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

The Hartford

Automation Test Lead

Hartford, CT · Hybrid

Experience with programing language - Java, JavaScript /Typescript, Python * Experience with Test ... Knowledge of AWS and/or GCP cloud technology - Code Build, Code Pipeline, Containers Nice to Have:

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Java Developer Gcp information

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$15

$57

$78

How much do java developer gcp jobs pay per hour?

As of Aug 19, 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 roles and responsibilities of a Java developer GCP?

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 the key skills and qualifications needed to thrive as a Java developer GCP?

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 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 Manchester, CT?

For Java Developer Gcp jobs in Manchester, CT, the most frequently searched job titles are:

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The top searched job categories for Java Developer Gcp jobs in Manchester, CT are:

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Cities near Manchester, CT with the most Java Developer Gcp job openings:

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Cyber Forward Deployed Engineer - Senior Consultant

Deloitte

Hartford, CT • On-site

Full-time

Posted 9 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. 

Recruiting for this role ends on 12/31/2026. 

Work you will do: 

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability. 

Solution Delivery & Engineering (Primary Focus) 

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture 
  • Identify, troubleshoot, and resolve technical issues within scope 

Pre-Sales & Deal Shaping 

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes 
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility. 
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability. 

Customer Delivery Leadership 

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience. 
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback. 
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes. 
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements 

Product Feedback & Continuous Improvement 

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs. 
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks. 

The Team 

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • Limited immigration sponsorship may be available. 
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve. 

We require5+ years of experiencefor all areas below: 

  • Hands-on experience in full stack development across frontend and backend technologies. 
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js). 
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). 
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). 
  • Experience building and integrating REST APIs, microservices, and serverless architectures. 
  • Experience conducting code reviews and guiding teams on best practices. 
  • Experience delivering and scaling applications on AWS, Azure, or GCP. 
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps). 

We require1+ years of experiencefor all areas below: 

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems. 
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions. 

Client-Facing & Delivery Ownership 

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs. 
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals. 
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions. 
  • 5+ Years experience articulating technical concepts, risks, and trade-offs. 
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes. 

Preferred Qualifications 

  • Anthropic experience and/or certification STRONGLY preferred 
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering). 
  • Experience with DevSecOps practices and secure software development lifecycle. 
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j). 
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns. 
  • Cloud certifications (AWS, Azure, GCP). 
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch). 

Compensation 
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. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100. 

#CyberCtBEngg 

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. 

Recruiting for this role ends on 12/31/2026. 

Work you will do: 

As a Cyber Forward Deployed Engineer (FDE) Sr Consultant, you will drive delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability. 

Solution Delivery & Engineering (Primary Focus) 

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture 
  • Identify, troubleshoot, and resolve technical issues within scope 

Pre-Sales & Deal Shaping 

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes 
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility. 
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability. 

Customer Delivery Leadership 

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience. 
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback. 
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes. 
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements 

Product Feedback & Continuous Improvement 

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs. 
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks. 

The Team 

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • Limited immigration sponsorship may be available. 
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve. 

We require5+ years of experiencefor all areas below: 

  • Hands-on experience in full stack development across frontend and backend technologies. 
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js). 
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot). 
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). 
  • Experience building and integrating REST APIs, microservices, and serverless architectures. 
  • Experience conducting code reviews and guiding teams on best practices. 
  • Experience delivering and scaling applications on AWS, Azure, or GCP. 
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps). 

We require1+ years of experiencefor all areas below: 

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems. 
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions. 

Client-Facing & Delivery Ownership 

  • 5+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs. 
  • 5+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals. 
  • 5+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions. 
  • 5+ Years experience articulating technical concepts, risks, and trade-offs. 
  • 5+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes. 

Preferred Qualifications 

  • Anthropic experience and/or certification STRONGLY preferred 
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering). 
  • Experience with DevSecOps practices and secure software development lifecycle. 
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j). 
  • Knowledge of Kubernetes, GitOps, or advanced cloud-na...

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