Back-end Engineer

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 inherited—and 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. 

Uplevyl is not a conventional workplace. We have a distinct culture. We exist 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 to participate and benefit. 

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

We move with urgency because the mission demands it. When the work calls for it, we stretch beyond traditional hours—not 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, and high standards come together, you will feel at home at Uplevyl. 

• Design, build, and maintain robust backend services for large-scale, multi-tenant SaaS applications. 
• Develop and optimize GraphQL APIs for seamless integration across products and AI-driven systems. 
• Work with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB, DynamoDB) databases, ensuring efficient schema design and performance. 
• Architect, deploy, and scale microservices in containerized environments (Docker/Kubernetes). 
• Implement event-driven architectures using Kafka, Kinesis, or RabbitMQ. 
• Leverage AWS services (ECS, Lambda, RDS, S3, Cognito) to ensure high availability, security, and scalability. 
• Collaborate with frontend and AI teams to deliver integrated solutions for intelligent community systems. 
• Troubleshoot, debug, and optimize backend applications for performance and reliability. 

• Deliver secure, scalable, and production-ready backend services within project timelines. 
• Maintain high system uptime and performance across distributed environments. 
• Proactively address architectural challenges in multi-tenant SaaS and event-driven systems. 
• Demonstrate strong ownership of backend infrastructure, from design through deployment. 
• Communicate effectively with cross-functional teams to ensure smooth product integration. 

Opportunities:

• Work on backend systems powering next-generation AI-driven community platforms. 
• Build multi-tenant architecture that can scale globally. 
• Gain exposure to AI integration and advanced API ecosystems. 

Challenges:

• Architecting for scale while maintaining high performance and low latency. 
• Ensuring fault tolerance and reliability in distributed event-driven systems. 
• Navigating complex SaaS deployments across cloud-native environments. 

• 5+ years of experience as a Backend Engineer in large-scale applications. 
• Strong expertise in Nest.js (Node.js) with hands-on experience building GraphQL APIs. 
• Experience with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB, DynamoDB) databases. 
• Solid understanding of microservices architecture and containerization (Docker/Kubernetes). 
• Hands-on experience with AWS stack (ECS, Lambda, RDS, S3, Cognito). 
• Knowledge of event-driven systems (Kafka, Kinesis, RabbitMQ). 
• Familiarity with AI and API integration is a strong plus. 
• Experience designing and scaling multi-tenant SaaS architectures. 

1. Low Ego, High Contribution

2. Ownership From Design to Delivery

3. Mission-Driven Urgency With Technical Depth

4. Agility in Ambiguity

5. Purpose-Fueled Resilience & Curiosity