About BayRock Labs
At BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on ground-breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let's redefine what's possible in technology.
We’re looking for a hands-on Java Engineer to build and scale mission-critical backend services that power millions of transactions daily. You’ll design high-performance systems, drive architecture decisions, and ship clean, reliable code in a fast-paced, collaborative environment.
What You’ll Do- Design, develop, and maintain scalable, high-performance backend systems using Java and Spring Boot.
- Lead system design and architecture discussions for new and existing services.
- Write clean, efficient, and testable code following industry best practices.
- Collaborate closely with product managers, frontend engineers, and DevOps to deliver end-to-end features.
- Optimize applications for performance, scalability, and reliability.
- Participate in code reviews, ensure code quality, and mentor junior engineers.
- Identify performance bottlenecks and design robust, resilient solutions.
- Quickly ramp up on new technologies, business domains, and codebases.
- Contribute to improving development processes, automation, and CI/CD pipelines.
- 5+ years of hands-on experience with Java and Spring Boot.
- Strong grasp of system design, distributed systems, and microservices.
- Proven ability to write production-grade, testable, and maintainable code.
- Experience with REST APIs, message queues (Kafka/RabbitMQ), and databases (SQL/NoSQL).
- Familiarity with cloud platforms (AWS, GCP, Azure) and CI/CD tools (Jenkins, GitLab, etc.).
- Excellent problem-solving, communication, and collaboration skills.
- A passion for mentorship, clean code, and continuous improvement.
- Experience in payments, fintech, or high-throughput systems.
- Contributions to open-source or personal technical projects.
- Familiarity with Kubernetes, Docker, Terraform, or observability tools.
