Java Developer wAI experience

Our Client an IT Services and Consultant company is looking for a Java Developer w/AI experience for their Seattle WA location.

Responsibilities:

• Leads end-to-end delivery of full stack solutions using Java Spring Boot GraphQL/REST and AWS-managed services from design through production support.
• Drives architecture and design reviews defining service boundaries API contracts data models and integration patterns.
• Develops secure high-quality production-grade code; conducts thorough code reviews; sets and enforces engineering standards.
• Builds and maintains highly available and scalable services with strong operational excellence: reliability performance cost awareness and maintainability.
• Implements and governs authentication/authorization using OIDC/OAuth2 token validation scopes/claims and service-to-service security patterns.
• Establishes robust observability practices (structured logging metrics tracing) incident response readiness (runbooks).
• Evaluates vendor and internal solutions (including architectural fit security posture scalability and operability) and guides adoption decisions

• Minimum 12 years applied full stack engineering experience delivering and operating production systems; experience as a senior/lead capacity (technical leadership design ownership).
• Java Spring Boot expertise: building APIs dependency injection validation error handling and performance tuning.
• GraphQL proficiency: schema design resolvers federation/composition patterns (where applicable) query performance (N1 mitigation caching) and API governance/versioning strategy.
• REST proficiency: OpenAPI-style contract design pagination/filtering idempotency backward compatibility and consumer-driven API evolution.
• OIDC/OAuth2: hands-on implementation with JWTs refresh/access token flows scopes/claims secure session patterns and least-privilege access control.
• AWS experience (hands-on): designing deploying and operating cloud-native applications; strong understanding of IAM networking basics and operational tooling (logs/metrics/alarms).
• Data layer expertise:
• AWS Aurora PostgreSQL: advanced SQL indexing query optimization migrations and transactional design.
• AWS Neptune: gremlin graph modeling query patterns and performance considerations for graph workloads.
• Event-driven systems:
• AWS Kafka (MSK): topics/partitions consumer groups schema evolution ordering/at-least-once semantics idempotency retries/DLQs and operational monitoring.
• CI/CD and quality:
• Strong Git practices automated testing (unit/integration/contract/e2e) code quality gates and release confidence practices (feature flags progressive rollout where applicable).

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities