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Java Full Stack Software Engineer Jobs in Connecticut

Java Full Stack Developer

Groton, CT · On-site

$52.25 - $67.25/hr

Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development ... At least 4 years of experience in Java technologies like Core Java (JDBC), J2EE (JSP, JSTL ...

Java Full Stack Developer

Groton, CT · On-site

$52.25 - $67.25/hr

Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development ... At least 4 years of experience in Java technologies like Core Java (JDBC), J2EE (JSP, JSTL ...

... full-stack software applications supporting investment research and internal business processes ... engineering fundamentals, including clean code, testing, debugging, and system design - Strong ...

Build and maintain full-stack software applications supporting investment research and internal ... Strong software engineering fundamentals, including clean code, testing, debugging, and system ...

Showing results 21-40

Java Full Stack Software Engineer information

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 in Connecticut are hiring for Java Full Stack Software Engineer jobs?

Cities in Connecticut with the most Java Full Stack Software Engineer job openings:

Software Engineer III - Full-stack Developer with Anthropic Experience

Hartford, CT • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Posted 5 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/1/2026.

Work you'll do

As a Senior Consultant, Software Engineer III, AI & Engineering on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements.

  • Architect, design and implement scalable full-stack features across front-end and back-end systems.
  • Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
  • Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
  • Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions.
  • Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews.
  • Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

  • 6+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment.
  • 4+ years of experience designing, developing and delivering AI/ML solutions
  • At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
  • At least 1 year of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integrations
  • At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models
  • At least 1 year of experience applying prompt engineering, context engineering, structured outputs and related techniques to improve the performance, reliability and usability of AI solutions
  • 1+ years of experience leading project workstreams or engagement, translating business problems into AI solutions and delivering measurable outcomes
  • 4+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js.
  • 4+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces.
  • Experience with at least one major cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and one year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Docker and Kubernetes.
  • Experience with continuous integration/continuous deployment pipelines and DevOps practices.
  • Experience working in an Agile/Scrum environment using tools such as Jira or Linear.
  • Contributions to open-source projects or a portfolio demonstrating software development work.
  • Industry-recognized cloud certifications such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Professional Developer.
  • Experience using Claude Cowork to support enterprise workflows, automation, research or other knowledge-work cases
  • Hands-on experience using Claude through one of more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/1/2026.

Work you'll do

As a Senior Consultant, Software Engineer III, AI & Engineering on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements.

  • Architect, design and implement scalable full-stack features across front-end and back-end systems.
  • Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
  • Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
  • Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions.
  • Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews.
  • Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

  • 6+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment.
  • 4+ years of experience designing, developing and delivering AI/ML solutions
  • At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
  • At least 1 year of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integrations
  • At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models
  • At least 1 year of experience applying prompt engineering, context engineering, structured outputs and related techniques to improve the performance, reliability and usability of AI solutions
  • 1+ years of experience leading project workstreams or engagement, translating business problems into AI solutions and delivering measurable outcomes
  • 4+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js.
  • 4+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces.
  • Experience with at least one major cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and one year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.
  • Ability to travel 50%, on ...

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