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Remote Aws Developer Jobs in Irving, TX (NOW HIRING)

Mental Health Expert - Remote

Dallas, TX ยท Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

Dallas, TX (90% remote and 10% in-office) Visa: GC & USC only Please ensure candidates submitted ... Red Hat OpenShift Service on AWS) Databases: โ€ข PostgreSQL โ€ข DB2 APIs: โ€ข RESTful APIs ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Site Reliability Engineering (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker

Showing results 41-60

Remote Aws Developer information

See Irving, TX salary details

$10

$51

$74

How much do remote aws developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote aws developer in Irving, TX is $51.90, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $61.88 per hour, depending on experience, location, and employer.

What is a remote AWS developer?

A Remote AWS Developer is responsible for designing, developing, and maintaining cloud-based applications and services using Amazon Web Services (AWS). They work remotely to build scalable and secure cloud solutions, often utilizing services like Lambda, EC2, S3, and DynamoDB. Their role includes optimizing performance, ensuring security, and integrating cloud services with applications. Collaboration with teams, troubleshooting cloud issues, and staying updated on AWS developments are also key aspects of the job.

What does a remote AWS developer do?

As a Remote AWS Developer, your typical day may involve designing, developing, and maintaining cloud-based applications using various AWS services. You'll likely work closely with product managers, DevOps engineers, and other developers to implement new features, resolve bugs, and optimize existing systems for scalability and security. Regular activities include writing clean, efficient code, automating infrastructure with tools like CloudFormation or Terraform, and managing deployments via CI/CD pipelines. You can also expect to participate in virtual team meetings and code reviews, ensuring clear communication and effective collaboration across distributed teams.

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

To thrive as a Remote AWS Developer, you need strong expertise in cloud computing, programming (such as Python, Java, or Node.js), and a solid understanding of AWS services like EC2, Lambda, S3, and RDS, typically supported by a degree in computer science or a related field. Familiarity with infrastructure-as-code tools (e.g., CloudFormation, Terraform), CI/CD systems, and relevant AWS certifications such as AWS Certified Developer or AWS Certified Solutions Architect is highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills in this role. These capabilities enable successful design, development, and deployment of scalable cloud solutions while collaborating efficiently in distributed teams.

What are popular job titles related to Remote Aws Developer jobs in Irving, TX?

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What job categories do people searching Remote Aws Developer jobs in Irving, TX look for?

The top searched job categories for Remote Aws Developer jobs in Irving, TX are:

What cities near Irving, TX are hiring for Remote Aws Developer jobs?

Cities near Irving, TX with the most Remote Aws Developer job openings:

Infographic showing various Remote Aws Developer job openings in Irving, TX as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,953 per year, or $51.9 per hour.

Mental Health Expert - Remote

YO AI Labs

Dallas, TX โ€ข Remote

$200 - $350/hr

Full-time

Posted 6 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.