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Volunteer Python Automation Engineer Jobs in Dallas, TX

HaloMD

Automation Developer III - Python

Dallas, TX · Remote

$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 ...

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 ...

Armavel, LLC

Be Seen First

Automation Engineer

Dallas, TX · Remote

$110K - $130K/yr

Work with delivery leads, engineers, and stakeholders to design and implement automation and AI ... Proficiency with Power Platform, scripting (Python/PowerShell), and automation tools * Strong ...

Amicis Global

Automation Engineer

Plano, TX · On-site

... Python, Bash, or PowerShell) for automation tasks. • Proficiency in at least one programming language (e.g., Java, Python, JavaScript/TypeScript, C#). • Strong communication skills with the ...

Redolent, Inc

Test & UI Automation Engineer

Plano, TX

$44 - $58.25/hr

Test & UI Automation Engineer Work Location: Plano TX 4-5 years of experience in Software Test ... Python or C# Thorough understanding of SDLC, specifically automated QA processes in agile ...

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$36.6K

$106K

$161.2K

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

As of May 29, 2026, the average yearly pay for volunteer python automation engineer in Dallas, TX is $105,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $122,200.00 per year, depending on experience, location, and employer.

What is the difference between Volunteer Python Automation Engineer vs Python Developer?

AspectVolunteer Python Automation EngineerPython Developer
CredentialsBasic programming knowledge, possibly some automation certificationsFormal education or certifications in Python or software development
Work EnvironmentVolunteer projects, non-profit organizations, open-source communitiesCorporate, startup, or freelance development settings
Industry UsageNon-profit, open-source, community-driven projectsTechnology, finance, healthcare, and various software industries

While both roles involve Python programming, Volunteer Python Automation Engineers focus on automating tasks for non-profit or open-source projects without monetary compensation. Python Developers typically work in paid positions within companies, developing software products or solutions. The key difference lies in the work environment and compensation, though both require strong Python skills and understanding of automation.

What are the most commonly searched types of Python Automation Engineer jobs in Dallas, TX? The most popular types of Python Automation Engineer jobs in Dallas, TX are:
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Volunteer Python Automation Engineer jobs near you

Python Automation Engineer

Futran Tech Solutions Pvt. Ltd.

Dallas, TX • On-site

Full-time

Posted 12 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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