Diagnose production incidents using logs, metrics, traces, profiling, and other operational evidence; restore service responsibly and implement improvements that prevent recurrence.
• Improve engineering systems, tooling, automation, and development practices to help the broader team work more effectively.
• Contribute to scalable solutions involving integrations, asynchronous processing, third-party services, workflows, and other complex production systems.

• 5+ years of professional software engineering experience with demonstrated ownership of meaningful production outcomes.
• Strong backend development expertise with Python and Django.
• Proven experience building user-facing applications with React and TypeScript.
• Experience designing and integrating APIs, relational data models, and third-party services.
• Strong understanding of automated testing, security, data integrity, failure handling, maintainable software design, and production reliability.
• Experience diagnosing production behavior through logs, metrics, traces, profiling, and other operational signals.
• Meaningful professional experience incorporating AI tools into engineering workflows, with the ability to assess and validate AI-generated work critically.
• Ability to explain technical decisions, tradeoffs, risks, and measurable results to both technical and non-technical stakeholders.
• Strong written and verbal communication skills, particularly in a remote and cross-functional environment.
• Experience working in lean product organizations with significant engineering autonomy is highly valuable.
• Experience with marketplaces, matching, routing, lead management, workflow automation, or other multi-sided products is a plus.
• Familiarity with integration-heavy systems involving CRMs, communications platforms, webhooks, asynchronous jobs, or third-party APIs is preferred.
• Experience with PostgreSQL and background-processing technologies such as Celery is advantageous.
• Experience delivering complete features across backend and frontend systems, as well as handling incidents, migrations, concurrency, and data-quality challenges, is a strong plus.
• Experience transforming successful AI workflows into reusable automation, tooling, or team practices is desirable.

• $180,000–$250,000 total compensation package.
• Comprehensive medical, dental, vision, and life insurance.
• 18 days of paid time off, increasing with tenure, plus 10 paid holidays.
• Annual professional development budget for learning and career growth.
• Paid tenure sabbaticals to recognize major career milestones.
• Access to exclusive homeownership-related product benefits.
• Work-from-home stipend to support a productive remote workspace.
• 401(k) retirement plan.
• 6–12 weeks of paid parental leave.
• Wellness benefits, including free counseling sessions and optional weekly meditation.
• 100% remote work within the United States.
• High-autonomy environment with opportunities to influence engineering practices, systems, and product outcomes.