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Junior Java Programming Jobs in Connecticut (NOW HIRING)

CVS Health

Sr Mgr, Quality Engineering

Hartford, CT · On-site

$130K - $260K/yr

... programming languages such as Java, Python, or C#. Develop, optimize, and execute software test ... Mentor junior software developers and engineers, providing guidance on automation frameworks ...

CVS Health

Sr. Software Development Engineer

Hartford, CT · On-site +1

$147K - $203K/yr

... practices; and mentor junior team members. Telecommuting available. Multiple positions ... Java, Python, or Node.js; COBOL and JCL; IBM DB2, Oracle, or Hibernate; SQL, MS Access, or MS Excel;

CVS Health

Sr Software Development Engineer

Hartford, CT · On-site +1

$106K - $203K/yr

Mentor junior team members; independently lead development of solutions with high complexity and ... Java, Python, or Node.js;XML, JSON, HTML, CSS, or JavaScript;Agile methodologies or SAFe Software ...

Pwc

Senior Technical Product Owner

Hartford, CT

$127K - $168K/yr

You will also guide and mentor junior team members, fostering a collaborative environment that ... Working knowledge of Java, Python, and C++ to guide effectively engineering discussions and ...

Pwc

Senior Technical Product Owner

Stamford, CT

$134K - $178K/yr

You will also guide and mentor junior team members, fostering a collaborative environment that ... Working knowledge of Java, Python, and C++ to guide effectively engineering discussions and ...

CVS Health

Mgr,Scrum Master

Hartford, CT · On-site +1

$147K - $203K/yr

Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Electrical ... Java or J2EE; Web services and technologies; Project management, including coordinating with other ...

CVS Health

Manager, Scrum Master

Hartford, CT · On-site

$142K - $203K/yr

... mentor junior team members. Multiple positions. Requirements: Master's degree (or foreign ... Java, Python, or Node.js; R or SQL; CI/CD, Jenkins, GIT, or DevOps; Domain support for healthcare ...

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All JobsJava Programming JobsJunior Java Programming JobsJunior Java Programming Jobs in Connecticut

Junior Java Programming information

See Connecticut salary details

$58K

$101.6K

$153.2K

How much do junior java programming jobs pay per year?

As of Jul 8, 2026, the average yearly pay for junior java programming in Connecticut is $101,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $101,300.00 per year, depending on experience, location, and employer.

What is the difference between Junior Java Programming vs Junior Software Developer?

AspectJunior Java ProgrammingJunior Software Developer
Required CredentialsJava certifications, basic programming knowledgeGeneral programming skills, possibly Java certifications
Work EnvironmentDevelopment teams, Java-focused projectsVaried projects, multiple languages, broader scope
Employer & Industry UsageTech companies, software firms using JavaWide range of industries, including tech, finance, and startups
Common Search & ComparisonYesYes

Junior Java Programming typically focuses on Java-specific skills and certifications, working mainly within Java development teams. In contrast, Junior Software Developer roles may involve multiple programming languages and broader responsibilities across various projects. Both roles are entry-level and often overlap in skills, but Java programming is more specialized.

What are the key skills and qualifications needed to thrive as a Junior Java Programmer, and why are they important?

To thrive as a Junior Java Programmer, you need a solid understanding of Java fundamentals, object-oriented programming principles, and a relevant degree or coursework in computer science. Familiarity with integrated development environments (IDEs) like Eclipse or IntelliJ IDEA, version control systems such as Git, and basic knowledge of build tools like Maven is typically expected. Problem-solving abilities, attention to detail, and good teamwork and communication skills help you stand out in this role. These skills and qualities are crucial for writing reliable code, collaborating effectively, and adapting quickly in a dynamic software development environment.

What are some common challenges a Junior Java Programmer might face when starting out, and how can they overcome them?

As a Junior Java Programmer, you may initially find it challenging to understand large codebases, manage debugging complex issues, or adapt to new frameworks used by the team. It's common to feel overwhelmed by unfamiliar tools or best practices. To overcome these challenges, actively seek mentorship from senior developers, participate in code reviews, and dedicate time to practice and learn outside of daily tasks. Collaboration and communication within your team are key to quickly building your skills and confidence in the role.

What does a Junior Java Programmer do?

