Java Developer
- Swanktek Inc.
3 Days Ago
NA
W2
Plano-TX
12-15 Years
Required Skills: Java, AI, Spring Boot
Job Description
Java Developer /AI experience
Skills
- Java
- AI
- Spring Boot
- Microservices
- RestAPI
- AWS
- Claude
- Copilot
- Kafka
Top Required Skills:
Java (Spring Boot), Microservices, AWS, RestAPI, AI (Claude or Copilot), DevOps, Kafka
Job 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
Required qualifications, capabilities, and skills:
- 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).
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).
- 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).
