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Part Time Azure Devops Engineer Jobs in Dallas, TX

Shield AI

Staff Engineer, Manufacturing

Dallas, TX · On-site

S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Stantec

Senior Bridge Engineer

Plano, TX · On-site

$93K - $128K/yr

The Senior Bridge Engineer should be able to evaluate, select, specify, and engineer systems or ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Varsity Tutors

Python Tutor

Irving, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Fort Worth, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Arlington, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Carrollton, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Grand Prairie, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Dallas, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Allen, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Plano, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Mckinney, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Shield AI

Chief Engineer, Autonomy (R4614)

Dallas, TX

$200K - $300K/yr

S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Plutus Health

Salesforce Developer

Dallas, TX · On-site

$55 - $72.75/hr

WFO Terms-Fulltime/Part time/Contractual: Fulltime Job Summary As a Salesforce developer, you play a crucial role in helping organizations maximize the value of their Salesforce investment. You ...

Shield AI

Electrical Engineer I (TX)

Dallas, TX · On-site

$81K - $122K/yr

S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Arcadis

Electrical Engineer

Dallas, TX

$105K - $150K/yr

You'll serve as the engineer of record, collaborating with project teams, junior and senior ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

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All JobsAzure Devops Engineer JobsPart Time Azure Devops Engineer JobsPart Time Azure Devops Engineer Jobs in Dallas, TX

Part Time Azure Devops Engineer information

See Dallas, TX salary details

$16

$59

$85

How much do part time azure devops engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for part time azure devops engineer in Dallas, TX is $59.88, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $68.70 per hour, depending on experience, location, and employer.

What is a part time Azure DevOps engineer?

Part Time Azure DevOps Engineers are professionals who work with Microsoft's Azure cloud platform to automate, monitor, and optimize software development and deployment processes, but on a part-time schedule. They typically handle tasks such as setting up CI/CD pipelines, managing infrastructure as code, and ensuring application reliability and scalability. Working part-time allows them flexibility, but they are still expected to possess strong technical skills in Azure services, scripting, and DevOps practices. These engineers often collaborate with development and IT teams to streamline workflows and improve software delivery. Their roles may also include troubleshooting, security management, and cost optimization within Azure environments.

How does a part time Azure DevOps engineer typically collaborate with full-time team members and ensure project continuity?

As a part-time Azure DevOps Engineer, effective communication and clear documentation are essential for smooth collaboration with full-time team members. You will often rely on tools like Azure Boards, Teams, and shared repositories to keep everyone updated on your progress and any changes made. Regular check-ins, status updates, and detailed handover notes help ensure that the workflow remains uninterrupted when you are not available. Being proactive in aligning your work schedule with key project milestones and meetings also helps maintain project momentum and fosters strong team integration.

What are the key skills and qualifications needed to thrive as a part time Azure DevOps engineer, and why are they important?

To thrive as a Part Time Azure DevOps Engineer, you need a solid understanding of software development life cycles, CI/CD pipelines, and cloud infrastructure, typically backed by experience with Azure and a degree in computer science or related field. Familiarity with Azure DevOps Services, Git, scripting languages (such as PowerShell or Bash), and relevant certifications like Microsoft Certified: Azure DevOps Engineer Expert is crucial. Strong problem-solving, time management, and effective communication skills help you manage multiple responsibilities and collaborate remotely. These skills ensure efficient deployment processes, system reliability, and seamless teamwork, which are vital for success in a part-time, cloud-focused engineering role.

What are the most commonly searched types of Azure Devops Engineer jobs in Dallas, TX?

The most popular types of Azure Devops Engineer jobs in Dallas, TX are:

What are popular job titles related to Part Time Azure Devops Engineer jobs in Dallas, TX?

For Part Time Azure Devops Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Part Time Azure Devops Engineer jobs in Dallas, TX look for?

The top searched job categories for Part Time Azure Devops Engineer jobs in Dallas, TX are:

Part Time Azure Devops Engineer jobs near you
Infographic showing various Part Time Azure Devops Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $124,553 per year, or $59.9 per hour.

Staff Engineer, Manufacturing

Shield AI

Dallas, TX • On-site

Full-time, Part-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
As a Staff Manufacturing Engineer, you’ll take ownership of critical manufacturing processes across multiple programs, leading initiatives to increase throughput, reduce costs, and scale our operations. You’ll be instrumental in building out the infrastructure for a new production line supporting a next-generation jet, including selecting and deploying capital equipment, implementing hardware and software tools, and establishing robust production systems. Working across engineering, supply chain, and production, you’ll ensure smooth integration of new technologies and provide mentorship to other engineers. This role is ideal for someone who thrives on cross-functional impact, technical leadership, and factory-scale execution. 
What You'll Do:
  • Act as a technical leader across programs, owning the design and optimization of high-impact manufacturing processes. 
  • Drive the scale-up of our flagship product line, balancing throughput, quality, and cost. 
  • Lead the manufacturing engineering effort for launching a new production line for a larger and more capable jet. 
  • Scope and deploy critical production infrastructure, including manufacturing equipment, tooling, and hardware/software systems. 
  • Engage with vendors to source and integrate capital equipment, production tools, and automation systems. 
  • Mentor engineers and production personnel to build organizational capability and technical depth. 
  • Champion cross-functional initiatives that standardize and improve manufacturing performance at scale. 
Required Qualifications:
  • Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or a related field, or relevant experience
  • 7+ years of experience in manufacturing engineering, with a focus in rapid growth environments
  • Experience in owning the scale of production processes in a startup or rapid-growth environment.
  • Strong understanding of manufacturing processes, including machining, composites, avionics and/or assembly.
  • Experience with process improvement methodologies, such as Lean Manufacturing or Six Sigma.
  • Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities.
Preferred Qualifications
  • Knowledge of quality standards, such as AS9100 or ISO 9001.
  • Proficiency in CAD software
  • Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems.
  • Knowledge of ERP/MRP systems and data-driven decision-making in a manufacturing context.
  • Hands-on experience with manufacturing equipment and tooling design.
  • Strong project management skills, including experience managing multiple priorities and deadlines.
#LI-JM1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.