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Amazon Web Developer Jobs in Michigan (NOW HIRING)

Staffactory

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

... Amazon Web Services (AWS) to support advanced analytics, machine learning, and real-time data ... Exposure to Agile / DevOps methodologies . * Knowledge of data governance and compliance standards

CACI International, Inc.

Software Engineer

Ypsilanti, MI · On-site

$86K - $181K/yr

Work closely with DevOps team to deploy new features and maintain system stability. * Write robust ... Amazon Web Services - EC2, SWF, S3, ECS, etc. * Frontend experience with any of the following ...

Peraton

$189K/yr

Be a developer on the front line of the research, development, design, and deployment of an ... Experience with platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform

New

Sun RV Resorts

Manager, IT Security

Southfield, MI

... of the organization's Amazon Web Services (AWS) cloud environment, Microsoft Purview data ... Collaborates with development operations and engineering teams to embed security into continuous ...

Sun, Inc.

Manager, IT Security

Southfield, MI

... of the organization's Amazon Web Services (AWS) cloud environment, Microsoft Purview data ... Collaborates with development operations and engineering teams to embed security into continuous ...

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How much do amazon web developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for amazon web developer in Michigan is $39.33, according to ZipRecruiter salary data. Most workers in this role earn between $30.19 and $47.55 per hour, depending on experience, location, and employer.

What does an Amazon Web Developer do?

An Amazon Web Developer designs, builds, and maintains web applications and services that power Amazon's online platforms. They work with various programming languages, frameworks, and Amazon Web Services (AWS) tools to create scalable, secure, and user-friendly solutions. Their responsibilities often include collaborating with cross-functional teams, optimizing website performance, and troubleshooting technical issues to ensure a seamless user experience. Amazon Web Developers may also implement new features, improve existing ones, and stay updated with the latest web technologies.

What are the key skills and qualifications needed to thrive as an Amazon Web Developer?

To thrive as an Amazon Web Developer, you need expertise in web development languages (such as JavaScript, HTML, CSS), a strong understanding of cloud computing, and a computer science degree or equivalent experience. Familiarity with Amazon Web Services (AWS), version control systems like Git, and frameworks such as React or Angular is typically required. Strong problem-solving skills, effective communication, and the ability to work collaboratively make candidates stand out. These skills and qualities are crucial for building scalable, secure, and user-friendly web applications in a dynamic, cloud-based environment.

How does an Amazon Web Developer typically collaborate with cross-functional teams during a project lifecycle?

As an Amazon Web Developer, you will regularly work with cross-functional teams, including product managers, UX/UI designers, and backend engineers, to deliver robust and scalable web applications. Collaboration usually involves participating in agile sprints, attending daily stand-ups, and contributing to code reviews to ensure all features meet technical and business requirements. Effective communication and a collaborative mindset are essential, as you'll often need to clarify requirements, share progress, and troubleshoot issues alongside your teammates. This collaborative environment not only enhances the final product but also provides valuable learning and growth opportunities within Amazon's dynamic tech culture.

What is the difference between Amazon Web Developer vs Amazon Cloud Engineer?

AspectAmazon Web DeveloperAmazon Cloud Engineer
Required CredentialsTypically AWS certifications, programming skillsAWS certifications, cloud architecture expertise
Work EnvironmentDeveloping and maintaining web applications on AWSDesigning and managing cloud infrastructure on AWS
Employer & Industry UsageTech companies, startups, e-commerceLarge enterprises, cloud service providers
Common Search & ComparisonYesYes

Amazon Web Developers focus on creating and maintaining web applications using AWS services, emphasizing coding and application deployment. Amazon Cloud Engineers, on the other hand, design, implement, and manage cloud infrastructure, ensuring scalable and secure cloud environments. While both roles require AWS certifications and cloud knowledge, their core responsibilities differ, with developers concentrating on application development and engineers on infrastructure management.

Is an Amazon Web Developer still in demand?

Amazon Web Developers are in high demand due to the growth of cloud computing and Amazon Web Services (AWS) adoption across industries. Skills in cloud architecture, scripting, and AWS certifications enhance job prospects, which remain strong as companies continue to migrate to cloud platforms.

What are popular job titles related to Amazon Web Developer jobs in Michigan?

For Amazon Web Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Amazon Web Developer jobs in Michigan look for?

The top searched job categories for Amazon Web Developer jobs in Michigan are:

Amazon Web Developer jobs near you
Infographic showing various Amazon Web Developer job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 75% Full Time, 13% Part Time, 3% Temporary, 7% Contract, and 1% Nights. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $81,797 per year, or $39.3 per hour.

Cyber Identity - FDE Engineering Manager

Deloitte

Detroit, MI

Full-time

Re-posted yesterday

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services

Job description

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Qualifications:

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Education:Bachelor's DegreeEmployment Type:

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