Explore 3 senior full stack java react developer jobs from 2 hiring companies in Hebron, CT, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Senior Full Stack Java React Developer

Willimantic

Mansfield City

Windham

Manchester

Storrs

Glastonbury

East Hartford

Hartford

Tolland

Wethersfield

Middletown

Montville Center

Cromwell

Norwich

South Windsor

Newington

Ellington

West Hartford

New Britain

Senior Full Stack Java React Developer Jobs

The Hartford

D-Wave Quantum

Hybrid

Senior Staff Software Engineer - IE07HEWe’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.            <div><div># Full Stack Engineer — AI-Augmented Development</div> <div>## Position Summary</div> <div>We are seeking a highly skilled Full Stack Engineer who combines deep software engineering expertise with advanced proficiency in AI-powered development tools. This role is focused on hands-on building and delivery — a practitioner who ships production-quality code end-to-end across the stack while leveraging AI to accelerate development velocity, improve code quality, and drive innovation.</div> This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). <div>---</div> <div>## Key Responsibilities</div> <div>### Hands-On Build &amp; Delivery</div><div>- Own features from concept through production release, writing and shipping high-quality code daily</div><div>- Build, test, deploy, and iterate rapidly across frontend, backend, APIs, and data layers</div><div>- Troubleshoot and resolve production issues, performance bottlenecks, and complex bugs</div><div>- Implement and maintain CI/CD pipelines, automated testing, and deployment automation</div><div>- Contribute to architectural decisions and design discussions as a practitioner, ensuring designs translate into solid implementations</div><div>- Own system reliability, performance, and security for the services you build</div> <div>### Full Stack Implementation</div><div>- Build and ship modern frontend applications using frameworks such as React, Angular, or Vue.js with TypeScript</div><div>- Develop, deploy, and operate robust backend services using Java (Spring Boot), Node.js, Python, or .NET</div><div>- Implement and optimize RESTful APIs, GraphQL endpoints, and event-driven integrations</div><div>- Configure and manage cloud-native infrastructure (AWS or GCP) including containers, serverless, and infrastructure-as-code</div><div>- Build and tune data layers across relational and NoSQL databases, caching, and message queues</div><div>- Write clean, well-tested, production-ready code with a focus on maintainability and operational excellence</div> <div>### AI-Augmented Development</div><div>- Leverage AI coding assistants (GitHub Copilot, Cursor, Claude Opus, etc.) to dramatically accelerate development workflows</div><div>- Use AI tools for code generation, refactoring, test writing, documentation, and code review</div><div>- Integrate large language model (LLM) APIs and AI/ML services into applications (e.g., OpenAI, GCP Vertex, AWS Bedrock)</div><div>- Design and implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering strategies, and AI-powered features</div><div>- Evaluate, select, and champion AI tools and practices that improve team productivity</div><div>- Develop custom agents, workflows, and automations using AI platforms and frameworks (Vertex Studio, Semantic Kernel, CrewAI, etc.)</div><div>- Establish guardrails, security practices, and governance for responsible AI usage in engineering</div> <div>### Technical Leadership &amp; Mentorship</div><div>- Influence engineering culture by evangelizing AI-augmented development practices</div><div>- Train and upskill team members on effective use of AI tools in their daily workflows</div><div>- Contribute to internal knowledge bases, tech talks, and communities of practice</div><div>- Partner with product, design, and data science teams to identify AI-driven opportunities</div> <div>---</div> <div>## Required Qualifications</div> <div>- **Experience:** 10&#43; years of professional software engineering experience, with 5&#43; years in hands-on full stack delivery roles</div><div>- **Education:** Bachelor&#39;s degree in Computer Science, Software Engineering, or related field (or equivalent experience)</div><div>- **Frontend:** Expert-level proficiency building production applications with modern JavaScript/TypeScript frameworks (React, Angular, or Vue.js), HTML5, CSS3, responsive design, and accessibility standards</div><div>- **Backend:** Deep hands-on experience building and operating services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django, or C#/.NET</div><div>- **Cloud &amp; DevOps:** Strong hands-on experience deploying and operating on cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD tooling (Jenkins, GitHub Actions, GitLab CI)</div><div>- **Data:** Proficiency building and optimizing data layers with SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB, Redis), data modeling, and query tuning</div><div>- **API Implementation:** Proven track record building RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)</div><div>- **AI Tools Proficiency:**</div><div>  - Advanced daily usage of AI coding assistants (GitHub Copilot, Cursor, or equivalent)</div><div>  - Experience integrating LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production applications</div><div>  - Familiarity with prompt engineering, fine-tuning, embeddings, and vector databases</div><div>  - Track record of measurably improving team velocity through AI tool adoption</div><div>- **Testing:** Strong testing practices including unit, integration, and end-to-end testing with modern frameworks</div><div>- **Architecture:** Working knowledge of distributed systems, microservices, and event-driven patterns; ability to contribute to and implement architectural designs</div> <div>---</div> <div>## Preferred Qualifications</div> <div>- Experience building AI/ML-powered product features (chatbots, intelligent search, recommendation engines, content generation)</div><div>- Familiarity with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI)</div><div>- Experience with agent-based AI architectures and autonomous workflows</div><div>- Contributions to open-source projects or published technical content</div><div>- Experience in regulated industries (insurance, finance, healthcare) with security and compliance requirements</div><div>- Certifications in cloud platforms (AWS Solutions Architect, GCP Professional Cloud Architect, etc.)</div> <div>---</div> <div>## Technical Competencies</div> <div>| Domain | Expected Proficiency |</div><div>|---|---|</div><div>| Frontend Development | Expert |</div><div>| Backend Development | Expert |</div><div>| Cloud &amp; Infrastructure | Advanced |</div><div>| CI/CD &amp; DevOps | Advanced |</div><div>| System Design &amp; Architecture | Advanced |</div><div>| AI Tools &amp; Copilots | Expert |</div><div>| LLM Integration &amp; Prompt Engineering | Advanced |</div><div>| Security &amp; Compliance | Advanced |</div><div>| Testing &amp; Quality | Expert |</div><div>| Mentorship &amp; Leadership | Advanced |</div> <div>---</div>Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.  </div>CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$127,600 - $191,400Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age<a href="https://www.thehartford.com/about-us" target="_blank">About Us</a> | <a href="https://www.thehartford.com/about-us/corporate-culture" target="_blank">Our Culture</a> | <a href="https://www.thehartford.com/careers/our-employees" target="_blank">What It’s Like to Work Here</a> | <a href="https://www.thehartford.com/careers/benefits" target="_blank">Perks &amp; Benefits</a>

