Java Developer with Google Cloud Platform (in person interview in San Jose)

Job Title: Sr. Java Developer
Location: San Jose, CA (Hybrid)
Interview Process: 1st round on MS Teams, Final customer interview in-person in San Jose

Responsibilities:

• Collaborate with Data Scientists, Engineers, and Product Management to translate raw data into actionable and insightful enterprise solutions.
• Thrive in a dynamic, agile, and product-focused environment to deliver enterprise-grade products.
• Design, implement, and maintain high-volume, low-latency Java-based applications.
• Prioritize application performance, quality, and responsiveness.
• Develop well-designed, testable code, ensuring maintainability and scalability.
• Design and implement robust, user-friendly REST APIs with comprehensive living documentation and specification-by-example tests.
• Continuously enhance software development practices across the full stack, ensuring high-quality standards and efficient delivery.
• Design, implement, and manage data pipelines utilizing Google Cloud Platform (Google Cloud Platform), AWS, or other cloud technologies.
• Participate in creating and managing scalable cloud-native microservices-based applications.
• Collaborate with DevOps, Test Automation teams, and infrastructure teams to enable effective CI/CD and developer workflows.
• As a senior/lead member, mentor and provide guidance to junior team members, fostering a culture of learning and development.

Required Skills:

• 5 years of experience building modern, cloud-native, microservices-based applications using Java, Spring Boot, and SQL or NoSQL databases (including AWS or Google Cloud Platform services such as Athena, Redshift, BigQuery).
• Proven experience with Spring, Spring Boot, and Spring Security frameworks.
• Strong expertise in Java-based distributed, scalable, and fault-tolerant application development.
• Hands-on experience with cloud-native technologies, such as AWS (Redshift, Athena) or Google Cloud Platform (BigQuery), and experience with serverless data architectures.
• Deep understanding of designing, implementing, and optimizing distributed event-driven architectures.
• Ability to design and create high-quality, well-documented, and user-friendly RESTful APIs.
• Solid experience with SQL and NoSQL databases, including performance optimization and troubleshooting.
• Demonstrated ability to provide technical leadership in solving complex engineering problems, while communicating the solution approach effectively to non-technical stakeholders.
• Solid understanding of modern problem-solving techniques and software architecture principles, with the ability to justify architectural decisions in detail.
• Strong debugging, troubleshooting, and performance tuning skills.

Preferred Skills:

• T-shaped skillset strong foundation in one area (e.g., backend development) with a breadth of knowledge across the full-stack spectrum, including infrastructure and cloud.
• Exposure to infrastructure-related technologies such as Docker, Kubernetes, and Istio.
• Experience designing optimal deployment strategies for BigData systems on cloud platforms (AWS or Google Cloud Platform).
• Familiarity with message brokers such as Kafka, with the ability to explain use cases and implementation strategies effectively.
• Ability to collaborate with DevOps and Test Automation teams to foster an exceptional developer experience in both build and CI/CD processes.
• Experience with DMP (Data Management Platforms) or Identity Space DMP.
• Familiarity with front-end frameworks like Angular or React is a plus.

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