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Han Staffing Logo
Sr. Full Stack Software Engineer

Han Staffing

 

Jersey City, NJ, USA

Posted On: 5 days ago
Experience: 8+ years
Availability: Onsite
Openings: 1
Category: Full Stack Software Engineer
Tenure: No Preference/Any
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Description

You will lead end-to-end delivery of full stack solutions using React, Java Spring Boot, GraphQL/REST, and AWS, from design through production support. This role is on-site.

Responsibilities

  • Drive architecture and design reviews, defining service boundaries, API contracts, data models, and integration patterns.
  • Develop secure, production-grade code, conduct thorough code reviews, and enforce engineering standards.
  • Build highly available and scalable services with strong operational excellence, including reliability, performance, and cost awareness.
  • Implement and govern authentication/authorization using OIDC/OAuth2, token validation, and service-to-service security patterns.
  • Establish observability practices (logging, metrics, tracing) and incident response readiness with runbooks.

Required Skills

  • 8+ years applied full stack engineering experience delivering and operating production systems in a senior/lead capacity.
  • React expertise: modern patterns, TypeScript, state management, component design systems, and performance optimization.
  • Java Spring Boot expertise: building APIs, dependency injection, validation, error handling, and performance tuning.
  • GraphQL proficiency: schema design, resolvers, federation patterns, query performance (N+1 mitigation, caching), and API governance.
  • REST proficiency: OpenAPI contract design, pagination, idempotency, backward compatibility, and consumer-driven API evolution.
  • Oidc/Oauth2: hands-on implementation with JWTs, refresh/access token flows, scopes/claims, and least-privilege access control.
  • AWS experience: designing, deploying, and operating cloud-native applications with IAM, networking, and operational tooling.
  • Data layer expertise: AWS Aurora PostgreSQL (advanced SQL, indexing, query optimization) and AWS Neptune (graph modeling, Gremlin).
  • Event-driven systems: AWS Kafka (MSK) topics/partitions, consumer groups, schema evolution, and operational monitoring.
  • AI-assisted engineering: demonstrated proficiency using Claude Code and/or GitHub Copilot to accelerate development while ensuring correctness and security.

Preferred Skills

  • Infrastructure as Code (Terraform/CloudFormation/CDK) and deployment automation patterns.
  • Containerization and orchestration experience (Docker, ECS/EKS).

Education

Any Graduate

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