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Amazon Software Engineer Jobs in Naperville, IL (NOW HIRING)

Delviom LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

CI/CD (AWS CodePipeline/CodeBuild/CodeDeploy), Terraform (IaC), Docker, Amazon CloudWatch, Secrets ... Strong hands-on coding experience in Python, PySpark, and SparkSQL, with solid software engineering ...

Ness Digital Engineering

Sr. Streaming Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

Thoroughly analyzes requirements, develops, tests, and documents software quality to ensure proper ... Amazon Kinesis, etc. Kafka * [Required] Experience with cloud technologies and migrations.

Ness Digital Engineering

Sr. Streaming Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

... Amazon Kinesis, etc. Kafka • [Required] Experience with cloud technologies and migrations ... Associate Principal, Software Engineering: Java 06:08 PM 02/25/2026 Page 2 of 2 Technical Skills ...

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Showing results 21-40

All JobsAmazon Software Engineer JobsAmazon Software Engineer Jobs in Naperville, IL

Amazon Software Engineer information

See Naperville, IL salary details

$63.4K

$147.3K

$205.2K

How much do amazon software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for amazon software engineer in Naperville, IL is $147,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,800.00 and $172,700.00 per year, depending on experience, location, and employer.

What is an Amazon software engineer?

An Amazon Software Engineer is responsible for designing, developing, and maintaining software systems that support Amazon's vast technical infrastructure. They work on scalable and distributed systems, using languages like Java, Python, or C++. Engineers collaborate with cross-functional teams to build customer-focused solutions, optimize performance, and ensure system reliability. Additionally, they follow Amazon's leadership principles and contribute to innovation in areas like AWS, Alexa, and e-commerce. This role requires strong problem-solving skills, coding expertise, and the ability to handle complex technical challenges at scale.

What are the key skills and qualifications needed to thrive as an Amazon software engineer?

To thrive as an Amazon Software Engineer, you need a strong background in computer science, coding proficiency in languages like Java, C++, or Python, and a relevant bachelor’s degree or higher. Familiarity with AWS cloud services, distributed systems, and software development tools such as Git and CI/CD pipelines is highly valued. Strong problem-solving skills, effective communication, and collaboration are crucial soft skills in this fast-paced environment. These abilities enable engineers to deliver scalable, reliable solutions while working efficiently within large, cross-functional teams.

What are the typical career growth opportunities for an Amazon software engineer?

Amazon offers software engineers a well-defined career path, starting from entry-level roles and advancing to senior engineer, principal engineer, or engineering manager positions. Engineers are encouraged to take on greater responsibilities, lead technical projects, and mentor junior staff as they develop. The company supports professional growth through internal training, skill development programs, and opportunities to work on high-impact, global-scale products. With consistent performance and a proactive approach to learning, you can expect clear advancement opportunities and increased leadership responsibilities at Amazon.

How much are Amazon software engineers paid?

Amazon software engineers typically earn a base salary ranging from $100,000 to $160,000 annually, with total compensation often including bonuses and stock options that can significantly increase overall earnings. Compensation varies based on experience, location, and level within the company, with senior roles earning higher salaries and additional benefits such as performance bonuses and stock grants.

What are the most commonly searched types of Amazon Software Engineer jobs in Naperville, IL?

The most popular types of Amazon Software Engineer jobs in Naperville, IL are:

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For Amazon Software Engineer jobs in Naperville, IL, the most frequently searched job titles are:

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The top searched job categories for Amazon Software Engineer jobs in Naperville, IL are:

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Cities near Naperville, IL with the most Amazon Software Engineer job openings:

Amazon Software Engineer jobs near you
Infographic showing various Amazon Software Engineer job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $147,304 per year, or $70.8 per hour.

Sr. Software Engineer - AI Platforms & Automation

IMO Health

Chicago, IL • Remote

$140K - $200K/yr

Full-time

Posted 15 days ago

Job description

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes. 

We are looking for a Senior Software Engineer to own and evolve the internal software platforms that support IMO Health's terminology and knowledge graph initiatives. This role will maintain and enhance production applications, APIs, integrations, and AI-enabled workflows while helping introduce new AI capabilities into existing business processes as the platform continues to evolve. 

