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Java Developer Gcp Jobs in Connecticut (NOW HIRING)

The Hartford

Sr. Full Stack AI Engineer

Hartford, CT · On-site

... with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django, or C#/.NET * Cloud & DevOps: Strong hands-on experience deploying and operating on cloud platforms (AWS, GCP, or Azure ...

Purple Drive Technologies

Senior AWS Engineer

Hartford, CT · On-site

$105.40K - $144.80K/yr

Experience with Java * Familiarity with IVR systems and IVR-to-bot migration * Test automation ... Knowledge of GCP , Azure , and Splunk * Experience with Salesforce or Pega * Working knowledge of ...

Cvshealth

Associate Cloud Engineer

Hartford, CT · On-site

$67.98K - $135.96K/yr

... languages (e.g., Java, Python, JavaScript) * Developing andoptimizinguser interfaces with ... Experience with cloud development (GCP preferred) * Internship or work experience in a related ...

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Yuma Holdings LLC

Software Engineer

Stamford, CT · On-site

Strong proficiency in at least one modern programming language (Python, Java, JavaScript, Rust or ... Experience deploying, monitoring, and scaling applications in cloud environments (GCP, AWS, or ...

Staffingine LLC

Performance test Lead

Danbury, CT · On-site

... Java Python Shell and test automation frameworks * Experience with cloud platforms AWS Azure GCP ... Engineering- Tools (Chaos Monkey, Gremlin),Performance Testing -Emerging Tools (K6,Gatling ...

Nanda Technologies

Solutions Architect

Hartford, CT · On-site

$63.50 - $83.75/hr

Architectural/technical expertise with cloud especially GCP, Azure, AWS (native, cloud agnostic ... Experience designing REST APIs that facilitate a strong developer experience or simplify systems ...

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Java Developer Gcp information

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

To thrive as a Java Developer GCP, you need strong proficiency in Java programming, experience with cloud computing concepts, and a solid understanding of Google Cloud Platform (GCP) services. Familiarity with tools like Cloud Functions, BigQuery, Kubernetes, and relevant GCP certifications such as the Professional Cloud Developer are highly valuable. Excellent problem-solving abilities, adaptability, and effective communication help you work collaboratively in dynamic, cloud-based environments. These skills are crucial to building scalable, efficient, and secure cloud applications that meet organizational needs.

What are some common challenges Java Developers face when working with Google Cloud Platform (GCP)?

Java Developers working with GCP often encounter challenges such as optimizing application performance in a cloud-native environment, ensuring secure integration with various GCP services, and adapting to frequent updates in cloud technologies. Navigating GCP’s managed services like Cloud Functions, Pub/Sub, and BigQuery requires a solid understanding of both Java best practices and cloud architecture. Additionally, collaboration with DevOps teams is essential for successful deployment and scaling, making strong communication and problem-solving skills highly valuable.

What are Java Developer GCP roles and responsibilities?

A Java Developer GCP is a software engineer who specializes in building, deploying, and maintaining Java applications on Google Cloud Platform (GCP). Their responsibilities typically include developing cloud-native applications, integrating Java code with GCP services (such as Cloud Functions, App Engine, and Cloud Storage), and ensuring applications are secure, scalable, and efficient. They also work on CI/CD pipelines, troubleshoot cloud deployment issues, and collaborate with other teams to optimize cloud resources. Familiarity with Java frameworks (like Spring Boot) and GCP tools is essential for this role.

What is the difference between Java Developer Gcp vs Java Developer AWS?

AspectJava Developer GcpJava Developer AWS
CertificationsGoogle Cloud certifications (e.g., Professional Cloud Developer)AWS certifications (e.g., AWS Certified Developer)
Work EnvironmentGoogle Cloud Platform services, GCP-specific toolsAmazon Web Services, AWS-specific tools
Industry UsageOrganizations using GCP infrastructureOrganizations using AWS infrastructure
Common Search IntentComparing GCP-based Java roles with AWS-based roles

Java Developer Gcp and Java Developer AWS are similar roles focusing on Java development within cloud environments. The main difference lies in the cloud platform used: GCP versus AWS. Both roles require Java expertise and cloud certifications, but they specialize in different cloud services and tools. Your choice depends on the employer's cloud infrastructure and your certification preferences.

