Sr. Full Stack Software Engineer

Job Title: Sr. Full Stack Software Engineer

Location : Jersey City NJ ( Local)

Exp: 12 Yrs

No of Position: 5

RTTO 5 Days Onsite

Job responsibilities

• Leads end-to-end delivery of full stack solutions using React 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.
• Partners with Product and UX to deliver outcomes; translates requirements into technical plans and milestones; proactively manages trade-offs.

Required qualifications capabilities and skills

• Minimum 8 years applied full stack engineering experience delivering and operating production systems; experience as a senior/lead capacity (technical leadership design ownership).
• React expertise: modern React patterns TypeScript state management component design systems performance optimization and responsive UI development.
• 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 (N1 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).

Preferred qualifications capabilities and skills

• Infrastructure as Code (Terraform/CloudFormation/CDK) and deployment automation patterns.
• Containerization and orchestration experience (Docker ECS/EKS) depending on platform direction.
• Advanced security practices: threat modeling OWASP Top 10 mitigation secrets management dependency hygiene.
• Experience defining platform standards: API governance event contracts service templates and reliability SLOs/SLIs.
• Prior experience integrating with Oracle HCM.

Screening Guidance (please follow strictly):

Mandatory (strong in most):

• React Spring Boot
• AWS (hands-on)
• Kafka / event-driven systems

Critical Skills:

• GraphQL required for strong profiles
• Amazon Neptune important for data layer (expected in most strong candidates)

Important:

• Candidates without GraphQL/Neptune should be considered only if very strong overall
• Avoid backend-only Angular-only or weak AWS profiles

Please prioritize quality over volume and share only strong relevant profiles.