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Python Automation Engineer Jobs in Texas (NOW HIRING)

HaloMD

Automation Developer III - Python

Dallas, TX · On-site +1

$110K - $130K/yr

As an Automation Developer, you will play a pivotal role supporting and streamlining business operations by automating processes using Python. This role involves working with email systems, storage ...

Apex Informatics

QA (python, automation)

Dallas, TX · On-site

Job Title: Sr. QA (python, automation) on W2 Location: Pittsburgh, PA or Dallas, TX/Strongsville, OH /Birmingham, AL (hybrid) Duration: Long Term What type of industry background do you feel would ...

TPI Global Solutions

Automation Engineer

Austin, TX

Proficient programming skills relevant to automation engineering (e.g., Python, C++, or other programming languages). Familiarity with manufacturing environments, systems integration, and process ...

Wise Skulls

Python QE Engineer

Austin, TX · On-site

We are looking for a Python QE Automation Engineer with at least 3+ years of relevant experience in automation testing and quality engineering. Required Skills: * Strong experience in Python

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$21.4K

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How much do python automation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for python automation engineer in Texas is $130,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $153,300.00 per year, depending on experience, location, and employer.

What is a Python Automation Engineer job?

A Python Automation Engineer is responsible for designing, developing, and maintaining automated solutions using Python. They work on tasks like scripting repetitive processes, testing automation, data processing, and infrastructure automation. Their role often involves integrating various tools, optimizing workflows, and ensuring efficient software deployment. Strong programming skills, knowledge of automation frameworks, and experience with CI/CD pipelines are essential for this role.

What are the key skills and qualifications needed to thrive in the Python Automation Engineer position, and why are they important?

To excel as a Python Automation Engineer, you need strong programming skills in Python, experience with automation frameworks (such as Selenium or PyTest), and a degree in computer science or a related field. Familiarity with version control systems like Git, continuous integration tools like Jenkins, and, optionally, certifications in automation or Python development are highly valued. Attention to detail, problem-solving skills, and the ability to communicate effectively with cross-functional teams are important soft skills for this position. These abilities ensure that automation solutions are reliable, scalable, and aligned with business or project goals.

What does a typical day or week look like for a Python Automation Engineer?

A typical day for a Python Automation Engineer involves designing, coding, and maintaining automation scripts to streamline repetitive tasks or testing processes. You may collaborate with software developers, QA testers, and DevOps engineers to understand workflow requirements and troubleshoot issues that arise. Regular responsibilities include reviewing code, writing and running automated tests, monitoring results, and documenting procedures. Expect to participate in team meetings, project updates, and knowledge-sharing sessions as part of an agile or collaborative environment. This role provides variety and opportunities to continuously learn about new tools, technologies, and best practices.
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Python Automation Engineer jobs near you
Infographic showing various Python Automation Engineer job openings in Texas as of May 2026, with employment types broken down into 11% Internship, 73% Full Time, 11% Part Time, and 5% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $130,405 per year, or $62.7 per hour.

Python Automation Engineer

Futran Tech Solutions Pvt. Ltd.

Dallas, TX • On-site

Full-time

Posted 13 days ago

Job description

We are looking for a highly skilled Automation Engineer with a strong systems engineering background to build scalable, resilient, and intelligent automation solutions. This role demands someone who thrives in aggressive environments, embraces complex challenges, and can operate effectively in uncertain situations. Someone with a automation-first mindset to drive efficiency, reduce manual toil, and enhance operational excellence using modern automation solutions will be a great fit.
As part of a mission-critical team, you will work on automating infrastructure, integrating tools via APIs, improving observability, and implementing AIOps-driven solutions. If you're passionate about problem-solving, AI/ML in operations, and optimizing large-scale cloud environments, this role is for you.
Key Responsibilities
  • Develop Python-based automation solutions to streamline on-prem and cloud infrastructure management on GCP and Kubernetes.
  • Continuously identify and implement the opportunities to enhance the operational excellence.
  • Build proactive and innovative solutions that can scale.
  • Implement and manage configuration automation using Ansible (desirable).
  • Integrate various tools and services via APIs and client libraries, enabling seamless interoperability across systems.
  • Enhance deployment reliability by implementing automated chaos strategies, failover mechanisms, and self-healing infrastructure.
  • Develop proactive monitoring and ing solutions using tools like Splunk, GCP Operations Suite, Grafana, and Prometheus.
  • Perform deep root cause analysis (RCA), incident management for complex system failures and develop automation to prevent recurrence.
  • Work on system resilience and performance tuning, ensuring mission-critical applications run efficiently under high loads.
  • Apply AI/ML techniques to automation workflows, enhancing anomaly detection, predictive scaling, and intelligent ing.
  • Identify and develop AIOps opportunities, reducing operational overhead through intelligent automation.
  • Experiment with machine learning models to optimize log analysis, monitoring insights, and failure predictions.
Required Skills & Experience
  • Strong background in Systems Engineering with a focus on automation and reliability.
  • Proficiency in Python (intermediate to expert level) for developing automation and integrations.
  • Hands-on expertise with Kubernetes and cloud platforms (GCP or any major cloud).
  • Experience integrating various tools and platforms via APIs and client libraries.
  • Deep understanding of monitoring and ing using Splunk, GCP Operations Suite, Grafana, and Prometheus.
  • Ability to work in aggressive, high-stakes environments where reliability and uptime are critical.
  • Strong problem-solving skills, capable of navigating uncertainty and handling complex challenges.
  • Experience with Ansible for infrastructure automation.
  • Prior experience working in mission-critical teams handling large-scale, high-availability systems is a plus.
  • Enthusiasm for AI/ML and AIOps, with a desire to apply it in automation and operations.

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