The ideal candidate is a software engineer first—someone who enjoys owning and evolving production software while applying AI technologies to solve real business problems. As the platform continues to evolve, you'll help introduce new AI-enabled capabilities into existing business workflows while ensuring the underlying systems remain reliable, scalable, and production-ready. 

WHAT YOU’LL DO:

Own and enhance internal platforms 

  • Maintain and enhance internally developed applications and tooling that supports terminology management, content creation, mapping, workflow automation, and content delivery.  

  • Build and maintain integrations across internal applications, APIs, knowledge bases, databases, and AI services.  

  • Contribute to the design and implementation of new automation and AI-enabled capabilities as business needs evolve.  

Support reliable production systems 

  • Own operational support for AI-enabled applications and workflows in production, including troubleshooting, incident response, release coordination, and ongoing maintenance.  

  • Manage application deployments, infrastructure configuration, monitoring, alerting, and operational support for AWS-hosted applications and services.  

  • Investigate production issues, perform root-cause analysis, and implement durable solutions that improve reliability.  

Enable AI-powered workflows 

  • Support AI agents and workflow automation capabilities as they mature from pilot initiatives into scalable production solutions.  

  • Develop and troubleshoot cloud-based workflows using AWS services such as Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and MWAA/Airflow.  

  • Implement testing, monitoring, and operational readiness practices that improve the quality and reliability of AI-enabled workflows.  

Collaborate across teams 

  • Partner with clinical, terminology, product, data science, and engineering teams to improve AI-enabled workflows while maintaining appropriate human review and auditability.  

  • Mentor team members and promote software engineering best practices for secure, maintainable, and production-ready systems. 

WHAT YOU’LL NEED:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field; equivalent professional experience will also be considered. 

  • 7+ years of professional experience in software engineering, backend engineering, platform engineering, DevOps, MLOps, cloud engineering, or a related discipline, including experience supporting production systems. 

  • Strong proficiency in Python and experience building maintainable services, APIs, internal tools, jobs, or workflow automation in production environments. 

  • Experience designing, deploying, and supporting cloud-based applications in AWS environments.

  • Experience building or supporting AI-enabled applications using Amazon Bedrock, LLM APIs, knowledge bases, AI agents, retrieval-augmented generation (RAG), or similar technologies. 

  • Experience with CI/CD pipelines, Git-based development workflows, automated testing, configuration management, and release practices. 

  • Experience with Docker, Kubernetes or other containerized services, Terraform or Infrastructure-as-Code, and production monitoring/alerting tools. 

  • Experience with workflow orchestration, data pipelines, or job scheduling tools such as Airflow/MWAA, Glue, Lambda, cron-based jobs, or equivalent technologies. 

  • Working knowledge of SQL and relational databases such as PostgreSQL; experience with distributed data or search systems is a plus. 

  • Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies. 

  • Strong troubleshooting skills, including production issue triage, root-cause analysis, log analysis, and implementation of durable solutions. 

  • Ability to partner effectively with domain experts and translate workflow needs into practical, maintainable technical solutions. 

  • Strong communication, documentation, and collaboration skills in cross-functional environments.

PREFERRED QUALIFICATIONS:

  • Experience scaling AI-enabled applications or agent-based workflows from prototype or pilot phases into reliable production systems. 

  • Experience with modern AI development practices including prompt engineering, tool/function calling, AI evaluation techniques, and AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor. 

  • Experience with AI application frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.  

  • Experience designing or supporting AI evaluation frameworks, quality monitoring practices, or human-in-the-loop workflows for AI-assisted outputs. 

  • Experience in healthcare technology, clinical data, clinical terminology, content curation, or other regulated data environments. 

  • Familiarity with knowledge graph technologies and semantic standards such as RDF, OWL, SPARQL, SHACL, FHIR, SNOMED CT, LOINC, RxNorm, ICD-10, CPT, or related healthcare standards. 

  • Experience working with vector databases, embeddings, search technologies, or other retrieval-based AI architectures. 

  • AWS certifications such as AWS Certified Solutions Architect, AWS Certified Machine Learning – Specialty, or AWS Certified Generative AI Developer – Professional. 

Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.

IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.