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Amazon Software Developer Jobs in Wisconsin (NOW HIRING)

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

... software, engaging confidently with senior stakeholders and engineers to bring measurable business ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

In the Pocket

WI · On-site

$90 - $120/hr

From global cloud-based platforms and large-scale apps to medical devices, banking software and ... Familiarity with at least one cloud platform (Azure, Google Cloud Platform, or Amazon Web Services)

Soteria Reinsurance Ltd.

WI · On-site

$120 - $150/hr

Performs software project management duties using Agile methodologies -- KANBAN and SCRUM. Works ... Performs application development, deployment, and infrastructure maintenance, using Amazon Web ...

Collabera

Build & Release Engineer

Milwaukee, WI

Build & Release Engineer Duration: 12+ Months (can go beyond) Job Duties: Description: * Join a ... software as a service (SaaS), micro-service, docker, Pivotal Cloud Foundry, Amazon AWS, MS Azure

Collabera

Build & Release Engineer

Milwaukee, WI · On-site

Build & Release Engineer Duration: 12+ Months (can go beyond) Job Duties: Description: * Join a ... of software as a service (SaaS), micro-service, docker, Pivotal Cloud Foundry, Amazon AWS ...

Deloitte

Oracle Tech Cloud Manager

Milwaukee, WI · On-site

Bachelor's degree or higher in computer science, information technology, software engineering ... OCI), Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * 2+ years of ...

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Showing results 41-60

All JobsAmazon Software Developer JobsAmazon Software Developer Jobs in Wisconsin

Amazon Software Developer information

See Wisconsin salary details

$48.4K

$112.9K

$167.6K

How much do amazon software developer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for amazon software developer in Wisconsin is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $131,200.00 per year, depending on experience, location, and employer.

What is the difference between Amazon Software Developer vs Amazon Software Engineer?

AspectAmazon Software DeveloperAmazon Software Engineer
Required CredentialsBachelor's degree in Computer Science or related field; coding skillsBachelor's or higher in Computer Science; coding and problem-solving skills
Work EnvironmentCollaborative teams developing software solutionsDesigning, coding, testing, and maintaining software systems
Employer & Industry UsageCommonly used in Amazon's tech teams for product developmentUsed interchangeably with Software Developer in Amazon, often for similar roles

Both roles involve software development at Amazon, requiring similar skills and education. The term 'Software Engineer' may imply a broader scope or seniority, but in many cases, they are used interchangeably for entry to mid-level positions. Understanding the specific job description is key to distinguishing them.

What are the key skills and qualifications needed to thrive as an Amazon software developer, and why are they important?

To thrive as an Amazon Software Developer, you need strong programming skills in languages like Java, C++, or Python, a solid understanding of computer science fundamentals, and typically a degree in computer science or a related field. Familiarity with AWS services, distributed systems, and version control tools such as Git is highly valued, and AWS certifications can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help set candidates apart. These skills ensure the delivery of scalable, reliable solutions and foster innovation in Amazon’s fast-paced, customer-focused environment.

What does an Amazon software developer do?

An Amazon Software Developer is responsible for designing, coding, testing, and maintaining software applications that power Amazon’s vast range of services and products. They collaborate with cross-functional teams to solve complex technical problems, improve system performance, and deliver scalable solutions. Their work may include developing backend systems, cloud services, or customer-facing features, all while adhering to Amazon’s high standards for security and reliability.

What are some typical projects or tasks an Amazon software developer might work on?

As an Amazon Software Developer, you may work on a wide range of projects, from designing scalable backend services to developing customer-facing applications. You'll often collaborate with cross-functional teams, including product managers and UX designers, to deliver high-impact features. The work environment is fast-paced and encourages innovation, with regular code reviews and opportunities to learn from experienced engineers. Common challenges include building solutions that perform at Amazon's global scale while maintaining high reliability and security standards.
Amazon Software Developer jobs near you
Infographic showing various Amazon Software Developer job openings in Wisconsin as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,891 per year, or $54.3 per hour.

Lead Forward Deployed Engineer - AWS

Deloitte

Milwaukee, WI • On-site

$101K - $133K/yr

Full-time

Re-posted 20 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

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 $189,200 to $372,900.

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.

Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

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 $189,200 to $372,900.

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.

Education:Bachelor's DegreeEmployment Type:

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