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Fullstack Sr Java Developer Jobs in Grand Rapids, MI

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Fullstack Sr Java Developer information

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How much do fullstack sr java developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for fullstack sr java developer in Grand Rapids, MI is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $67.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Fullstack Sr Java Developer, and why are they important?

To thrive as a Fullstack Sr Java Developer, you need deep expertise in Java, front-end frameworks (like React or Angular), and experience with databases, paired with a relevant computer science degree or equivalent experience. Familiarity with tools such as Spring Boot, RESTful APIs, version control systems (like Git), and cloud platforms is typically required, along with certifications like Oracle Certified Professional Java Programmer (OCPJP) being advantageous. Strong problem-solving, communication, and leadership skills help you collaborate effectively and drive complex projects to completion. These skills and qualities are crucial for building scalable, maintainable applications and ensuring seamless integration across the tech stack.

What are some common challenges Fullstack Sr Java Developers face when working on cross-functional teams?

Fullstack Sr Java Developers often collaborate with both front-end and back-end developers, QA engineers, and product managers. A common challenge is ensuring seamless integration between diverse technologies and frameworks used across the stack. Balancing priorities between rapid feature development and maintaining code quality or technical debt can also be demanding. Effective communication and a strong understanding of both client-side and server-side requirements are essential for overcoming these obstacles and delivering robust, scalable solutions.

What are Fullstack Sr Java Developers?

Fullstack Sr Java Developers are experienced software engineers who specialize in building both the front-end (client-side) and back-end (server-side) of web applications using Java and related technologies. They possess advanced skills in Java frameworks like Spring Boot for backend development, as well as expertise in frontend technologies such as JavaScript, HTML, and CSS. These professionals are responsible for designing, developing, testing, and maintaining comprehensive web solutions that are scalable and efficient. Fullstack Sr Java Developers often lead development teams, contribute to architectural decisions, and ensure best practices are followed throughout the software development lifecycle.

What is the difference between Fullstack Sr Java Developer vs Backend Java Developer?

AspectFullstack Sr Java DeveloperBackend Java Developer
Required SkillsJava, JavaScript, HTML, CSS, frameworks like Spring and AngularJava, Spring, Hibernate, database management
Work EnvironmentDevelops both client-side and server-side applicationsFocuses on server-side, APIs, and database integration
Industry UsageUsed in startups, tech companies, and full-service development teamsCommon in enterprise, financial, and backend-focused roles

The main difference between a Fullstack Sr Java Developer and a Backend Java Developer lies in their scope of work. Fullstack developers handle both front-end and back-end development, requiring skills in Java and front-end technologies. Backend Java Developers focus solely on server-side logic, databases, and APIs. Your choice depends on whether you prefer working across the entire application stack or specializing in backend systems.

What are popular job titles related to Fullstack Sr Java Developer jobs in Grand Rapids, MI? For Fullstack Sr Java Developer jobs in Grand Rapids, MI, the most frequently searched job titles are:
What job categories do people searching Fullstack Sr Java Developer jobs in Grand Rapids, MI look for? The top searched job categories for Fullstack Sr Java Developer jobs in Grand Rapids, MI are:
What cities near Grand Rapids, MI are hiring for Fullstack Sr Java Developer jobs? Cities near Grand Rapids, MI with the most Fullstack Sr Java Developer job openings:
Infographic showing various Fullstack Sr Java Developer job openings in Grand Rapids, MI as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,509 per year, or $60.3 per hour.
AI Forward Deployed Engineer (FDE)

AI Forward Deployed Engineer (FDE)

Deloitte

Grand Rapids, MI

Other

Posted 27 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Position summary

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 5/31/2026.

Work you will do:

As a Cyber Forward Deployed Engineer (FDE) Manager, you will lead 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.

1. 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

2. 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.

3. 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

4. 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.

Core Engineering & Architecture

         8-12+ years of hands-on experience in full stack development across frontend and backend technologies.

         Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).

         Backend expertise 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.

         Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

AI / GenAI Capabilities

         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 SDK

         Experience guiding teams on AI architecture, platform selection and integration into production systems.

         Understanding of scalability, governance, and performance considerations for AI-enabled solutions.

Client-Facing & Delivery Ownership

         Experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.

         Ability to define scope, estimate effort, and align solutions with delivery feasibility and business goals.

         Experience working with senior client stakeholders to translate requirements into scalable technical solutions.

         Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.

         Strong accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications:

  • 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 $130,800 - 241,000.

#CDRCyber26

Qualifications:

Position summary

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 5/31/2026.

Work you will do:

As a Cyber Forward Deployed Engineer (FDE) Manager, you will lead 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.

1. 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

2. 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.

3. 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

4. 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.

Core Engineering & Architecture

         8-12+ years of hands-on experience in full stack development across frontend and backend technologies.

         Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).

         Backend expertise 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.

         Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

AI / GenAI Capabilities

         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 SDK

         Experience guiding teams on AI architecture, platform selection and integration into production systems.

         Understanding of scalability, governance, and performance considerations for AI-enabled solutions.

Client-Facing & Delivery Ownership

         Experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.

         Ability to define scope, estimate effort, and align solutions with delivery feasibility and business goals.

         Experience working with senior client stakeholders to translate requirements into scalable technical solutions.

         Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.

         Strong accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications:

  • 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 $130,800 - 241,000.

#CDRCyber26

Education:Bachelor's DegreeEmployment Type:

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