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Java Full Stack Software Engineer Jobs in New Haven, CT

Relativity

Software Engineer

Bridgeport, CT · On-site

Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack * Strong foundational knowledge of distributed systems, scalability, and ...

Vazoola

Full Stack Web Developer

Stratford, CT · On-site

$80 - $100/hr

Responsibilities * Develop new features for key business systems and client portals, while assisting in support for existing features. * Test new features, and bug hunt before public release.

Varsity Tutors

Java Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Emphasizes clean code principles and test-driven development, connecting Java to web development, Android applications, and enterprise software engineering. * Curriculum Awareness & Adaptive ...

Varsity Tutors

Java Tutor

New Haven, CT · Remote

$18 - $40/hr

Emphasizes clean code principles and test-driven development, connecting Java to web development, Android applications, and enterprise software engineering. * Curriculum Awareness & Adaptive ...

Medtronic

Principal Software Engineer

North Haven, CT · On-site

$134K - $180K/yr

... through full-scale production. The position drives continuous improvement by designing and ... Experience with relevant programming languages, frameworks, and technologies (e.g., Java, C++, NET ...

Medtronic

Principal Software Engineer

North Haven, CT · On-site

$134K - $180K/yr

... through full-scale production. The position drives continuous improvement by designing and ... Experience with relevant programming languages, frameworks, and technologies (e.g., Java, C++, NET ...

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All JobsJava Full Stack Software Engineer JobsJava Full Stack Software Engineer Jobs in New Haven, CT

Java Full Stack Software Engineer information

See New Haven, CT salary details

$10

$58

$78

How much do java full stack software engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for java full stack software engineer in New Haven, CT is $58.41, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $65.53 per hour, depending on experience, location, and employer.

What is a Java full stack software engineer?

A Java Full Stack Software Engineer is a developer who is proficient in both front-end and back-end technologies, with a strong focus on Java for server-side programming. They are capable of designing, developing, and maintaining applications that involve user interfaces, server logic, databases, and sometimes even deployment. These engineers typically work with frameworks like Spring Boot for the backend and technologies such as HTML, CSS, JavaScript, and Angular or React for the frontend. Their expertise allows them to handle end-to-end development tasks, making them valuable assets for building comprehensive web applications.

What are the key skills and qualifications needed to thrive as a Java full stack software engineer?

To thrive as a Java Full Stack Software Engineer, you need strong proficiency in Java, front-end frameworks (such as React or Angular), and a solid understanding of software development principles, usually supported by a degree in computer science or related field. Familiarity with tools like Spring Boot, RESTful APIs, version control systems (e.g., Git), and databases (SQL/NoSQL) is typically required. Excellent problem-solving skills, collaboration, and effective communication set standout engineers apart in team environments. These competencies ensure the delivery of scalable, maintainable, and user-centric applications in dynamic development settings.

What are some common challenges faced by Java full stack software engineers when integrating front-end and back-end components?

Java Full Stack Software Engineers often encounter challenges in ensuring seamless communication between the front-end and back-end, such as managing data consistency, handling API versioning, and synchronizing release cycles between teams. Debugging issues that span both the client and server sides can also be complex, requiring strong problem-solving skills and familiarity with multiple frameworks. Collaborating effectively with UI/UX designers and DevOps teams is essential to address these challenges and deliver robust, user-friendly applications.

What is the difference between Java Full Stack Software Engineer vs Java Backend Developer?

AspectJava Full Stack Software EngineerJava Backend Developer
Required SkillsProficiency in Java, front-end technologies (HTML, CSS, JavaScript), and frameworks like React or AngularStrong Java skills, experience with server-side frameworks like Spring, and database management
Work EnvironmentInvolves both front-end and back-end development, often in agile teamsPrimarily focuses on server-side development and backend systems
Common UsageUsed across full-stack development projects in various industriesSpecialized in backend services, APIs, and database integration

While both roles require Java expertise, a Java Full Stack Software Engineer handles both front-end and back-end development, offering a broader scope. In contrast, a Java Backend Developer specializes in server-side logic and database management, focusing on backend systems.

Is Java full stack software engineer still in demand?

Java full stack software engineers remain in high demand due to their versatility in developing both front-end and back-end applications, especially with the continued use of Java frameworks like Spring and Angular. Companies seek professionals with skills in Java, JavaScript, and related technologies to support enterprise-level projects and digital transformation efforts.

What cities near New Haven, CT are hiring for Java Full Stack Software Engineer jobs?

Cities near New Haven, CT with the most Java Full Stack Software Engineer job openings:

Java Full Stack Software Engineer jobs near you

Software Engineer

Bridgeport, CT • On-site

Relativity
See more jobs at Relativityexternal

Other

Medical, Retirement

Re-posted 20 days ago

Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting

Apply