Our client, an IT Services and Consulting company, is looking for a Java Developer w/AI experience for their Jersey City, NJ 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.
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.
Evaluates vendor and internal solutions (including architectural fit, security posture, scalability, and operability) and guides adoption decisions
Requirements:
Minimum 12+ years experience needed
Top Required Skills: Java (Spring Boot), Microservices, AWS, RestAPI, AI (Claude or Copilot), DevOps, Kafka
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 (N+1 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).
Strong Git practices, automated testing (unit/integration/contract/e2e), code quality gates, and release confidence practices (feature flags, progressive rollout where applicable).
AI-assisted engineering (MUST):
Demonstrated proficiency using Claude Code and/or GitHub Copilot to accelerate development, debugging, refactoring, test generation, and documentation—while ensuring correctness, security, and maintainability (e.g., validating outputs, avoiding sensitive data leakage, and adhering to team standards).