What are popular job titles related to Java Developer Gcp jobs in Connecticut? For Java Developer Gcp jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Java Developer Gcp jobs in Connecticut look for? The top searched job categories for Java Developer Gcp jobs in Connecticut are:
What cities in Connecticut are hiring for Java Developer Gcp jobs? Cities in Connecticut with the most Java Developer Gcp job openings:
Java Developer Gcp jobs near you
Sr. Full Stack AI Engineer

Sr. Full Stack AI Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

53rd of 259 rated insurance

Job description

Senior Staff Software Engineer - IE07HE
We'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.
# Full Stack Engineer - AI-Augmented Development
## Position Summary
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.
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 Responsibilities
### Hands-On Build & Delivery
  • Own features from concept through production release, writing and shipping high-quality code daily
  • Build, test, deploy, and iterate rapidly across frontend, backend, APIs, and data layers
  • Troubleshoot and resolve production issues, performance bottlenecks, and complex bugs
  • Implement and maintain CI/CD pipelines, automated testing, and deployment automation
  • Contribute to architectural decisions and design discussions as a practitioner, ensuring designs translate into solid implementations
  • Own system reliability, performance, and security for the services you build

### Full Stack Implementation
  • Build and ship modern frontend applications using frameworks such as React, Angular, or Vue.js with TypeScript
  • Develop, deploy, and operate robust backend services using Java (Spring Boot), Node.js, Python, or .NET
  • Implement and optimize RESTful APIs, GraphQL endpoints, and event-driven integrations
  • Configure and manage cloud-native infrastructure (AWS or GCP) including containers, serverless, and infrastructure-as-code
  • Build and tune data layers across relational and NoSQL databases, caching, and message queues
  • Write clean, well-tested, production-ready code with a focus on maintainability and operational excellence

### AI-Augmented Development
  • Leverage AI coding assistants (GitHub Copilot, Cursor, Claude Opus, etc.) to dramatically accelerate development workflows
  • Use AI tools for code generation, refactoring, test writing, documentation, and code review
  • Integrate large language model (LLM) APIs and AI/ML services into applications (e.g., OpenAI, GCP Vertex, AWS Bedrock)
  • Design and implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering strategies, and AI-powered features
  • Evaluate, select, and champion AI tools and practices that improve team productivity
  • Develop custom agents, workflows, and automations using AI platforms and frameworks (Vertex Studio, Semantic Kernel, CrewAI, etc.)
  • Establish guardrails, security practices, and governance for responsible AI usage in engineering

### Technical Leadership & Mentorship
  • Influence engineering culture by evangelizing AI-augmented development practices
  • Train and upskill team members on effective use of AI tools in their daily workflows
  • Contribute to internal knowledge bases, tech talks, and communities of practice
  • Partner with product, design, and data science teams to identify AI-driven opportunities

## Required Qualifications
  • Experience: 10+ years of professional software engineering experience, with 5+ years in hands-on full stack delivery roles
  • Education: Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
  • Frontend: Expert-level proficiency building production applications with modern JavaScript/TypeScript frameworks (React, Angular, or Vue.js), HTML5, CSS3, responsive design, and accessibility standards
  • Backend: Deep hands-on experience building and operating services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django, or C#/.NET
  • Cloud & 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)
  • Data: Proficiency building and optimizing data layers with SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB, Redis), data modeling, and query tuning
  • API Implementation: Proven track record building RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)
  • AI Tools Proficiency:

- Advanced daily usage of AI coding assistants (GitHub Copilot, Cursor, or equivalent)
- Experience integrating LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production applications
- Familiarity with prompt engineering, fine-tuning, embeddings, and vector databases
- Track record of measurably improving team velocity through AI tool adoption
  • Testing: Strong testing practices including unit, integration, and end-to-end testing with modern frameworks
  • Architecture: Working knowledge of distributed systems, microservices, and event-driven patterns; ability to contribute to and implement architectural designs

## Preferred Qualifications
  • Experience building AI/ML-powered product features (chatbots, intelligent search, recommendation engines, content generation)
  • Familiarity with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI)
  • Experience with agent-based AI architectures and autonomous workflows
  • Contributions to open-source projects or published technical content
  • Experience in regulated industries (insurance, finance, healthcare) with security and compliance requirements
  • Certifications in cloud platforms (AWS Solutions Architect, GCP Professional Cloud Architect, etc.)

## Technical Competencies
| Domain | Expected Proficiency |
|---|---|
| Frontend Development | Expert |
| Backend Development | Expert |
| Cloud & Infrastructure | Advanced |
| CI/CD & DevOps | Advanced |
| System Design & Architecture | Advanced |
| AI Tools & Copilots | Expert |
| LLM Integration & Prompt Engineering | Advanced |
| Security & Compliance | Advanced |
| Testing & Quality | Expert |
| Mentorship & Leadership | Advanced |
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.
Compensation
The 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 - $191,400
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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