Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot). Experience with ... Experience working with senior client stakeholders to translate requirements into scalable ...
Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot). Experience with ... Experience working with senior client stakeholders to translate requirements into scalable ...
Mentor Senior Engineers, Project Teams and Test Teams on best practices for working with complex ... Python, or Java) to support scripting for test and deployment tools. * Domain Knowledge:Deep ...
Mentor Senior Engineers, Project Teams and Test Teams on best practices for working with complex ... Python, or Java) to support scripting for test and deployment tools. * Domain Knowledge:Deep ...
Expert Controls Software Engineer - Integration & Mechatronics
Grand Rapids, MI · On-site
$43.50 - $55.50/hr
Mentor Senior Engineers, Project Teams and Test Teams on best practices for working with complex ... Python, or Java) to support scripting for test and deployment tools. * Domain Knowledge: Deep ...
Expert Controls Software Engineer - Integration & Mechatronics
Grand Rapids, MI · On-site
$43.50 - $55.50/hr
Mentor Senior Engineers, Project Teams and Test Teams on best practices for working with complex ... Python, or Java) to support scripting for test and deployment tools. * Domain Knowledge: Deep ...
Mentor Senior Engineers, Project Teams and Test Teams on best practices for working with complex ... Python, or Java) to support scripting for test and deployment tools. * Domain Knowledge:Deep ...
Mentor Senior Engineers, Project Teams and Test Teams on best practices for working with complex ... Python, or Java) to support scripting for test and deployment tools. * Domain Knowledge:Deep ...
Fullstack Sr Java Developer information
See Grand Rapids, MI salary details
$10.62 - $17.19
0% of jobs
$17.19 - $23.76
0% of jobs
$23.76 - $30.33
0% of jobs
$30.33 - $36.90
1% of jobs
$36.90 - $43.47
5% of jobs
$43.47 - $50.04
11% of jobs
$52.46 is the 25th percentile. Wages below this are outliers.
$50.04 - $56.60
22% of jobs
The median wage is $59.36 / hr.
$56.60 - $63.17
26% of jobs
$66.21 is the 75th percentile. Wages above this are outliers.
$63.17 - $69.74
21% of jobs
$69.74 - $76.31
9% of jobs
$76.31 - $82.88
4% of jobs
$10
$60
$82
How much do fullstack sr java developer jobs pay per hour?
What are the key skills and qualifications needed to thrive as a Fullstack Sr Java Developer, and why are they important?
What are some common challenges Fullstack Sr Java Developers face when working on cross-functional teams?
What are Fullstack Sr Java Developers?
What is the difference between Fullstack Sr Java Developer vs Backend Java Developer?
| Aspect | Fullstack Sr Java Developer | Backend Java Developer |
|---|---|---|
| Required Skills | Java, JavaScript, HTML, CSS, frameworks like Spring and Angular | Java, Spring, Hibernate, database management |
| Work Environment | Develops both client-side and server-side applications | Focuses on server-side, APIs, and database integration |
| Industry Usage | Used in startups, tech companies, and full-service development teams | Common 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.

Deloitte rating
8.1
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
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