Senior Backend Engineer

Unqork’s AI-First Enterprise Development Platform is revolutionizing the way organizations build, maintain, and secure applications across their entire lifecycle.  

Named one of America’s Best Startup Employers by Forbes five times, Unqork provides industry-tailored solutions for customers in financial services, insurance, government, and healthcare. Unqork’s AI-first platform empowers enterprises to bring solutions to market faster, focus on AI-powered growth instead of maintenance, and leverage security and governance trusted by some of the largest companies in the world’s most regulated industries. Unqork's customers include Goldman Sachs, Marsh, BlackRock, and the U.S. Department of Health and Human Services. 

At Unqork, we value inclusive and innovative thinkers who boldly challenge the status quo. We encourage you to apply! 

Reporting to the Engineering Manager

• Design and implement scalable, reliable backend systems - from architecture through production deployment.
• Harden and optimize the platform for stability, performance, and release readiness.
• Lead implementation of backend services, APIs, and data models with a strong focus on maintainability strategies.
• Experience in data modeling and working on No SQL database like MongoDB as Unqork heavily uses MongoDB.
• Set technical standards and establish best practices across code quality, architecture, and system design.
• Act as a hands-on technical leader reviewing code, debugging complex issues, and improving performance where needed.
• Collaborate closely with Product, QA, and Design to translate business problems into well-structured technical solutions.
• Hands on experience with ability to utilize AI for development and analysis.
• Ask the right technical questions early to clarify requirements and reduce downstream risk.
• Help define engineering roadmaps, technical milestones, and delivery metrics.
• Improve development workflows and processes to increase team velocity and reliability.

• 5+ years of relevant backend engineering experience building production systems.
• Proven experience designing and implementing complex software systems end-to-end.
• Understands Database Modeling, managing complex Database Transactions, and ensuring data integrity across distributed systems. 
• Strong experience with API design. 
• Deep knowledge of data modeling, normalization, query optimization, and indexing.
• Experience with NoSQL databases such as MongoDB.
• Experience building REST and/or GraphQL services.
• Strong proficiency in a modern backend language (Node.js preferred).
• Experience shipping highly reliable systems in cloud environments.
• Ability to operate independently while contributing to broader technical direction.
• Experience working across cross-functional teams to deliver complex product features.
• An AI-forward mindset: You are an avid user of AI tools and are passionate about exploring how AI can automate workflows, enhance creativity, and increase your personal impact. 

• Comfortable owning ambiguous, high-impact technical problems.
• Strong architectural instincts paired with hands-on implementation skills.
• Focused on building production-ready systems, not just prototypes.
• Raises the technical bar through both execution and influence.