The Backend Developer will develop and maintain backend services using Node.js and Java, build RESTful APIs, collaborate with frontend teams, and assist in troubleshooting.
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 are looking for a motivated Backend Engineer with 1–2 years of hands‑on experience in Node.js and Java development. This role is ideal for someone eager to grow their skills while contributing to building scalable and reliable backend systems.
Responsibilities- Develop and maintain backend services using Node.js and Java.
- Build and support RESTful APIs and integrations with databases.
- Collaborate with frontend engineers and product teams to deliver end‑to‑end solutions.
- Write clean, testable, and maintainable code following best practices.
- Assist in troubleshooting and resolving backend issues.
- Contribute to code reviews and team knowledge sharing.
- 1–2 years of backend development experience with Node.js and Java.
- Familiarity with databases (SQL or NoSQL such as MySQL, PostgreSQL, MongoDB).
- Basic understanding of cloud platforms (AWS, Azure, or GCP).
- Exposure to version control systems (Git).
- Strong problem‑solving skills and eagerness to learn.
- Experience with microservices architecture.
- Knowledge of containerization tools (Docker, Kubernetes).
- Familiarity with CI/CD pipelines.
Top Skills
AWS
Azure
Docker
GCP
Git
Java
Kubernetes
MongoDB
MySQL
Node.js
NoSQL
Postgres
SQL
BayRock Labs San Jose, California, USA Office
San Jose, California, United States, 94089
Similar Jobs
AdTech
Lead backend engineering for a consumer mobile product: design, build and own Rust-based microservices, define APIs and data models, coordinate with mobile teams, drive architecture and execution, and raise engineering standards across backend and mobile codebases.
Top Skills:
AndroidAWSAzureGCPGraphQLGrpciOSProtocol BuffersReact NativeRelational DatabasesRustSQL
Cloud • Security • Software • Cybersecurity • Automation
Design and develop a Go-based instrumentation service for GitLab, ensuring data integrity and supporting product development teams with analytics and instrumentation capabilities.
Top Skills:
GoGrpcRestRuby On Rails
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves leading backend engineering efforts, building cloud-based systems, and enhancing architecture in a collaborative team environment.
Top Skills:
AWSCassandraElasticsearchGitGoGraphQLHadoopJava8KafkaMySQLPythonRedisZmq
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
