I8IS INC. - Sr. Full Stack Software Engineer
Full Stack Developer is needed in Jersey City, United States.
Client: I8IS INC.
Location: Jersey City, NJ, us
Contract: Contract
Job Description
We are seeking a hands-on, high-caliber Sr. Full Stack Software Engineer / Technical Lead to spearhead the end-to-end delivery of enterprise cloud solutions. In this role, you will bridge the gap between front-end user experience and resilient backend cloud systems, driving architecture reviews, defining API contracts, and enforcing engineering standards. The ideal candidate brings over a decade of engineering experience, displaying profound expertise in Java Spring Boot, React/TypeScript, and cloud-native AWS architectures. Crucial Requirement: This role requires deep, active mastery of AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot) to accelerate delivery, code refactoring, test generation, and debugging while strictly maintaining data security and team standards.
Requirements
Core Full Stack Mastery:
- Frontend: Expert-level React (Modern hooks, TypeScript, state management, component design systems, performance optimization).
- Backend: Advanced Java Spring Boot proficiency (Building robust APIs, dependency injection, validation, performance tuning).
API & Security Protocols:
- GraphQL (Required): Schema design, resolvers, federation patterns, and N+1 mitigation/caching.
- REST: OpenAPI-style contract design, pagination, filtering, idempotency, and backward compatibility.
- OIDC/OAuth2: Hands-on implementation with JWTs, access token flows, and secure session patterns.
Cloud, Data & Event-Driven Architecture:
- AWS Cloud: Deep hands-on experience with IAM, networking basics, and operational cloud tooling.
- Event-Driven Systems: Robust experience with AWS Kafka (MSK) including topic partitions, consumer groups, schema evolution, ordering semantics, and DLQs.
- Relational Data: AWS Aurora PostgreSQL (Advanced SQL, indexing, query optimization, migrations).
- Graph Data: Amazon Neptune (Gremlin, graph modeling, and query pattern optimization).
AI Tooling & CI/CD:
- AI Engineering (Mandatory): Proficient in leveraging Claude Code and/or GitHub Copilot to accelerate development safely and efficiently.
- CI/CD: Strong Git practices, automated testing (unit, integration, contract, E2E), and progressive rollout patterns (feature flags).
Preferred Qualifications (Assets):
- Infrastructure as Code (Terraform, CloudFormation, or AWS CDK).
- Containerization and orchestration (Docker, ECS/EKS).
- Advanced security practices (Threat modeling, OWASP Top 10 mitigation, secrets management).
- Prior experience integrating with Oracle HCM.
Candidate Screening Requirements (Strict):
- Must Have: Deep balance of React + Spring Boot, hands-on AWS, and Kafka/event-driven systems.
- Critical: Profiles must contain GraphQL and Amazon Neptune (Candidates lacking these will only be evaluated if all other areas are exceptionally flawless).
- Strict Disqualifiers: Backend-only, Angular-only, or weak AWS cloud profiles will not be considered.
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