Platform Engineer

Job Description

Why GM Financial?

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.

At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Our Purpose: We pioneer the innovations that move and connect people to what matters.

Responsibilities

About this role:

This role focuses on building and maintaining a secure, scalable platform that enables efficient delivery of high-quality servicing applications, while leveraging modern technologies to improve performance and cost efficiency. The position also emphasizes automation, compliance, and self-service capabilities to streamline operations, enhance reliability, and support critical business workloads.

In This Role You Will

• Collaborate with product and servicing teams to design, build, and operate platform capabilities that accelerate delivery of customer value with high quality, velocity, and safety.
• Develop and maintain standardized tooling for deploying and running SRS applications, ensuring alignment with enterprise best practices and compliance requirements.
• Continuously evolve the SRS platform to adopt modern technologies that improve performance, resiliency, and cost efficiency.
• Ensure the platform is secure, scalable, and highly available, supporting critical servicing workloads such as insurance, fee processing, and regulatory logic.
• Architect and implement self-service capabilities for SRS teams by automating provisioning, deployment pipelines, and observability workflows to reduce operational overhead and eliminate manual touchpoints.
• Participate in cross-functional initiatives to raise engineering standards and align platform strategy with broader SRS release goals.
• Build automation for platform operations, infrastructure provisioning, and environment management using tools like Terraform, Ansible, and Azure DevOps.
• Implement automated controls and compliance checks into the platform to support cybersecurity and audit readiness (e.g., Splunk SIEM integration, SSL enforcement).
• Participate in on-call rotations to ensure rapid resolution of platform-related incidents, especially during SRS release windows.
• Optimize platform FinOps by monitoring usage, cost drivers, and scaling strategies.
• Ensure robust observability and performance monitoring using OpenTelemetry, Grafana, and Splunk.

Qualifications

What makes You an ideal candidate?

• Strong experience across the SDLC: system design, scripting, testing, CI/CD, observability, and security.
• Excellent communication skills (verbal and written), with a customer-focused mindset.
• Proven ability to drive continuous improvement and adopt a growth mindset.
• Experience building platforms that support scalable, resilient servicing applications.
• Deep knowledge of cloud infrastructure (Azure preferred).
• Proficient in scripting/programming languages: Java, Go, Python, Bash.
• Hands-on experience with DevOps and SRE tooling: Jenkins, Azure DevOps, Terraform, Ansible, GitHub, Docker, Kubernetes, Splunk, OpenTelemetry, Grafana.
• Familiarity with Chaos Engineering principles and practices.
• Familiarity with “everything-as-Code” (EaC) pattern.
• Experience with Oracle WebLogic Server, including configuration, deployment, performance tuning, and troubleshooting in enterprise environments.
• Experience supporting regulatory and financial servicing systems is a plus.

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.

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.

NOTE: We are unable to consider candidates who require visa sponsorship for this position

This position is not open to agency submissions

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