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Remote Java Developer Jobs in Canton, MI (NOW HIRING)

Python, C++, C, CSharp, Java, Rust, or Go (or similar experience). Preferred Education and ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

The developer will help build new Midas capabilities, maintain and improve existing functionality ... This is a remote position. Responsibilities * Design, develop, test, and deploy full-stack features ...

The developer will help build new Midas capabilities, maintain and improve existing functionality ... This is a remote position. Responsibilities * Design, develop, test, and deploy full-stack features ...

Interest in learning new remote sensing technologies. Programming skills in C++, Java, Rust, CUDA, or Python. Excellent problem-solving and analytical skills. Ability to work within a team ...

New

Have worked remotely and with remote teams * Strong communication skills Bonus Points * Experience with C# programming and JAVA * Experience with GitHub and TeamCity This position is a great fit for ...

Senior Full Stack Developer

Detroit, MI · On-site +1

$70K - $140K/yr

Senior Full Stack Developer - In this senior role, the successful candidate will Design, Develop ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Senior Full Stack Developer

Detroit, MI · On-site +1

$70K - $140K/yr

Senior Full Stack Developer - In this senior role, the successful candidate will Design, Develop ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Dallas, TX ( REMOTE role) Company Overview: Blue Yonder is a global leader in digital supply chain ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * Experience

Showing results 41-60

Remote Java Developer information

See Canton, MI salary details

$14

$52

$71

How much do remote java developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote java developer in Canton, MI is $52.54, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $58.80 per hour, depending on experience, location, and employer.

What is a remote Java developer?

A Remote Java Developer is a software engineer who specializes in building, maintaining, and optimizing applications using the Java programming language, while working from a location outside of a traditional office environment. This role typically involves collaborating with team members online, writing code, debugging, and deploying Java-based applications. Remote Java Developers often use communication and project management tools to stay connected with their teams and manage their workloads efficiently. They may work for companies in various industries, including finance, healthcare, and technology, providing flexibility and access to global job opportunities.

What does a remote Java developer do?

As a remote Java developer, you work from home to develop, design, implement, and manage Java-based applications. Java is popular a programming language and a platform for applications. While working with Java, your duties include working on program architecture, performing software analysis, running a test and debugging, writing code, transforming requirements into stipulations, and maintaining the program throughout its lifecycle. Java developers often collaborate with other IT members and developers. You can perform your responsibilities as a full-time employee for a specific company or on a freelance basis.

What are the key skills and qualifications needed to thrive as a remote Java developer, and why are they important?

To excel as a Remote Java Developer, you need a solid understanding of Java programming, object-oriented design, and experience with frameworks like Spring or Hibernate, typically supported by a degree in computer science or related certifications. Familiarity with version control systems (such as Git), build tools (like Maven or Gradle), and cloud platforms is often required. Strong self-motivation, effective communication, and problem-solving skills are crucial for collaborating and managing tasks independently in a remote environment. These abilities ensure high-quality, maintainable code and seamless teamwork, even when distributed across locations.

How do remote Java developers typically collaborate with their teams on complex projects?

Remote Java Developers often rely on a combination of communication tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular stand-up meetings, code reviews, and pair programming sessions are common practices to ensure alignment and maintain code quality. Working remotely requires proactive communication and strong documentation skills to keep everyone informed and projects on track. Developers are usually part of agile teams and frequently interact with QA engineers, designers, and product managers to deliver features efficiently.

What is the difference between Remote Java Developer vs Remote Software Engineer?

AspectRemote Java DeveloperRemote Software Engineer
Required CredentialsBachelor's in CS or related, Java certificationsBachelor's in CS or related, multiple programming certifications
Work EnvironmentCollaborates mainly on Java-based projects, often in tech companiesWorks on diverse projects across various languages and platforms
Employer & Industry UsageTech firms, startups, enterprise companies using JavaTech, finance, healthcare, and other industries requiring software solutions
Search & Comparison IntentOften compared for Java-specific rolesBroader, includes Java but also other languages

Remote Java Developers focus primarily on Java programming within tech environments, while Remote Software Engineers work across multiple languages and platforms. Both roles require similar credentials but differ in scope and project diversity.

What are the most commonly searched types of Java Developer jobs in Canton, MI?

The most popular types of Java Developer jobs in Canton, MI are:

What are popular job titles related to Remote Java Developer jobs in Canton, MI?

For Remote Java Developer jobs in Canton, MI, the most frequently searched job titles are:

What job categories do people searching Remote Java Developer jobs in Canton, MI look for?

The top searched job categories for Remote Java Developer jobs in Canton, MI are:

What cities near Canton, MI are hiring for Remote Java Developer jobs?

Cities near Canton, MI with the most Remote Java Developer job openings:

Infographic showing various Remote Java Developer job openings in Canton, MI as of August 2026, with employment types broken down into 83% Full Time, 4% Part Time, 1% Temporary, and 12% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $109,293 per year, or $52.5 per hour.

Senior Software Engineer

Allen Park, MI • On-site, Remote

Ford Motor Company
Motor Vehicle Manufacturing • 10K+ employees

$113K - $192K/yr

Full-time

Medical, Dental, Life, PTO

Re-posted 4 days ago


Key responsibilities

  • Design, build, and deploy cloud applications on Google Cloud Platform (GCP).

  • Own and manage GCP infrastructure using Terraform, including remote state management and CI/CD workflows.

  • Utilize data expertise and software engineering skills to develop analytics solutions and incorporate Generative AI, LLMs, and autonomous agent workflows.


