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.