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Remote Aws Cloud Engineer Jobs in Spring, TX (NOW HIRING)

Deloitte

AWS Channel Sales Senior Manager

Houston, TX · On-site +1

Greater Washington DC Area (or remote) Deloitte is seeking a dynamic and experienced GPS AWS ... AWS Certified Cloud Practitioner (CCP)] desired * Experience in the Federal and State & Local ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

  • Medical

  • Retirement

  • PTO

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... Familiarity with cloud infrastructure (AWS preferred) and standard software delivery practices ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

  • Medical

  • Retirement

  • PTO

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... Familiarity with cloud infrastructure (AWS preferred) and standard software delivery practices ...

IQVIA

Sr Software Development Engineer

Houston, TX · On-site +1

$117K - $154K/yr

  • Medical

  • Life

... remote) U.S. residents only; work must be performed within the United States. Experience ... NET, Java, or both * Strong experience with cloud platforms (AWS preferred; Azure acceptable)

Launch Legends

Senior DevOps Engineer (Web3)

Houston, TX · On-site +1

$124K - $159K/yr

... the company's cloud infrastructure on AWS, GCP, and Cloudflare. Architect and optimize cloud ... s Engineer (8+ years experience), with additional in blockchain projects. * Strong knowledge of ...

IQVIA

Sr Software Development Engineer

Houston, TX · On-site +1

$117K - $154K/yr

  • Medical

  • Life

... remote) U.S. residents only; work must be performed within the United States. Experience ... NET, Java, or both * Strong experience with cloud platforms (AWS preferred; Azure acceptable)

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Strong Azure cloud experience. * Python/PySpark, Java programming. * Experience building UI with ...

DealerBuilt

Lead Software Engineer

Houston, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... deploying to AWS and maintaining performance in a cloud environment. • Proven ability to work ... Remote: Enjoy the flexibility of working remotely while delivering exceptional results for our ...

Binary Defense

Detection Engineer - REMOTE

Houston, TX · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

Our team operates detection engineering as code, and we are looking for someone who thrives in a ... Collaborate with Threat Intel, Incident Response, and Cloud Security teams to create threat ...

Binary Defense

Detection Engineer - REMOTE

Houston, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... and cloud environments. Our team operates detection engineering as code, and we are looking for ... remote friendly work environment, as well as training opportunities to expand your skill set (to ...

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All JobsAws Cloud Engineer JobsRemote Aws Cloud Engineer JobsRemote Aws Cloud Engineer Jobs in Spring, TX

Remote Aws Cloud Engineer information

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How much do remote aws cloud engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote aws cloud engineer in Spring, TX is $55.96, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $63.75 per hour, depending on experience, location, and employer.

What is a remote AWS Cloud Engineer?

A Remote AWS Cloud Engineer is responsible for designing, deploying, and managing cloud infrastructure on Amazon Web Services (AWS) while working from a remote location. They ensure scalability, security, and performance of cloud environments by implementing best practices, automation, and monitoring solutions. Their role often involves collaborating with development teams, optimizing cloud costs, and troubleshooting issues. Strong expertise in AWS services like EC2, S3, Lambda, and IAM, as well as proficiency in infrastructure-as-code tools like Terraform or CloudFormation, is typically required.

What are the key skills and qualifications needed to thrive as a remote AWS Cloud Engineer?

To thrive as a Remote AWS Cloud Engineer, you need expertise in cloud architecture, AWS services, infrastructure-as-code, and automation, often supported by a degree in computer science or a related field. Familiarity with tools like AWS CloudFormation, Terraform, CI/CD pipelines, and certifications such as AWS Certified Solutions Architect are typically required. Strong problem-solving, time management, and effective remote communication skills are valuable for collaborating with distributed teams. These abilities are essential for delivering secure, scalable, and reliable cloud solutions in a remote work environment.

What are some common challenges faced by remote AWS Cloud Engineers and how can they be addressed?

Remote AWS Cloud Engineers often encounter challenges such as coordinating across time zones, staying updated with rapidly evolving AWS services, and ensuring security best practices in distributed environments. To address these, it's important to set clear communication routines with your team, regularly participate in AWS webinars or training, and implement robust documentation for all cloud resources. Adopting a proactive approach to monitoring and automating infrastructure can reduce downtime and manual errors. Effective collaboration tools and strong self-management skills are key to navigating these remote work challenges while maintaining productivity.

Are there remote AWS Cloud Engineer jobs?

Yes, many companies offer remote AWS Cloud Engineer positions, allowing professionals to work from anywhere. These roles often require skills in cloud architecture, AWS services, and certifications like AWS Certified Solutions Architect, with flexible schedules becoming increasingly common.

How much does a remote AWS Cloud Engineer make?

A remote AWS Cloud Engineer typically earns between $80,000 and $130,000 annually, depending on experience, certifications, and location. Salaries can vary based on the complexity of cloud environments managed and the specific employer's pay scale.

What are popular job titles related to Remote Aws Cloud Engineer jobs in Spring, TX?

For Remote Aws Cloud Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Aws Cloud Engineer jobs in Spring, TX look for?

The top searched job categories for Remote Aws Cloud Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Remote Aws Cloud Engineer jobs?

Cities near Spring, TX with the most Remote Aws Cloud Engineer job openings:

Remote Aws Cloud Engineer jobs near you
Infographic showing various Remote Aws Cloud Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,400 per year, or $56 per hour.

Sr. Software Engineer - AI Platforms and Automation

IMO Health

Houston, TX • Remote

$140K - $200K/yr

Full-time

Re-posted 2 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.