Senior Backend Engineer - (Java/Spring Boot)

Gen; New York (NY); Presencial; USD 130.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working options

Competitive pay

Benefits and well-being programs

Career growth opportunities

Descripción de la vacante

Gen is hiring a seasoned Backend Engineer to build scalable, reliable backend systems powering consumer-facing fintech services. You will own design reviews, implement robust services, and collaborate with product, analytics, and engineering teams to deliver high-quality backend capabilities backed by strong testing and observability.

The role emphasizes architecture decisions and AI-assisted development. You will work with modern tech stacks including Java, Spring Boot, REST APIs, Kafka, and

Formación

• Deep expertise in Java and Spring Boot with production-grade services.
• Strong REST API design, service contracts, and backward compatibility.
• Experience designing and evolving distributed systems and inter-service communication.
• Solid data modeling and persistence skills (SQL/NoSQL).
• Experience with asynchronous architectures (Kafka, SQS).
• Experience with CI/CD, containerization, and cloud-native environments (AWS, Kubernetes).
• Strong observability: logging, metrics, tracing, debugging in production.
• Collaborative with Product, Analytics, and Engineering teams in fast-paced environments.

Responsabilidades

• Take Ownership: maintain high quality through design and code reviews, testing, observability and reliability.
• Collaborate cross-functionally with product, analytics, and engineers to deliver reliable solutions.
• Architect for change: design scalable, modular backend systems.
• Improve performance and quality across critical services and workflows.
• Build clean data flows with APIs and events to support integrations and analytics.
• Lead AI-assisted development, validate AI outputs with engineering judgment.
• Raise quality through automated unit, integration, and contract tests.

Conocimientos

Java

Spring Boot

REST APIs

Microservices

SQL

NoSQL

Kafka

SQS

AWS

Kubernetes

CI/CD

Docker

Observability

Testing strategies

Team Collaboration

Git

Educación

Bachelor's degree in Engineering

Herramientas

Docker

Kubernetes

AWS

Git

Descripción del empleo

About Gen

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen.

About the Role

MoneyLion is a leader in financial technology powering the next generation of personalized products and content. We pride ourselves on serving the many, not the few, providing confidence through guidance, choice, and personalization. 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”