Sr. Full Stack AI Engineer

10+ years software engineering; 5+ years full stack delivery; Bachelor’s in CS/SE or related; expert frontend/backend; cloud/DevOps; data stores; API/AI tools; testing; architecture; leadership.

Manager Software Engineering - IE07FEWe’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.            The Enterprise Cyber Focal Office - Manager of Software Engineering is a senior, hands-on technical leader and trusted partner to the Enterprise Cyber Focal Lead. This role is responsible for designing, developing, and implementing complex, AI‑driven cyber security solutions that strengthen application security, vulnerability management, and enterprise cyber resilience.Operating at a technical lead/manager (T7) level, this role combines deep engineering expertise, cloud-native architecture, and applied AI with strong leadership and influence across Cyber, Reliability Engineering, Infrastructure Engineering and Software Engineering teams. The role also provides technical leadership and direction to offshore teams and drives adoption of secure-by-design engineering practices across the enterprise.This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key ResponsibilitiesTechnical Leadership &amp; Solution Delivery<ul><li>Serve as a trusted technical advisor to the Enterprise Cyber Focal Lead, translating cyber strategy into scalable, high‑impact technical solutions.</li><li>Design, build, and implement complex cyber solutions leveraging AI/ML to improve threat detection, vulnerability management, risk prioritization, and automation.</li><li>Lead end-to-end solution architecture, including design reviews, implementation, and operational readiness for cyber platforms and tooling.</li><li>Apply full‑stack application development expertise to build secure, resilient, and performant cyber applications and services.</li></ul>Cloud &amp; AI Engineering<ul><li>Architect and deliver solutions using AWS cloud services, following cloud-native, well‑architected, and security principles.</li><li>Apply hands-on AI/ML capabilities (GCP preferred) to build and operationalize intelligent cyber capabilities (e.g., analytics, anomaly detection, automation, decision support).</li><li>Partner with data, AI, and platform teams to ensure solutions are scalable, secure, and production-ready.</li></ul>Application Security<ul><li>Demonstrated hands‑on experience with enterprise security, logging, and monitoring platforms (e.g., Splunk, Dynatrace, Orca Security, Akamai), leveraging these tools to drive threat detection, observability, and risk reduction at scale.</li><li>Applies deep technical expertise in security telemetry, application logging, and runtime monitoring to design, integrate, and optimize application level security and observability capabilities enterprise‑wide.</li><li>Experienced in Leveraging GitHub Copilot as a hands‑on productivity and quality accelerator for secure software development, including code scaffolding, refactoring, test generation, and documentation, while ensuring adherence to enterprise security and coding standards.</li></ul>Application Vulnerability Management<ul><li>Own and lead application vulnerability management from a technical standpoint, including tooling, integrations, automation, and remediation workflows.</li><li>Partner with CISO (THIP) and Engineering organization and drive modernization and automation of vulnerability intake, prioritization, and reporting using AI and data-driven techniques.</li><li>Partner with application teams to embed vulnerability remediation into SDLC and CI/CD pipelines.</li></ul>Engineering Partnership &amp; Best Practices<ul><li>Act as a trusted partner to Security, Platform, Reliability and Software Engineers, enabling secure, reliable, and resilient application delivery.</li><li>Define, promote, and enforce application security best practices, including secure coding, dependency management, secrets handling, logging, and monitoring.</li><li>Influence engineering teams through technical standards, reference architectures, and hands-on guidance rather than mandate.