A Junior Java Programmer is an entry-level software developer who specializes in writing, testing, and maintaining Java applications. They typically work under the supervision of senior developers, assisting with coding, debugging, and implementing features. Their tasks often include fixing bugs, participating in code reviews, and learning best practices in software development. This role is ideal for individuals who are new to programming and looking to gain practical experience in Java development within a team environment.
What are the most commonly searched types of Java Programming jobs in Connecticut? The most popular types of Java Programming jobs in Connecticut are:
Junior Java Programming jobs near you
Infographic showing various Junior Java Programming job openings in Connecticut as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $101,621 per year, or $48.9 per hour.

AI Architect in Hartfort, CT 06155 and Charlotte, NC 28212 - Hybrid

Amicis Global

Hartford, CT • On-site

$80 - $90/hr

Contractor

Re-posted 18 days ago

Job description

ob Title: AI Architect
Location:  Hartfort, CT 06155 - Hybrid
Duration: 06 Months + Extensions
 
Role Overview:
The Hartford is seeking a highly skilled, hands-on AI Architect to support the Enterprise Technology Architecture (ETA) organization. This role will be responsible for leading the design, governance, and implementation of AI-centric technology architectures across a hybrid infrastructure landscape, including AWS, Google Cloud Platform (GCP), and on premises data centers.
The AI Architect will play a critical role in enabling the responsible and secure adoption of Generative AI (GenAI) technologies, establishing architectural standards, and driving the implementation of multiple internal-facing GenAI use cases. This role requires a strong blend of strategic architectural background and hands-on technical execution.
Key Responsibilities:
Architecture & Strategy
  • Design and develop Agentic AI solutions leveraging Google ADK, LangGraph/Langchain  and Agent Engine on Google Cloud Platform (GCP).
  • Deliver innovative AI capabilities that enhance business processes and customer experiences through GenAI and Agentic AI frameworks.
  • Ensure AI solutions align with enterprise technology strategy and meet scalability, security, and compliance requirements.
  • Drive adoption of GenAI and Agentic AI frameworks across business units.
  • Conduct proof-of-concepts (POCs) for emerging AI technologies and frameworks.
  • Collaborate with enterprise architects to ensure AI solutions align with technology strategy and reference architectures.
  • Stay current with AI trends, frameworks, and best practices to propose innovative solutions.
  • Cloud Security (AWS & GCP)
  • Architect and implement secure cloud solutions leveraging native services and third-party tools.
  • Define and enforce cloud security posture management (CSPM), identity and access management (IAM), and encryption strategies.
  • Collaborate with DevOps and cloud engineering teams to embed security into CI/CD pipelines and infrastructure-as-code.
  • Datacenter & Hybrid Security
  • Ensure secure integration between cloud platforms and on-prem data centers, including network segmentation, VPNs, and secure data flows.
  • Oversee security controls for legacy systems and their modernization paths.
  • GenAI Security Enablement
  • Define security and governance frameworks for GenAI platforms and use cases.
  • Ensure responsible AI practices including data privacy, model integrity, and ethical AI usage.
  • Collaborate with AI/ML teams to secure model training, inference, and deployment pipelines.
  • Governance & Collaboration
  • Serve as a key member of the Enterprise Technology & Solution Governance
  • Partner with business, IT, and risk stakeholders to align security architecture with enterprise goals.
  • Provide technical guidance and mentorship to junior engineers and architects on AI development practices.
Required Qualifications:
Experience:
  • 10-12 years in Software Engineering, with at least 2+ years in GenAI and Agentic AI development.
  • Project Delivery:
  • Must have delivered at least one GenAI or Agentic AI project end-to-end.
Technical Expertise:
  • Strong proficiency in Google ADK, LangGraph/Langchain, Agent Engine, and Vertex AI.
  • Hands-on experience with GCP services: Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking.
  • Solid understanding of GenAI patterns, LLM fine-tuning, and prompt engineering.
Programming Skills:
  • Python, Java, or similar languages for AI development.
Cloud Certifications:
  • GCP Professional Machine Learning Engineer or GCP Professional Cloud Architect preferred.
Education:
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
Soft Skills:
  • Strong problem-solving, communication, and collaboration skills.

Key Competencies:
  • Strategic and analytical thinking
  • Successfully integrated AI agents into business or technical workflows for automation and enhanced decision-making.
  • Improved operational efficiency and customer experience through AI-driven innovation.
  • Established reusable AI patterns and best practices for enterprise adoption.
  • Strong communication and stakeholder engagement
  • Proactive and solution-oriented mindse 
 
 
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