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Global Automation Delivery Engineer II
Job in
Arlington, Tarrant County, Texas, 76004, USA
Listed on 2026-10-11
Listing for:
GM Financial
Part Time
position Listed on 2026-10-11
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer, IT Business Analyst, IT Support
Job Description & How to Apply Below
Why GMF Technology?
Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Flexible hybrid work environment (onsite 2 days a week/3 days remote) at our Arlington (AOC1), TX office.
Please note:
We are unable to provide any type of sponsorship for this position at this time. This position will be posted until filled.
What makes You an ideal candidate?
Skills & Knowledge Proven abilities in engineering batch jobs and workflows preferred
Proficiency at coding scripts in Unix, Linux and Windows system interface languages to facilitate workflow development preferred
Operating System fluency with Linux, UNIX, AIX, and Windows preferred
Familiarity with ITIL Service Management framework principles preferred
Exposure to working with geographically dispersed teams preferred
Must have high attention to detail, be well organized and a self-starter
Must be able to work with limited to moderate direct supervision
Readily and actively shares knowledge
Embraces diversity of ideas from team members and leaders
Easily adapts to new technologies and environment changes
Ability to identify, develop, document and implement industry best practices centered on Tidal or similar job scheduling technologies
Excellent analytical ability and troubleshooting skills
Excellent written and verbal communication skills, ability to communicate professionally in a corporate environment at all levels and to all audiences
Ability to train others in use of software/tools as needed
Readily adapts industry trends and new technologies to day-to-day work activities
Ability to relate knowledge of enterprise platforms and operating systems to key business functions and processes
Experience with sequel scripting highly preferred
Additional Knowledge and Skills Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily work Skills in evaluating AI outputs for accuracy, compliance, and bias Experience integrating AI into workflows to improve efficiency or insights
Familiarity with AI assisted research, summarization, and content generation
Understanding of responsible AI use, including ethics and data protection Work Experience & Education2-4 years of workflow development and engineering experience with Tidal or similar job scheduling software tools required
High School Diploma or equivalent required
Bachelor’s Degree in related field or equivalent experience preferred
What We Offer:
Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture:
Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation:
Competitive pay and bonus eligibility
Work Life Balance:
Flexible hybrid work environment, 2-days a week in office
This position is not open to agency submissions#GMFJobs #LI-Hybrid #LI-DW1
About the role:
This role is responsible for designing, implementing, and supporting workload automation solutions that optimize batch…
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