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Remote Python Automation Engineer Jobs in Spring, TX

AI Architect Lead

Houston, TX ยท Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... engineering, and distributed systems design. Expertise in Python, TypeScript, Node.js, Java, Go, or ...

UCM Engineer

Houston, TX ยท On-site +1

UCM Engineer Location: Remote Work Emp Type: Contract (C2C/W2) Interview: Phone/Skype ยง UCM ... Python, Java, Perl ยง Ability to troubleshoot collaboration solutions covering multiple products ...

You will evaluate customer requirements for automation projects, collaborate with Engineering and ... A one-time allowance for fully remote and hybrid employees to support an at-home or on-the-road ...

Lead Power Systems Engineer 2

Houston, TX ยท On-site +1

$134K - $205K/yr

... working remote from home. We are seeking a highly skilled and experienced Lead Electrical ... AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to lead ...

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Remote Python Automation Engineer information

See Spring, TX salary details

$20.5K

$124.6K

$180.2K

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 Spring, TX is $124,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $146,400.00 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 job categories do people searching Remote Python Automation Engineer jobs in Spring, TX look for? The top searched job categories for Remote Python Automation Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Python Automation Engineer jobs? Cities near Spring, TX with the most Remote Python Automation Engineer job openings:
Infographic showing various Remote Python Automation Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $124,559 per year, or $59.9 per hour.

AI Architect Lead

NATIONMIND LLC

Houston, TX โ€ข Remote

$45 - $50/hr

Full-time

Posted 27 days ago


Job description

About NationMind LLC:
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Architect Lead to join our growing team.
Role: AI Architect Lead
Location: Houston TX or US Remote
Duration: 6 months
Skills: AI and Automation AI Agents
Experience Required: 10 & Above
Role Descriptions:
Strong experience in enterprise solution architecture, backend engineering, and distributed systems design.
Expertise in Python, TypeScript, Node.js, Java, Go, or similar backend technologies.
Strong experience designing APIs, integration platforms, event-driven architectures, and workflow orchestration systems.
Hands-on experience with GenAI applications, AI agents, RAG workflows, tool-calling systems, and enterprise chatbot platforms.
Strong understanding of LLM ecosystems including OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar AI platforms.
Experience designing orchestration frameworks, agent runtimes, workflow engines, and stateful task execution systems.
Strong understanding of prompt engineering, structured outputs, guardrails, function calling, and AI safety controls.
Experience integrating enterprise collaboration and workflow platforms including Slack, Jira, Zendesk, ServiceNow, and Confluence.
Strong understanding of enterprise identity and access management including Okta, SCIM, SSO, RBAC, ABAC, secrets management, and governance controls.
Experience with observability platforms, OpenTelemetry, monitoring frameworks, logging, tracing, metrics, and operational dashboards.
Strong knowledge of secure architecture practices, enterprise governance, data privacy, compliance, and operational reliability.
Experience with CI/CD pipelines, DevOps practices, deployment automation, rollback strategies, and operational lifecycle management.
Strong stakeholder management and leadership skills across architecture, engineering, AI Ops, governance, security, and business teams.
Core Skills:
AI & Automation
AI Agents
GenAI Applications
RAG Workflows
LLM Platforms (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI)
Python, TypeScript, Node.js, Java, Go
API & Integration Architecture
Workflow Orchestration
Prompt Engineering
Enterprise Security & IAM
DevOps / CI-CD
Observability & Monitoring
Leadership & Stakeholder Management
This role is essentially a Senior/Lead AI Solutions Architect focused on designing and governing enterprise-scale AI agent and GenAI platforms.

This is a remote position.