Senior Python Backend Developer (Django/FastAPI) at FlyFlat

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Senior Python Backend Developer (Django/FastAPI) at FlyFlat. . Location: Remote. . About Ascend. . Ascend (formerly FlyFlat) is a membership-based travel concierge service that delivers 24/7 end-to-end journey management for frequent travelers and corporate teams. Members save an average of 35% on business and first-class flights and reclaim hours of planning time, communicating directly with a dedicated human concierge team via WhatsApp to book flights, hotels, and ground transport, with proactive disruption management throughout the journey.. . The combination of white-glove service and proprietary technology is what makes the model work—and that's where this role sits. We're scaling the platform, the team, and the surface area of what a small engineering org can credibly own, including how AI-assisted development reshapes that ceiling.. . The Role. . As a Senior Python Backend Developer at Ascend, you'll lead development of our Python-based web applications using Django and FastAPI. You'll architect scalable solutions, implement best practices, and help shape our technical direction while working with modern cloud infrastructure.. . Beyond traditional engineering, you'll play a meaningful role in how Ascend adopts AI-assisted development—both inside Engineering and in the tooling, standards, and guardrails we extend to the rest of the organization. We expect AI to be a first-class part of how our team ships, reviews, and operates, and we want someone who has opinions on what that should look like.. . This is a remote role paying $3500 - $4500 per month, DOE. . . Who You Are. . You're an experienced developer with deep Python expertise and a passion for building high-performance web applications. You combine technical excellence with pragmatic problem-solving and enjoy the challenges of a growing company. You're also fluent in modern AI-augmented development: you know when to reach for AI tools, where they fall short, and how to build the structures (prompts, skills, review processes, evaluation harnesses, access controls) that let a team use them productively and safely.. . What You'll Do. . . Lead development of features using Django and FastAPI. . Architect and implement scalable web applications. . Establish technical standards for our Python codebase, including standards for AI-assisted contributions. . Optimize our cloud infrastructure (Railway, with selective AWS usage). . Build and maintain the AI tooling, prompts, and skills the engineering team relies on day-to-day, and treat that work as a real engineering deliverable rather than a side project. . Help define the company-wide policies, guardrails, and enablement that let teams across Ascend use AI tools effectively without creating IP, security, or data-handling risk. . Mentor developers, conduct thorough code reviews, and help raise the bar for how we evaluate AI-assisted work. . Collaborate with product managers and designers. . Implement testing and evaluation strategies, including for workflows that involve AI in the loop. . Evaluate new technologies, AI and otherwise, to enhance our tech stack. . . Must-Have Skills & Qualities. . . 5+ years of Python web development experience. . Strong proficiency with Django and FastAPI frameworks. . Expert knowledge of web development best practices. . Experience with PostgreSQL and ORM frameworks. . Solid understanding of front-end technologies. . Advanced Git skills and collaborative workflows. . Experience with Agile methodologies and CI/CD. . Demonstrable experience using AI coding assistants (e.g., Cursor, Claude Code, Copilot) on production work, with sound judgment about when AI output needs more scrutiny or rework. . Excellent problem-solving and communication skills. . Ability to balance technical excellence with business needs. . . Bonus Points For. . . Experience with AWS services and/or Railway. . Knowledge of cloud architecture and infrastructure. . Experience with microservices and containerization. . API design and scalability expertise. . Experience designing reusable AI artifacts (prompts, skills, agents, internal tooling) that encode team expertise rather than living in one person's head. . Experience setting up AI guardrails at an organizational level: code review policies for AI-assisted contributions, IP and data-handling practices, secrets and access controls, model and tool selection, evaluation frameworks. . Experience enabling non-engineering teams (operations, concierge, growth, finance) to use AI tools safely and productively. . . Why Join Us. . . Take ownership of critical technical challenges, including how AI fits into our engineering culture and operating model. . Work with modern technologies and shape our technical roadmap. . Join a high-performing team where your contributions have direct impact. . Contribute to a product with proven market fit. . Develop leadership skills while solving meaningful problems, both technical and organizational. . Opportunity for significant professional growth as we scale. .