• 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.