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Java Developer Gcp Jobs in Hartford, CT (NOW HIRING)

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 ...

The Hartford

Senior AI Machine Learning Engineer

Hartford, CT · Hybrid

$123.60K - $162.90K/yr

... or DevOps function. * Development experience using both the AWS and GCP suite of tools ... Strong object oriented development experience using Python, Java, C# * Familiarity with big data ...

Diverse Lynx

Test Automation Development

Hartford, CT · On-site

$46.50 - $61.25/hr

... programming concepts (e.g., Java OOPs, Data Structures) with the ability to adopt and work with ... GCP, or IBM Cloud). Company : Diverse Lynx is a WBENC- and NMSDC-certified partner, helping ...

CVS Health

Lead Data Privacy Engineer

Hartford, CT · On-site

$103.40K - $136.20K/yr

Python, Java, Go, Rust, or similar). * 5+ years of experience in designing and implementing ... Familiarity with cloud platforms (AWS, Azure, GCP) and various data technologies (SQL, NoSQL ...

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How much do java developer gcp jobs pay per hour?

As of May 30, 2026, the average hourly pay for java developer gcp in Hartford, CT is $57.19, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $64.04 per hour, depending on experience, location, and employer.

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 Hartford, CT? For Java Developer Gcp jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Java Developer Gcp jobs in Hartford, CT look for? The top searched job categories for Java Developer Gcp jobs in Hartford, CT are:
What cities near Hartford, CT are hiring for Java Developer Gcp jobs? Cities near Hartford, CT with the most Java Developer Gcp job openings:
Java Developer Gcp jobs near you

Senior QA Automation Engineer

Prophecy Technologies

Hartford, CT • On-site

Full-time

Posted 11 days ago

Job description

Role Overview:
The ideal candidate will have strong experience in Behavior Driven Development and Test Driven Development methodologies, automation scripting, and multi-channel solution (voice & chat) knowledge.
Key Responsibilities:
  • Design, develop, and maintain automated test scripts using industry-standard tools and frameworks (e.g., Selenium, Cypress, Playwright, Appium).
  • Build and enhance automation frameworks to support functional, regression, and performance testing.
  • Collaborate with developers and QA analysts to understand application functionality and define test coverage.
  • Execute automated test suites and analyze results to identify defects and ensure compliance with quality standards.
  • Integrate automated tests into CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps.
  • Monitor and maintain test execution in CI environments to ensure timely feedback.
  • Log, track, and verify defects using tools such as JIRA or Azure DevOps.
  • Work with development teams to reproduce issues and validate fixes.
  • Prepare detailed test plans, test cases, and automation scripts documentation.
  • Generate and present test execution reports to stakeholders.
  • Identify opportunities to improve automation coverage and efficiency.
  • Stay updated with emerging trends, tools, and best practices in test automation.

Required Skills:
  • 3+ years of experience in QA automation and software testing.
  • Strong technical expertise in core programming concepts (e.g., Java OOPs, Data Structures) with the ability to adopt and work with multiple languages such as Java, JavaScript, or Python.
  • Hands-on experience implementing and enhancing test automation frameworks, including designing scalable and maintainable solutions.
  • Conversational AI Testing: Hands-on experience or strong exposure to testing chatbots and voice-based virtual assistants across multiple platforms.
  • Hands-on experience with automation tools including Hammer On Demand, Cyara and Selenium.
  • Strong understanding of SDLC, Agile methodologies, and QA principles.
  • Experience with CI/CD tools and version control systems (e.g., Git).
  • BDD (e.g., Cucumber, SpecFlow) and TDD frameworks and methodologies.
  • Testing Expertise: Functional, Regression, Integration, and Performance Testing, including proficiency in backend API test automation and database testing.
  • Exposure to GenAI and AI-driven tools utilized for test automation, with an understanding of how these can be integrated into QA processes.
  • Strong analytical and problem-solving skills, excellent communication and collaboration abilities.
  • Ability to clearly articulate technical concepts and demonstrate practical problem-solving skills during discussions.

Qualifications:
  • 10+ years of overall experience.
  • Bachelor's degree in Computer Science, Engineering, or related field.

Preferred Skills:
  • Healthcare Domain Knowledge: Familiarity with HIPAA compliance and healthcare workflows.
  • AI Model Evaluation: Familiarity with key evaluation metrics such as accuracy, precision, recall, and F1-score for assessing AI model performance.
  • Experience with Agentic IDEs: Familiarity with AI-powered development environments (e.g., Windsurf, Cursor, or similar) for creating, maintaining, and optimizing automated test scripts.
  • Experience with API testing (REST, SOAP).
  • Knowledge of cloud platforms (AWS, GCP, or IBM Cloud).

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