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

Software Development Engineer

Hartford, CT · On-site +1

$106K - $158K/yr

Java, Python, or Node.js; Agile methodologies or SAFe Software Development Principles; SQL or SAS ... Google Cloud Platform (GCP) or Big Query; Monitoring and maintaining data quality within the ...

Senior Software Engineer

Hartford, CT · Remote

$91K - $163K/yr

NET Core or Java * 3 years of experience with MS SQL/TSQL and building web and Windows applications ... GCP * 1 years of experience with DevOps using Docker or Kubernetes, Helm or Terraform or CI/CD ...

Manager, Scrum Master

Hartford, CT · On-site

$142K - $203K/yr

Amazon Web Services (AWS) or Google Cloud Platform (GCP); Java, Python, or Node.js; R or SQL; CI/CD, Jenkins, GIT, or DevOps; Domain support for healthcare or retail organization; Web and mobile ...

Sr. Software Development Engineer

Hartford, CT · On-site +1

$147K - $203K/yr

Java, Python, or Node.js; COBOL and JCL; IBM DB2, Oracle, or Hibernate; SQL, MS Access, or MS Excel ... Azure, AWS, or Google Cloud Platform (GCP); Preparing high level designs, low level designs, test ...

Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a ... Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications ...

Amazon Web Services (AWS) or Google Cloud Platform (GCP); Java, Python, or Node.js; R or SQL; CI/CD, Jenkins, GIT, or DevOps; Domain support for healthcare or retail organization; Web and mobile ...

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Java Developer Gcp information

See Manchester, CT salary details

$15

$57

$78

How much do java developer gcp jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for java developer gcp in Manchester, CT is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $64.09 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 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 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 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 job categories do people searching Java Developer Gcp jobs in Manchester, CT look for? The top searched job categories for Java Developer Gcp jobs in Manchester, CT are:
What cities near Manchester, CT are hiring for Java Developer Gcp jobs? Cities near Manchester, CT with the most Java Developer Gcp job openings:
Staff Software Engineer - AI

$127K - $191K/yr

Full-time

Posted 3 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

51st of 263 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.
Position Overview
We are seeking a highly motivated, visionary and technically accomplished AI engineer/Software developer to join our team and lead the design, development, deployment, and adoption of AI and machine learning solutions. This role will focus on building agentic AI systems, generative AI workflows, and scalable data platforms that power intelligent decision-making across the enterprise. The ideal candidate will possess deep expertise in AI/ML, software engineering, quality engineering, and cloud-native architectures, with a passion for solving complex problems using cutting-edge technologies.
Key Responsibilities
  • Develop Algorithms that enable AI agents to perform tasks without step-by-step instructions.
  • Design and implement agentic AI systems capable of autonomous decision-making, learning from experience, and adapting to dynamic goals and contexts
  • Design and develop multi-agent frameworks using tools such as LangGraph, Crew AI, or Semantic Kernel to orchestrate intelligent workflows.
  • Design and develop machine learning techniques that allow agents to learn from experience and adapt over time.
  • Translate business requirements into agentic AI solutions.
  • Collaborate with data scientists, software engineers, business stakeholders, and product teams to integrate AI solutions into production systems.
  • Conduct context and prompt engineering using zero-shot, few-shot, and chain-of-thought techniques to enhance model performance and relevance.
  • Optimize agents based on different models for performance, scalability, and accuracy.
  • Ensure ethical AI practices and compliance with data privacy regulations.
  • Document processes, models, and code for transparency and reproducibility.
  • Conduct research and stay up to date with the latest advancements in AI/ML technologies.

AI-Driven Testing & Innovation
  • Evaluate, implement, and scale AI-powered testing tools (e.g., self-healing automation, test generation, predictive defect analytics).
  • Leverage machine learning and generative AI to improve:
  • Test case generation
  • Test data creation
  • Defect prediction and triaging
  • Root cause analysis
  • Drive adoption of intelligent test automation frameworks and autonomous testing strategies.

Collaboration & Stakeholder Management
  • Partner with Product Managers, Architects, and Engineering leaders to embed quality early in design.
  • Partner with Product Managers, Architects, Engineering leaders, and RTEs
  • Communicate status, risks, and improvements to leadership
  • Influence enterprise adoption of modern Engineering practices across multiple teams and programs.

Required Skills & Experience
  • Proficiency in programming languages such as Python, Java, or C++.
  • UI/End to End Test Automation with Playwright
  • Performance Load testing
  • Strong foundation in AI/ML algorithms, data structures, software & quality engineering principles.
  • Understanding of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions.
  • Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker for CI/CD).
  • Solid knowledge of data structures, algorithms, and software engineering principles.
  • Experience with agent orchestration, LLMOps, and model lifecycle management, vector search, information retrieval, graph algorithms and knowledge graph.
  • Experience with version control systems (e.g., Git).
  • Familiarity with agent orchestration platforms and enterprise integration.
  • Strong problem-solving skills and ability to work independently and collaboratively.

Preferred Skills & Experience
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning.
  • Knowledge of generative AI and foundation models (e.g., Gemini, Claude).
  • Experience with real-time inference systems and edge AI.
  • Background in mathematics, statistics, or computational neuroscience.
  • Understanding of LLM (Large Language Model) & LRM (Large Reasoning Model)
  • Understanding of AI ethics, bias mitigation, and explainable AI.

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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

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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