</li></ul>Team Leadership &amp; Delivery Excellence<ul><li>Provide technical leadership to an offshore engineering team, including design guidance, code reviews, mentoring, and delivery oversight.</li><li>Ensure high engineering quality, operational stability, and adherence to enterprise security and compliance standards.</li><li>Contribute to roadmap planning, prioritization, and continuous improvement of cyber platforms and capabilities.</li></ul>Required Experience &amp; Qualifications<ul><li>7-10&#43; years of experience in software engineering, platform engineering, or cyber-focused application development, with time in technical leadership roles.</li><li>Strong full‑stack application development experience (frontend, backend, APIs, integrations). This includes proficiency in modern UI frameworks and languages such as HTML, CSS, JavaScript/TypeScript, and frameworks like React or Angular, along with strong back‑end experience using languages and frameworks such as Java, C#, Python, or Node.js.</li><li>The role requires expertise in API design (REST/GraphQL), database technologies (SQL and NoSQL), and cloud‑native development on platforms such as Azure or AWS. A full‑stack tech lead is also adept in CI/CD practices, infrastructure‑as‑code, containerization (e.g., Docker, Kubernetes), and secure coding principles, with hands‑on experience integrating security, logging, monitoring, and performance tools.</li><li>Strong problem‑solving skills, system‑level thinking, and the ability to collaborate across product, security, and operations teams are essential to delivering scalable, resilient, and secure applications.</li><li>Deep hands-on experience with AWS cloud architecture and related services. Demonstrated hands-on AI/ML implementation experience, with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent).</li><li>Proven experience designing and delivering enterprise-scale cyber, security or application platforms.</li><li>Experience leading and mentoring distributed/offshore technical teams.</li><li>Ability to operate as a trusted partner and influencer across Cyber, Engineering, and Infrastructure organizations.</li><li>Experience across logging and monitoring, edge and application security, AI‑assisted development, ITSM workflows, CI/CD pipelines, and automated deployment platforms, ensuring scalable, secure, and repeatable engineering practices.</li><li>Knowledge of application security, vulnerability management, and secure SDLC practices is preferred.</li></ul>CertificationsOne or more certificates will be a strong differentiator -<ul><li>AWS Certification (e.g., Solutions Architect, DevOps Engineer)</li><li>AI / ML Certification (AWS, GCP, or equivalent)</li><li>Security Certification (e.g., CISSP, CISM, CSSLP, CCSP, CompTIA, ISC2, GIAC, EC-Council)</li><li>IBM, Meta, Microsoft full stack developer certification</li></ul>Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$133,200 - $199,800Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age<a href="https://www.thehartford.com/about-us" target="_blank">About Us</a> | <a href="https://www.thehartford.com/about-us/corporate-culture" target="_blank">Our Culture</a> | <a href="https://www.thehartford.com/careers/our-employees" target="_blank">What It’s Like to Work Here</a> | <a href="https://www.thehartford.com/careers/benefits" target="_blank">Perks &amp; Benefits</a>

Manager Software Engineering - Cyber Focal

Manager Software Engineering

7-10+ years in software/ platform engineering with technical leadership; strong full-stack, cloud, AI/ML; security, CI/CD; offshore team leadership.

Senior Software Engineer, Calibration, Automation & Tools 

Senior Software Engineer

BS or higher in CS/EE/Math/Physics; 5+ years full-stack dev; strong Python and at least one high-level language; frontend and backend proficiency; microservices, REST APIs, SQL; AWS, CI/CD; testing; excellent communication.

Senior Full Stack Java React Developer Jobs in Hebron, CT, US | HiringCafe: every job on earth

Senior Full Stack Java React Developer Jobs in Hebron, CT, US

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