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Java Developer Gcp Jobs in Connecticut (NOW HIRING)

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 ...

The Hartford

Staff Software Engineer

Hartford, CT · Hybrid

Expertise in at least one modern programming language such as Java, Python, C#, or Go. * Strong ... GCP, Azure). * Experience with relational and NoSQL databases (e.g., SQL Server, Snowflake ...

Volto USA

Quantexa Technical Lead

Hartford, CT · On-site

Strong experience with Linux| Java/Scala ecosystem| Spark| Elasticsearch/OpenSearch| Kafka| SQL ... Big Data & Data Engineering Expertise in data ingestion, data modeling, Spark, Hadoop ecosystem ...

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 ...

Synchrony Financial

Reliability Engineer - OnePay

Stamford, CT · On-site

$60.75 - $80.75/hr

... DevOps certifications are nice to have. * Experience with cloud providers such as AWS, Azure, GCP ... Knowledge of an application or systems language such as Java, Golang, Rust, C++. * Familiar with ...

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Java Developer Gcp information

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 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

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

Amicis Global

Hartford, CT • On-site

$80 - $90/hr

Contractor

Re-posted 9 hours 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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