Sr. Java Back-End Engineer
3B Staffing LLC, New Hartford, CT, United States
Sr. Java Back-End Engineer
Location : Ideal location is Hartford , Connecticut
REMOTE is ok
Citizenship : USC/GC (will look at anyone who is a Quality resource)
Duration : 6+ months, extensions likely,
*** LinkedIn = MUST HAVE ***
Strong
Java (17+) + Spring Boot backend , microservices & distributed systems, REST APIs, SQL/NoSQL (PostgreSQL, MongoDB),
OAuth2/JWT security , Docker/Kubernetes, CI/CD (GitHub Actions/Jenkins), cloud (Azure/GCP), and production support with observability.
Key Responsibilities
Design, build, and evolve backend microservices using Java (17+), Spring Boot, and modern APIs (REST required; GraphQL optional).
Own service quality: performance, scalability, resiliency, observability, and production support (on-call as needed).
Implement data access and integrations across SQL and NoSQL systems with strong data modeling, indexing, and transactional integrity.
Apply distributed systems patterns (idempotency, retries, circuit breakers, rate limiting, graceful degradation).
Enforce security best practices (OAuth2, JWT, RBAC, secrets management, OWASP Top 10, secure coding).
Build and maintain CI/CD pipelines using GitHub Actions or Jenkins, Docker, and Kubernetes.
Collaborate with Product, QA, Architecture, and SRE/DevOps on design, testing, and production readiness.
Integrate Generative AI capabilities where applicable (e.g., orchestration, RAG, guardrails, API governance).
Partner with frontend (Next.js) on API contracts (schemas, pagination, error handling, caching, versioning).
Contribute to code reviews, best practices, and mentor junior engineers.
Required Qualifications
3-7 years building backend systems with Java, Spring Boot, and REST APIs.
Strong microservices and distributed systems experience.
Experience with relational (PostgreSQL or similar) and NoSQL (MongoDB, DynamoDB) databases.
Cloud-native development with Git workflows, CI/CD, Docker, and Kubernetes.
Strong debugging across logs, metrics, and traces; ability to resolve production issues.
Solid API and enterprise security knowledge.
Experience with AI-assisted dev tools (GitHub Copilot, CodeWhisperer, Tabnine).
Basic familiarity with Next.js or modern frontend frameworks.
Preferred Qualifications
Experience with Azure or GCP (managed Kubernetes, databases, secrets).
Event-driven architecture and messaging (Kafka or equivalents).
Observability tools (APM, logging, metrics) and SRE practices.
Experience integrating Generative AI (APIs, prompt/version management, safety controls).
Agile/Scrum experience and contributions to shared frameworks/libraries.
Location : Ideal location is Hartford , Connecticut
REMOTE is ok
Citizenship : USC/GC (will look at anyone who is a Quality resource)
Duration : 6+ months, extensions likely,
*** LinkedIn = MUST HAVE ***
Strong
Java (17+) + Spring Boot backend , microservices & distributed systems, REST APIs, SQL/NoSQL (PostgreSQL, MongoDB),
OAuth2/JWT security , Docker/Kubernetes, CI/CD (GitHub Actions/Jenkins), cloud (Azure/GCP), and production support with observability.
Key Responsibilities
Design, build, and evolve backend microservices using Java (17+), Spring Boot, and modern APIs (REST required; GraphQL optional).
Own service quality: performance, scalability, resiliency, observability, and production support (on-call as needed).
Implement data access and integrations across SQL and NoSQL systems with strong data modeling, indexing, and transactional integrity.
Apply distributed systems patterns (idempotency, retries, circuit breakers, rate limiting, graceful degradation).
Enforce security best practices (OAuth2, JWT, RBAC, secrets management, OWASP Top 10, secure coding).
Build and maintain CI/CD pipelines using GitHub Actions or Jenkins, Docker, and Kubernetes.
Collaborate with Product, QA, Architecture, and SRE/DevOps on design, testing, and production readiness.
Integrate Generative AI capabilities where applicable (e.g., orchestration, RAG, guardrails, API governance).
Partner with frontend (Next.js) on API contracts (schemas, pagination, error handling, caching, versioning).
Contribute to code reviews, best practices, and mentor junior engineers.
Required Qualifications
3-7 years building backend systems with Java, Spring Boot, and REST APIs.
Strong microservices and distributed systems experience.
Experience with relational (PostgreSQL or similar) and NoSQL (MongoDB, DynamoDB) databases.
Cloud-native development with Git workflows, CI/CD, Docker, and Kubernetes.
Strong debugging across logs, metrics, and traces; ability to resolve production issues.
Solid API and enterprise security knowledge.
Experience with AI-assisted dev tools (GitHub Copilot, CodeWhisperer, Tabnine).
Basic familiarity with Next.js or modern frontend frameworks.
Preferred Qualifications
Experience with Azure or GCP (managed Kubernetes, databases, secrets).
Event-driven architecture and messaging (Kafka or equivalents).
Observability tools (APM, logging, metrics) and SRE practices.
Experience integrating Generative AI (APIs, prompt/version management, safety controls).
Agile/Scrum experience and contributions to shared frameworks/libraries.