Java Developer w/AI experience

TechDigital Group

Plano (TX)

On-site

USD 170,000 - 230,000

Full time

3 days ago
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Job summary

TechDigital Group is seeking a senior full-stack engineer to lead end-to-end delivery of scalable Java Spring Boot applications with GraphQL/REST APIs on AWS. You will drive architecture, define service boundaries, and ensure secure, high-quality production code with strong observability.

You will guide API governance, implement OIDC/OAuth2 security, and champion best practices in CI/CD, testing, and reliability across complex microservices.

Qualifications

  • 12+ years of full stack engineering delivering and operating production systems in senior/lead capacity.
  • Expertise in Java Spring Boot for API development, DI, validation, error handling and performance tuning.
  • Strong GraphQL design, federation, caching, and API governance.
  • REST API design with OpenAPI, pagination, idempotency and backward compatibility.
  • OIDC/OAuth2 implementation with token flows, scopes, and least-privilege access control.
  • Hands-on AWS design, deployment, and operation of cloud-native apps, IAM and networking basics.

Responsibilities

  • Lead end-to-end delivery of full stack solutions using Java Spring Boot, GraphQL/REST, and AWS services.
  • Drive architecture and design reviews, define service boundaries, API contracts, data models, and integration patterns.
  • Develop secure, production-grade code; perform code reviews; enforce engineering standards.
  • Build and maintain highly available, scalable services with emphasis on reliability, performance, cost awareness, and maintainability.
  • Implement and govern authentication/authorization using OIDC/OAuth2, token validation, scopes/claims, and service-to-service security.
  • Establish robust observability practices (structured logs, metrics, tracing) and incident readiness (runbooks).
  • Evaluate vendor/internal solutions for architectural fit, security posture, scalability, and operability; guide adoption decisions.

Skills

Java Spring Boot
Microservices
AWS
REST API
GraphQL
OIDC/OAuth2
Kafka
DevOps
AI integration

Tools

OpenAPI
Git
CI/CD

Job description

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
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