Senior Java Engineer ID61982

AgileEngine•Downey, CA

1d•Hybrid

About The Position

We are looking for a Senior Backend Engineer to build and operate scalable backend services on a high-traffic consumer platform. You will design RESTful APIs and distributed systems using Java and Spring Boot, while integrating backend infrastructure with AI and LLM-enabled features. The role offers broad technical ownership across platform reliability, API architecture, and AI-driven product development.

Requirements

4+ years of backend engineering experience working with production-grade systems
Expert proficiency in Java, Spring Boot, Gradle, and microservices architecture
Strong experience designing and building RESTful APIs, including API lifecycle best practices
Solid experience with relational databases such as PostgreSQL, MySQL, or similar
Proven experience with distributed systems, fault-tolerant design, and performance tuning
Ability to work with AI-driven requirements
Experience integrating or designing workflows around LLM-based services
Understanding of API patterns for AI services
Experience building backend features that enable AI-powered product experiences
Upper-intermediate English level

Nice To Haves

Experience with asynchronous messaging systems such as Kafka or RabbitMQ
Familiarity with event-driven architectures
Experience with GraphQL, API gateways, or hybrid API ecosystems
Exposure to LLM/AI APIs such as OpenAI or Anthropic, or development of AI-enhanced features
Previous experience working in remote, distributed teams
Experience leading cross-functional initiatives or mentoring other engineers

Responsibilities

Design, build, and maintain scalable backend services using Java and Spring Boot
Develop and manage RESTful APIs following best practices across the full API lifecycle
Architect and optimize distributed systems with a focus on performance, scalability, and fault tolerance
Collaborate with cross-functional teams including data, product, and AI to deliver integrated solutions
Build backend capabilities that support AI-driven product features and LLM-based workflows
Contribute to system reliability, monitoring, and continuous improvement of platform services