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 528 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That's where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and software engineering skills to drive evidence-based, timely decision-making.

Position Overview
Quality Analytics is a product group within GDIA that builds cutting-edge on-premises and cloud analytics solutions. We are modernizing our portfolio by embedding Generative AI, Large Language Models (LLMs), and autonomous agentic workflows to revolutionize how Ford manages industrial data.

This Full-Stack Software Engineer position is ideal for a technically oriented, forward-thinking individual who has experience designing, building, and deploying cloud applications, owning Google Cloud Platform (GCP) infrastructure with hands-on Terraform expertise, and who is eager to pioneer the use of Agentic AI and LLMs to solve complex industrial analytics challenges.

Minimum Requirements We Seek

  • Requires a bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related quantitative/technology field.
  • 4+ years of professional experience in Software Engineering.
  • 3+ years of experience with modern frontend frameworks (Angular, React, or Vue).
  • 3+ years of experience with backend frameworks (FastAPI, Flask, Django, or Spring Boot).
  • 2+ years of experience with Python (highly preferred for AI/Data) and/or Java.
  • 3+ years of hands-on experience with Google Cloud Platform (GCP)-compute, storage, networking, and IAM.
  • 2+ years of experience authoring and maintaining Infrastructure as Code (IaC) via Terraform modules, including remote state management and CI/CD-driven plan/apply workflows.

Preferred Qualifications

  • Master's degree in Computer Science, Computer Engineering, or a related quantitative field.
  • Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into production software applications.
  • AI & Agentic Frameworks: Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and multi-agent development platforms (e.g., CrewAI, AutoGen, Semantic Kernel).
  • Advanced GCP & DevOps: GCP Certification (e.g., Professional Cloud Architect or DevOps Engineer); hands-on experience with Cloud Build, Tekton, multi-environment Terraform deployment, and multi-cloud architectures (Azure/AWS a plus).
  • Software Craftsmanship: Deep understanding of software engineering disciplines including eXtreme Programming (XP), Clean Code principles, Test-Driven Development (TDD), and Pair/Mob programming.
  • Agile Mindset: Comfortable working with Agile tools (Jira, Rally) in a fast-paced, continuous-delivery environment.
  • Strong communication and collaboration skills, with a passion for bringing cutting-edge technology to business partners and customers.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary 

This position is a salary grade 8

This position is a salary grade 8 and ranges from $113,580-192,900.

*Visa Sponsorship is not provided for this role*

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 

#LI-Hybrid

#LI-GH2

Minimum Requirements We Seek

  • Requires a bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related quantitative/technology field.
  • 4+ years of professional experience in Software Engineering.
  • 3+ years of experience with modern frontend frameworks (Angular, React, or Vue).
  • 3+ years of experience with backend frameworks (FastAPI, Flask, Django, or Spring Boot).
  • 2+ years of experience with Python (highly preferred for AI/Data) and/or Java.
  • 3+ years of hands-on experience with Google Cloud Platform (GCP)-compute, storage, networking, and IAM.
  • 2+ years of experience authoring and maintaining Infrastructure as Code (IaC) via Terraform modules, including remote state management and CI/CD-driven plan/apply workflows.

Preferred Qualifications

  • Master's degree in Computer Science, Computer Engineering, or a related quantitative field.
  • Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into production software applications.
  • AI & Agentic Frameworks: Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and multi-agent development platforms (e.g., CrewAI, AutoGen, Semantic Kernel).
  • Advanced GCP & DevOps: GCP Certification (e.g., Professional Cloud Architect or DevOps Engineer); hands-on experience with Cloud Build, Tekton, multi-environment Terraform deployment, and multi-cloud architectures (Azure/AWS a plus).
  • Software Craftsmanship: Deep understanding of software engineering disciplines including eXtreme Programming (XP), Clean Code principles, Test-Driven Development (TDD), and Pair/Mob programming.
  • Agile Mindset: Comfortable working with Agile tools (Jira, Rally) in a fast-paced, continuous-delivery environment.
  • Strong communication and collaboration skills, with a passion for bringing cutting-edge technology to business partners and customers.

*Visa Sponsorship is not provided for this role*

What You'll Be Able To Do

As a Full-Stack Software Engineer on our Balanced Product Team, you will collaborate closely with Product Managers, Product Designers, and fellow engineers to own solutions end-to-end-from design and development to deployment, infrastructure management, and continuous optimization.

  • AI & Agentic Solution Development: Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent systems to automate complex data analysis, anomaly detection, and decision-support workflows.
  • Cloud Infrastructure & IaC Ownership: Design, build, and maintain Google Cloud Platform (GCP) infrastructure using Terraform-authoring reusable modules, managing environment promotion, and maintaining state management at portfolio scale.
  • AI-Assisted Software Engineering: Champion the use of generative AI tools and agentic coding assistants (e.g., GitHub Copilot, custom LLM agents) to streamline the software development lifecycle, automate testing, and accelerate CI/CD pipelines.
  • Product & Requirements Management: Collaborate with cross-functional teams to translate business goals into technical requirements, user stories, and automated test suites within an Agile framework.
  • Technical Design & Architecture: Author comprehensive technical design documents, system architecture diagrams, and API specifications to ensure scalable, secure, and maintainable full-stack systems.
  • Modern Operations & DevOps: Build robust CI/CD deployment pipelines on GCP, integrate automated security and quality scanning, and implement modern Identity & Access Management (IAM) and automated credential rotation using Terraform.
  • Reliability & Continuous Improvement: Drive proactive problem management, root cause analysis (RCA), and incident resolution to ensure high availability and performance of critical analytical systems.

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