Lead Java Full Stack Engineer - Java/Spring and React - 1657

City: Glendale, CA or Seattle, WA
Onsite / Hybrid / Remote: Hybrid, 3–4 days onsite
Duration: 9 Months to start with
Rate Range: Up to $103.5/hr in W2
Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

Must Have:

• At least five years of software engineering experience.
• Strong hands-on experience with Java and Spring.
• Experience with object-relational mapping frameworks.
• Experience building full-stack applications using React or a comparable frontend framework.
• Experience with relational databases such as MySQL or PostgreSQL.
• Experience developing and consuming RESTful or GraphQL APIs.
• Experience with CI/CD pipelines, containerized deployments, and cloud services.

Responsibilities:

• Design, develop, test, and maintain full-stack software applications.
• Lead medium- to large-scale features from design through production.
• Contribute to service and system architecture decisions.
• Develop production-ready code and participate in code and design reviews.
• Collaborate with Product, Design, QA, and engineering teams.
• Improve application observability, performance, reliability, and resiliency.
• Participate in incident response and root-cause analysis.
• Provide technical guidance and mentorship to other engineers.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong understanding of client-server communication, REST APIs, and distributed systems.
• Knowledge of cloud-native development, stateless services, horizontal scaling, and observability.
• Strong SQL and database development experience.
• Ability to evaluate downstream impacts across interconnected systems.
• Ability to solve complex technical problems with limited guidance.
• Strong written and verbal communication skills.

Nice to Have:

• Experience with Spring Boot and related Spring projects.
• Experience with AWS or another cloud platform.
• Experience with Terraform, Docker, and Kubernetes.
• Experience with Kafka, Amazon Kinesis, or Amazon SNS/SQS.
• Experience in advertising technology or media-processing workflows.
• Experience using AI-assisted development tools such as Cursor or Amazon Q Developer.