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Remote Python Automation Engineer Jobs in Stafford, TX

SolidWorks Expert - Remote

Houston, TX ยท Remote

$40 - $130/hr

Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ... Experience with assembly-level design and CAD workflow automation using Python, iLogic, VBA, or ...

Remote Work Emp Type: Contract (C2C/W2) Interview: Phone/Skype UCM engineers who have experience ... Python, Java, Perl Ability to troubleshoot collaboration solutions covering multiple products and ...

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 ...

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AI Software Engineer (Remote)

Houston, TX ยท Remote

$125K - $150K/yr

... development, automation, and advanced problem-solving * 5+ years in software engineering or ... Strong proficiency in Python and TypeScript; expertise with API-first, event-driven, and serverless ...

Senior Power Systems Engineer 2

Houston, TX ยท On-site +1

$100K - $152K/yr

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

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 ...

Showing results 41-60

Remote Python Automation Engineer information

See Stafford, TX salary details

$20K

$121.9K

$176.3K

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

As of Aug 20, 2026, the average yearly pay for remote python automation engineer in Stafford, TX is $121,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $143,200.00 per year, depending on experience, location, and employer.

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?

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.

How does a remote Python automation engineer typically collaborate with cross-functional teams in a 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 job categories do people searching Remote Python Automation Engineer jobs in Stafford, TX look for?

The top searched job categories for Remote Python Automation Engineer jobs in Stafford, TX are:

What cities near Stafford, TX are hiring for Remote Python Automation Engineer jobs?

Cities near Stafford, TX with the most Remote Python Automation Engineer job openings:

Infographic showing various Remote Python Automation Engineer job openings in Stafford, TX as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $121,858 per year, or $58.6 per hour.

Senior Software Engineer, Fleet Mission Control

Bot Auto

Houston, TX โ€ข Remote

$117K - $154K/yr

Full-time

Re-posted 16 days ago


Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

We are seeking a highly skilled and motivated Senior Software Engineer, Operation Platforms to architect and build the platforms that run Bot Auto's autonomous trucking operations. Our Operation Platforms builds the intelligence and automation behind fleet scheduling, fleet management, fleet maintenance, mission control, remote assistance, IoT platform, business intelligence, and operational efficiency. Together, these platforms form a cyber-physical operating system that turns commercial freight into executable, monitored, and reconciled work. In this role, you will design the core object models, state machines, and services that coordinate Loads, Legs, Missions, and Trips across digital and physical domains, with clear authority boundaries, deterministic foundations, and room for agentic automation on top. As a hands-on technical leader, you will build operator-facing tools and backend services that move our fleet safely and efficiently in real-world commercial operations.

Key Responsibilities
  • Architect and build the core operation platforms - scheduler, dispatcher, vehicle console, ATC, and TMS - and the services that coordinate them.
  • Design durable object models, state machines, and lifecycle logic for the system's core entities (Load, Leg, Mission, Trip) and the structured events that connect them (e.g., execution impact events, mission closeout packages).
  • Establish clear authority boundaries between applications (a source-of-authority model), keeping the deterministic core reliable, traceable, and auditable while enabling probabilistic, agent-assisted automation on top.
  • Build real-time operator tooling and role-based views for dispatchers, remote assistants, technicians, and fleet managers - covering monitoring, mission control, exception handling, and remote assistance.
  • Develop backend services, APIs, and event-driven integrations that connect digital planning with the physical fleet, including the vehicle console at the edge.
  • Ensure safety-relevant workflows (e.g., launch authorization and dual-clearance, recovery and physical-takeover handoff) are correct, observable, and resilient.
  • Partner with autonomy, operations, product, and physical-layer teams to translate real operational workflows into dependable software.
  • Drive engineering excellence through system design, code quality, testing, observability, and mentorship.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
  • 5+ years of software engineering experience building backend services and/or full-stack applications in production
  • Strong software development skills in one or more languages: Python, Go, Java, or JavaScript/TypeScript
  • Experience designing distributed systems, data models, state machines, or workflow/lifecycle-driven applications
  • Solid understanding of APIs, databases, and event-driven architectures
Preferred Qualifications
  • Experience with operations-critical, mission-control, logistics, fleet management, TMS, dispatch/scheduling, or marketplace systems
  • Experience building real-time systems and operator-facing tools (live dashboards, command-and-control)
  • Familiarity with event-driven and streaming platforms (NATS, Kafka, MQTT, etc.) and modern frontend frameworks (React, TypeScript)
  • Experience with cloud platforms (AWS), containerization (Docker), and Kubernetes
  • Exposure to LLM/agentic automation and human-in-the-loop systems
  • Interest in autonomous systems, robotics, or cyber-physical systems
  • Strong product sense and the ability to collaborate closely with operations teams