Senior Python Backend Engineer

JobTitle: Senior Python Backend Engineer

Before You Apply A Message from OurFounder.

For generations, women have navigated systems never built with them in mind. The gaps in leadership, health, wealth, and opportunity were engineered into the world we inheritedand now, for the first time, we have the tools to build something better. AI gives us the chance to design technology that truly partners with the women and organizations working tirelessly to advance women and girls. Being trusted to do this work is both a privilege and a responsibility, and I am looking for people who feel that responsibility as deeply as I do.

Uplevylis not a conventional workplace. Wehave a distinct culture. Weexist to create meaningful impact for society, and we hold ourselves to a standard of moving fast while delivering quality that endures. We partner only with those who share our commitment to doing important work, and we build technology that opens doors, expands opportunity, and enables more people toparticipateand benefit.

We hire only A-players and compensate them accordingly. We do notcompromise ontalent, and we part ways respectfully when performance does not meet the standards required by our mission. Everyone atUplevylwears multiple hats. No task is beneath anyone. Decisions are driven by merit, not hierarchy. We prioritize customers over internal convenience, avoid politics, andmaintainzero tolerance for unnecessary bureaucracy.

We move with urgency because the mission demands it. When the work calls for it, we stretch beyond traditional hoursnot out of obligation, but out of genuine commitment to building something transformative. We look for people energized by bold problems, people who find meaning in momentum and possibility, and who bring a proactive, high-ownership mindset to everything they do. If you thrive in environments where innovation, purpose, andhigh standardscome together, you will feel at home atUplevyl.

Key Responsibilities

• Design, develop, andmaintainhigh-performance backend services for large-scale, multi-tenant SaaS platforms.
• Build REST/GraphQLAPIs using Python frameworks such as FastAPI or Flask .
• Work with PostgreSQL/MySQL and NoSQL databases (MongoDB/DynamoDB), ensuring efficient schema design and performance tuning.
• Implement microservices architecture using Docker and Kubernetes.
• Develop event-driven workflows using Kafka, RabbitMQ, Kinesis, or similar message queues.
• Leverage AWS cloud services (Lambda, ECS, RDS, S3, Cognito) to build scalable and secure backend systems.
• Apply Clean Architecture / Hexagonal Architecture principles withstrong designpattern implementation.
• Implement observability (logging, metrics, tracing) to ensure system reliability.
• Contribute to CI/CD pipelines and automation for efficient deployments.
• Conduct code reviews tomaintainclean, h igh-quality code and enforce engineering best practices .
• Ensure backend security standards includin g SAST, DAST, and secure coding guidelines.

Performance Expectations

• Deliver secure and scalable backend services within timelines.
• Maintain high uptime andstrong performanceacross distributed systems.
• Identifyand resolve architectural challenges in multi-tenant and event-driven environments.
• Demonstrate complete ownershipfrom design to deployment and monitoring.
• Improve team processes, code quality, and efficiency through best practices.
• Collaborate effectively with cross-functional teams including frontend and AI/ML teams.

Qualifications

• 5+ years of experience as a Backend Engineer working with Python.
• Strongexpertisein FastAPI or Flask .
• Excellent programming, problem-solving, and system design skills.
• Strong experience with PostgreSQL/MySQL, Redis caching, and optionally DynamoDB/MongoDB.
• Solid understanding of microservices and containerization (Docker/Kubernetes).
• Experience with AWS ecosystem (Lambda, ECS, RDS, S3, Cognito).
• Experience with event-driven architectures (Kafka/RabbitMQ/Kinesis).
• Strong understanding of Clean/Hexagonal architecture and design patterns.
• Exposure to CI/CD pipelines, backend testing frameworks, and code quality tools.
• Knowledge of observability practices and tools.
• Awareness, exposure, or hands-on experience with AI models, API integrations, fine-tuning, or model-driven workflows is a strong advantage.
• Proactive, self-driven, innovative, anda strong teamplayer.

Cultural &Work-Style Skills

1. Low Ego, High Contribution

You collaborate across disciplines, share knowledge openly, and welcome feedback on architecture, code, and decisions. You care more about building the right system than about being right.

2. Ownership From Design to Delivery

You think beyond tickets. You take responsibility for the full lifecycle of what youbuildincludingarchitecture, implementation, testing, reliability, and iteration. You solve problems end-to-end rather than waiting for perfect specifications.

3. Mission-Driven UrgencyWithTechnical Depth

You move quickly when needed, but never at the expense of long-term stability. You can distinguish when to build fast and when to buildrightand you communicate trade-offs clearly.

4. Agility in Ambiguity

You are comfortable building in evolving environments with partial information. You prototype, test assumptions early, reduce dependencies, and find creative paths through constraints.

5. Purpose-Fueled Resilience & Curiosity

You stay steady when debugging complex issues, you learn rapidly, and you adapt as the product and architecture evolve. You draw energy from solving meaningful problems and building systems that open doors for millions of women.