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Remote Amazon Automation Engineer Jobs in Houston, TX

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... architecture, backend engineering, and distributed systems design. · Expertise in Python ...

Qcells

SCADA Engineer - Level 2

Houston, TX · Remote

$105K - $125K/yr

Description Title: SCADA Engineer - Level 2 Department: Engineering Location: Houston, TX ... Work with SCADA, EMS, and HMI tools to optimize remote monitoring and plant automation. * Provide ...

Rockwell Automation

Project Manager

Houston, TX · On-site +1

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be ... engineering and project delivery organization and making use of collaboration tools and remote ...

Viking Recruiting Resources

SAP Basis Engineer

Houston, TX · Remote

$130K - $150K/yr

Our client is seeking a remote SAP Basis Engineer/Application Support Engineer. This is a full time ... Experience with configuration management and automation tools * Familiarity with agile engineering ...

Rockwell Automation, Inc.

Project Manager

Houston, TX · On-site +1

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be ... engineering and project delivery organization and making use of collaboration tools and remote ...

Rockwell Automation, Inc.

Project Manager

Houston, TX · On-site +1

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be ... engineering and project delivery organization and making use of collaboration tools and remote ...

Kimmel & Associates

Senior Energy Engineer

Houston, TX · On-site +1

$140K - $150K/yr

Their expertise spans HVAC system design, electrical upgrades, building automation systems ... Remote employees must report to the company's Middleburg Heights headquarters at least once per ...

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Showing results 21-40

All JobsAmazon Automation Engineer JobsRemote Amazon Automation Engineer JobsRemote Amazon Automation Engineer Jobs in Houston, TX

Remote Amazon Automation Engineer information

See Houston, TX salary details

$35.3K

$102.3K

$155.7K

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

As of Aug 8, 2026, the average yearly pay for remote amazon automation engineer in Houston, TX is $102,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $117,900.00 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 are the most commonly searched types of Amazon Automation Engineer jobs in Houston, TX? The most popular types of Amazon Automation Engineer jobs in Houston, TX are:
What are popular job titles related to Remote Amazon Automation Engineer jobs in Houston, TX? For Remote Amazon Automation Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Automation Engineer jobs in Houston, TX look for? The top searched job categories for Remote Amazon Automation Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Amazon Automation Engineer jobs? Cities near Houston, TX with the most Remote Amazon Automation Engineer job openings:
Remote Amazon Automation Engineer jobs near you
Infographic showing various Remote Amazon Automation Engineer job openings in Houston, TX 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 $102,303 per year, or $49.2 per hour.

Sr. Software Engineer - AI Platforms and Automation

IMO Health

Houston, TX • Remote

$140K - $200K/yr

Full-time

Posted 24 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.