We’re looking for a deeply experienced backend engineer who brings strong ownership, sound technical judgment, and a high bar for engineering quality. This role is about making smart architectural decisions, designing resilient services, and building the systems that power reliable customer and marketplace experiences.
You will help shape and scale the backend capabilities behind MoneyLion’s product surfaces, working closely with product, analytics, and engineering teams to support partner integrations, experimentation, event quality, and core business workflows.
Key Responsibilities
Take Ownership: You'll help maintain a high bar for quality through design reviews, code reviews, testing, observability, and production readiness.
Collaborate cross-functionally: Partner with product, analytics, and fellow engineers to shape solutions and deliver reliably.
Architect for change: Design and build backend systems that are scalable, modular, and resilient to evolving product and business needs.
Improve Performance & Quality: Strengthen reliability, maintainability, observability, and operational excellence across critical services and workflows.
Build clean data flows: Create dependable APIs, events, and service boundaries that support partner integrations, experimentation, analytics, and downstream systems.
Lead AI-assisted development: Use AI tools for prototyping, scaffolding, refactoring, and exploratory development, then validate the output with strong engineering judgment.
Raise quality through testing: Build and maintain automated test coverage across unit, integration, contract, and end-to-end layers.
About You
Strong expertise in Java, Spring Boot, and modern backend architecture.
Comfortable designing and operating RESTful APIs, microservices, and distributed systems in production.
Strong working knowledge of SQL and NoSQL databases.
Familiarity with asynchronous and event-driven systems such as Kafka, SQS, or similar technologies.
Comfortable working in modern development environments, including Git-based workflows, containerized services, and cloud infrastructure (AWS, Kubernetes).
Strong grasp of reliability, observability, maintainability, and performance.
Familiarity with testing, CI/CD, monitoring, and modern development workflows.
Skilled at partnering with Product, Analytics, and engineering teams to deliver in a fast-paced environment.
Strong communication skills and a collaborative, problem-solving mindset.
Education: Bachelor’s degree in Engineering, a related field, or equivalent professional experience.
Experience: 5+ years in software engineering, with a track record of building and shipping production applications.
Must Have Skills
Deep expertise in Java and Spring Boot, including building and operating production-grade services.
Strong understanding of REST API design, service contracts, and backward compatibility.
Experience designing and evolving distributed systems, including service decomposition and inter-service communication.
Solid grasp of data modeling and persistence, including SQL and NoSQL tradeoffs, indexing, and query performance.
Experience with asynchronous and event-driven architectures (e.g., Kafka, SQS), including event design and reliability considerations.
Strong understanding of observability, including logging, metrics, tracing, and debugging production systems.
Experience implementing testing strategies across unit, integration, and contract testing layers.
Familiarity with CI/CD pipelines, containerization (Docker), and cloud-native environments (AWS, Kubernetes).
Excellent collaboration and communication skills, with a bias toward clear, maintainable system design.
Nice to Have Skills
Experience with high-scale, consumer-facing systems or marketplace platforms.
Familiarity with API gateways, rate limiting, and service-level protections.
Experience with data pipelines, event quality, and analytics instrumentation.
Hands-on experience with tools like Claude Code (or similar AI-powered IDEs) and modern AI coding models.
Practical understanding of where AI is strong vs. where it falls short, paired with sound engineering judgment.
Ability to use AI agents to explore multiple implementation approaches, evaluate tradeoffs, and converge on robust solutions without introducing fragile or “AI-shaped” systems.
Personal Attributes
Ability to thrive in a fast-paced, high-tech environment and manage complex problems
What’s Next
After you submit your application, you can expect the following steps in the recruitment process:
Recruiter - 15min Phone Call
Hiring Manager - 30min Video
Live Coding (Round 1) - 1hr Video
Live Coding (Round 2) - 1hr Video
Senior Leader - 30min Video
Location: New York, NY (Onsite 3 days per week)
The annual base salary for this position is expected to be between $158,080 and $178,880. Base salary is one component of Gen's total compensation package, which includes 401(k) match, health insurance options, disability coverage, life insurance, and unlimited paid time off. Actual salaries will vary based on a candidate’s qualifications, experience, skills, and competencies related to the role.
Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.
