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Remote Amazon Automation Engineer Jobs in Draper, UT

This position is remote eligible for candidates who currently reside in Utah. What You'll Do ... Data Engineering for QA: Craft complex SQL scripts and data generation utilities to simulate ...

Build and maintain infrastructure automation using Chef, including the creation and support of ... Manage object storage platforms such as Scality and Amazon S3-compatible environments, including ...

Remote Operations Engineer

Sandy, UT · On-site +1

$66K - $89K/yr

United States - UT - Sandy Remote Operations Engineer Full-Time, Permanent Sandy, UT (In-person ... A strong background in electrical systems, PLC programming, instrumentation, automation, and HMI ...

QA Engineer

Sandy, UT · On-site +1

Hybrid / Remote / Flexible Reports To: QA Manager Job Type: Full-Time The QA Engineer works closely ... In this role, you will also have the opportunity to design and implement a test automation ...

Cyber Operations Engineer III

Sandy, UT · On-site +1

$91K - $120K/yr

We are seeking a Security Engineer with expertise in security automation, integration, and ... Remote Work: Enjoy the flexibility of working from home while optimizing your work-life balance.

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Remote Amazon Automation Engineer information

See Draper, UT salary details

$34.6K

$100.1K

$152.4K

How much do remote amazon automation engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote amazon automation engineer in Draper, UT is $100,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $115,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Amazon Automation Engineer vs Remote Amazon Web Services (AWS) Cloud Engineer?

AspectRemote Amazon Automation EngineerRemote Amazon Web Services (AWS) Cloud Engineer
CertificationsAmazon Scripting & Automation tools, AWS certificationsAWS certifications, cloud architecture
Work EnvironmentAutomation tasks, scripting, process optimizationCloud infrastructure, deployment, and management
Employer & Industry UsageE-commerce, retail, logistics companies using Amazon platformsTech companies, startups, enterprises utilizing AWS cloud services
Search & Comparison IntentFocus on automation of Amazon-specific processesFocus on cloud infrastructure and services on AWS

The Remote Amazon Automation Engineer primarily focuses on automating Amazon platform processes using scripting and automation tools, often within e-commerce or logistics sectors. In contrast, the Remote AWS Cloud Engineer specializes in managing and deploying cloud infrastructure on AWS. Both roles require AWS certifications but differ in daily tasks and industry focus.

What are the key skills and qualifications needed to thrive as a Remote Amazon Automation Engineer?

To thrive as a Remote Amazon Automation Engineer, you need a strong background in software engineering, scripting languages (such as Python or Java), and experience with automation frameworks, preferably with a degree in computer science or related field. Familiarity with Amazon Web Services (AWS), tools like Selenium, Jenkins, and CI/CD pipelines, as well as relevant certifications such as AWS Certified DevOps Engineer, is highly valued. Excellent problem-solving abilities, clear communication, and the ability to work independently are crucial soft skills for remote collaboration and troubleshooting. These competencies ensure efficient automation of workflows, minimize errors, and enable seamless integration and deployment in a fast-paced cloud environment.

How does a Remote Amazon Automation Engineer typically collaborate with cross-functional teams to optimize e-commerce operations?

As a Remote Amazon Automation Engineer, you'll regularly coordinate with teams such as operations, product management, and customer support to streamline and automate various Amazon processes. This often involves virtual meetings, shared project management tools, and clear documentation to ensure alignment across different time zones. Effective communication and proactive status updates are key, as you'll need to translate technical automation solutions into actionable steps for non-technical stakeholders. Collaboration also extends to troubleshooting issues, optimizing workflows based on feedback, and ensuring automation aligns with Amazon's compliance and best practices.

What is a Remote Amazon Automation Engineer?

A Remote Amazon Automation Engineer is a professional who designs, develops, and maintains automated systems and processes specifically for Amazon's platforms, such as Amazon Web Services (AWS) or Amazon's e-commerce infrastructure. They work remotely to ensure that repetitive tasks, data integrations, and various workflows run smoothly and efficiently, often using tools like AWS Lambda, CloudFormation, and APIs. Their work helps organizations scale their operations, reduce errors, and optimize their use of Amazon technologies. This role requires strong programming skills, experience with cloud computing, and a solid understanding of Amazon’s services and automation best practices.
What job categories do people searching Remote Amazon Automation Engineer jobs in Draper, UT look for? The top searched job categories for Remote Amazon Automation Engineer jobs in Draper, UT are:
What cities near Draper, UT are hiring for Remote Amazon Automation Engineer jobs? Cities near Draper, UT with the most Remote Amazon Automation Engineer job openings:
Infographic showing various Remote Amazon Automation Engineer job openings in Draper, UT as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $100,147 per year, or $48.1 per hour.

Senior Java Developer (Business Automation & AI)

The AES Group

Taylorsville, UT • Remote

$58.50 - $74.75/hr

Contractor

Re-posted 5 days ago


Job description

Job Title: Senior Java Developer (Business Automation & AI)
Location: Remote, USA

Let’s create our future together at The AES Group!

About The AES Group

The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.

We’re hiring a Senior Java Developer (3–5 years) to help modernize business automation and self-service support platforms. You’ll maintain and migrate complex decision logic using Drools and Kogito, and support the build-out of AI chatbot infrastructure. This role also focuses on converting legacy documentation into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) patterns.
 

What you’ll do

  • Design, develop, and maintain decision services using Drools (DRL); migrate legacy workflows to cloud-native Kogito microservices.
  • Build and manage AWS Bedrock Knowledge Bases to enable accurate, context-aware AI responses.
  • Create automated pipelines to extract, clean, and convert legacy documentation into optimized formats (Markdown/vector-ready), stored in Amazon S3.
  • Develop secure, high-performance REST APIs using Quarkus or Spring Boot to integrate chatbot capabilities into Java applications.
  • Deploy and scale business automation services in Kubernetes/OpenShift environments.
  • Collaborate with engineering and product stakeholders to improve decision accuracy, performance, and maintainability.

Required skills & experience

  • 3–5 years of professional Java experience (8/11/17+) with Spring Boot or Quarkus.
  • Hands-on experience writing/debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Proven experience with Kogito for cloud-native business processes.
  • Experience with AWS Bedrock (Knowledge Bases, Agents, and/or prompt engineering).
  • Strong working knowledge of Amazon S3 for document storage and metadata tagging.
  • Experience converting legacy HTML/XML documentation into structured formats (Markdown/JSON) for AI usage.
  • Experience with Git, CI/CD pipelines, Docker, and Kubernetes.

Nice to have

  • Experience with vector databases (Amazon OpenSearch, Pinecone, Milvus).
  • Python exposure for document parsing/automation.
  • Knowledge of BPMN 2.0 standards.
  • AWS certifications (Developer Associate and/or Machine Learning Specialty).

Ready to make an impact? Apply now and join us on our journey!