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Remote Python Automation Engineer Jobs in Houston, TX

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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 ...

MatchPoint Solutions

AI Engineer - Claude

Seabrook, TX · On-site +1

$80 - $100/hr

Remote - USA Employment Type: Contract Pay Range: $80/hr - $100/hr - Key Responsibilities We are ... Python, Claude/LLM integrations, prompt engineering, workflow automation, API development, and ...

CEDENT

Dynatrace Developer

Houston, TX · Remote

... basic automation (understanding of what can be automated in a data center) Soft Skills: * ability to work with all business units from co-developers, Dynatrace directly, to leadership * If remote ...

CEDENT

Dynatrace Developer (Houston, TX)

Houston, TX · Remote

... automation (understanding of what can be automated in a data center) Soft Skills: ability to work with all business units from co-developers, Dynatrace directly, to leadership If remote, able to ...

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All JobsPython Automation Engineer JobsRemote Python Automation Engineer JobsRemote Python Automation Engineer Jobs in Houston, TX

Remote Python Automation Engineer information

See Houston, TX salary details

$22K

$133.7K

$193.4K

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

As of Jul 10, 2026, the average yearly pay for remote python automation engineer in Houston, TX is $133,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $157,100.00 per year, depending on experience, location, and employer.

How does a Remote Python Automation Engineer typically collaborate with cross-functional teams, given the remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What is a Remote Python Automation Engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

What are the key skills and qualifications needed to thrive as a Remote Python Automation Engineer, and why are they important?

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.
What are the most commonly searched types of Python Automation Engineer jobs in Houston, TX? The most popular types of Python Automation Engineer jobs in Houston, TX are:
What are popular job titles related to Remote Python Automation Engineer jobs in Houston, TX? For Remote Python Automation Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Python Automation Engineer jobs in Houston, TX look for? The top searched job categories for Remote Python Automation Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Python Automation Engineer jobs? Cities near Houston, TX with the most Remote Python Automation Engineer job openings:
Remote Python Automation Engineer jobs near you

Copy of Senior Python Developer (AI Evaluation & Benchmarking)

Lifted, an Upwork Company™

Texas City, TX • Remote

$80 - $100/hr

Contractor

Posted 11 days ago

Job description

Company Description

An enterprise client is seeking experienced Senior Python Developers to help build the next generation of Artificial Intelligence systems. This opportunity support the client who is a leading AI platform that enables organizations to build intelligent applications through high-quality human feedback, AI evaluation, and model alignment.

The selected consultants will contribute to AI research by designing programming benchmarks, evaluating AI-generated code, and helping improve the performance, reasoning, and reliability of frontier AI models. This is an excellent opportunity for experienced software engineers who enjoy solving complex technical problems while contributing to the future of Generative AI.

Job Description

This opportunity is ideal for senior software engineers with strong Python expertise who enjoy writing high-quality code, reviewing technical solutions, and working on AI-related projects.

What You'll Do:

  • Design and develop coding benchmarks used to evaluate frontier AI models.
  • Analyze AI-generated code for correctness, reliability, efficiency, and edge cases.Build and maintain scalable data pipelines that support AI evaluation workflows.
  • Create structured programming scenarios to test reasoning, debugging, and code quality.
  • Work with large codebases and multi-language software environments.
  • Collaborate with teams focused on improving how AI models understand, generate, and evaluate software.
  • Write clean, maintainable, and well-tested Python code following software engineering best practices.
Qualifications

Requirements:

  • 4+ years of professional software engineering experience (required).
  • Expert-level proficiency in Python.
  • Experience working at a high-growth technology company or top-tier software organization.
  • Proficiency in at least one additional programming language such as JavaScript, Go, C++, or similar.
  • Experience with CI/CD pipelines and automated testing frameworks such as pytest, Mocha, or JUnit.
  • Strong understanding of software engineering best practices, debugging, and code quality.
  • Excellent analytical and problem-solving skills.

Nice to Haves:

  • Experience with AI/ML evaluation, model benchmarking, or Generative AI.
  • Background in security engineering.
  • Significant contributions to open-source software projects.
  • Experience working with large-scale distributed systems or enterprise software platforms.
Additional Information
  • Fully remote contract opportunity.
  • Compensation ranges from $80-$100 USD per hour.
  • Expected workload is 10-39 hours per week, depending on project needs.
  • Weekly payments for approved work completed during the previous week.
  • Work volume may fluctuate throughout the duration of the engagement.

Hiring Process:

  • Submit your proposal.
  • Complete a short qualification form provided by the client.
  • Qualified candidates will receive an Upwork contract offer and onboarding instructions.
  • After accepting the contract, candidates will gain access to the client's evaluation.
  • Candidates who successfully pass the evaluation will be invited to a technical interview with the client.

Apply