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Java Developer Gcp Jobs in Wisconsin (NOW HIRING)

Software Engineering Manager

Windsor, WI · Hybrid

$135K - $160K/yr

... Java) * Authorized to work in the U.S. without sponsorship Preferred Qualifications: * Master ... CI, Azure DevOps, Jenkins * Infrastructure as Code and cloud platforms (AWS, Azure, GCP)

Software Engineering Manager

Windsor, WI · Hybrid

$135K - $160K/yr

... Java) * Authorized to work in the U.S. without sponsorship Preferred Qualifications: * Master ... CI, Azure DevOps, Jenkins * Infrastructure as Code and cloud platforms (AWS, Azure, GCP)

Software Engineering Manager

Windsor, WI · On-site +1

$135K - $160K/yr

... Java) * Authorized to work in the U.S. without sponsorship Preferred Qualifications: * Master ... CI, Azure DevOps, Jenkins * Infrastructure as Code and cloud platforms (AWS, Azure, GCP)

Data Engineer II

Green Bay, WI · On-site

$111.40K - $133.80K/yr

... Python, Java, or Scala for data processing • Solid understanding of SQL and analytical data ... or GCP) and their data services • Experience with stream-processing systems preferred • ...

Data Architecture - Sr Advisor II

Milwaukee, WI · On-site

$66.25 - $88.75/hr

Work with application developers to mentor and produce high quality engineering output across ... Conducting POC/POT using Java, Spark, Spring Boot, Docker, Kubernetes, NoSQL, Kafka, RDBMS, GIT ...

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Showing results 1-20

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 Wisconsin? For Java Developer Gcp jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Java Developer Gcp jobs? Cities in Wisconsin with the most Java Developer Gcp job openings:
Senior Software Engineer - Generative AI

Senior Software Engineer - Generative AI

Acuity Insurance

Sheboygan, WI • On-site

$124K - $163.50K/yr

Full-time

Posted 24 days ago


Job description

Job Summary:
Acuity Insurance is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. The role involves delivering secure, scalable AI solutions, collaborating with various stakeholders, troubleshooting production issues, and mentoring team members in best practices.
Responsibilities:
• Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
• Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
• Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
• Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
• Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
• Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
• Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
• Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
• Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
• Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
• Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
• Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
• Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
• Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
• Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
• Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
• Perform other duties as assigned.
Qualifications:
Required:
• Bachelor’s degree or equivalent combination of education and experience in software engineering, computer science, or related field.
• 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.
• Expertise across a wide range of tools and technologies, including programming languages such as Java, Python, and JavaScript.
• Experience with relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
• Familiarity with web UI frameworks such as Vue, React, or Angular.
• Knowledge of software development workflows, CI/CD pipelines and version control tools.
• Experience with AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
• Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
• Familiarity with AI Observability tools to monitor and debug AI responses.
• Understanding API Management, including rate limiting, latency, and token cost optimization.
• Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
• Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
• Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
• Strong communication skills and ability to work with cross functional teams.
• Excellence in documentation, testing practices, and operational reliability.
• Ability to stay current with AI advancements, LLM research, and evolving best practices.
• Passion for building reliable, safe, and impactful Generative AI systems.
Company:
Acuity Insurance is a leading provider of insurance solutions, delivering exceptional coverage and customer service to individuals and businesses in over 30 states. Founded in 1925, the company is headquartered in Sheboygan, Wisconsin, US, , with a team of 1001-5000 employees. The company is currently Late Stage.