Cloud Engineer III at GM Financial United States

📍 Job Overview

Job Title: Cloud Engineer III
Company: GM Financial United States
Location: Arlington, Texas, United States
Job Type: Full time
Category: DevOps Engineer
Date Posted: March 11, 2025
Experience Level: Mid-Senior level (2-5 years of experience)
Remote Status: On-site

🚀 Role Summary

Drive tech modernization efforts at GM Financial, focusing on building global platforms.
Leverage data and insights to support business objectives and enhance customer experiences.
Collaborate with cross-functional teams to deliver innovative solutions in the fintech and auto finance industry.
Contribute to GM Financial's mission of zero emission, zero collision, zero congestion, and zero friction.

📝 Enhancement Note: This role requires a strong focus on data-driven decision-making and a deep understanding of cloud engineering principles to support GM Financial's global expansion and tech modernization initiatives.

💻 Primary Responsibilities

Design, deploy, and manage cloud-based solutions using industry-leading platforms (e.g., AWS, Azure, or Google Cloud).
Collaborate with data analysts and business stakeholders to gather requirements and translate them into technical solutions.
Develop and maintain CI/CD pipelines to ensure efficient and reliable deployment of applications and services.
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Troubleshoot and resolve complex technical issues, ensuring minimal downtime and maximum system availability.
Stay up-to-date with emerging cloud technologies and best practices, and make recommendations for continuous improvement.

📝 Enhancement Note: This role requires a proactive approach to problem-solving and a strong commitment to staying current with the latest cloud technologies and trends.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Certified - Professional Cloud Architect) are a plus.

Experience: Proven experience (2-5 years) in cloud engineering, with a strong background in infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation, or Azure Resource Manager) and containerization technologies (e.g., Docker and Kubernetes).

Required Skills:

Proficiency in one or more cloud platforms (AWS, Azure, or Google Cloud).
Strong experience with infrastructure as code (IaC) tools.
Familiarity with containerization and orchestration tools.
Excellent scripting and programming skills (e.g., Python, Bash, or PowerShell).
Strong understanding of data analysis and business intelligence concepts.
Experience with CI/CD pipelines and version control systems (e.g., Git).
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Preferred Skills:

Experience with cloud-based data warehousing and analytics solutions (e.g., AWS Redshift, Azure Synapse, or Google BigQuery).
Familiarity with the auto finance industry and fintech trends.
Knowledge of cloud security best practices and compliance frameworks (e.g., ISO 27001, SOC 2, or CIS benchmarks).
Experience with cloud cost management and optimization tools (e.g., AWS Budgets, Azure Cost Management, or Google Cloud Billing).

📝 Enhancement Note: This role requires a strong blend of technical skills and business acumen, with a focus on leveraging data and insights to drive informed decision-making and improve customer experiences.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Include examples of cloud-based projects that demonstrate your ability to design, deploy, and manage scalable infrastructure.
Highlight your experience with infrastructure as code (IaC) tools and containerization technologies.
Showcase your problem-solving skills by presenting complex technical challenges and the solutions you implemented to address them.
Include any relevant certifications or training that demonstrate your expertise in cloud engineering.

Technical Documentation:

Provide detailed documentation for your cloud-based projects, including architecture diagrams, deployment scripts, and testing procedures.
Include any relevant metrics or performance data that demonstrate the success of your solutions.
Showcase your ability to collaborate with data analysts and business stakeholders by including any relevant data analysis or business intelligence components in your projects.

📝 Enhancement Note: This role requires a strong focus on documentation and collaboration, with an emphasis on leveraging data and insights to drive business value.

💵 Compensation & Benefits

Salary Range: $110,000 - $150,000 per year (based on regional market data for mid-senior level cloud engineers in the Arlington, Texas area)

Benefits:

Comprehensive health, dental, and vision insurance plans.
Retirement savings plans with company matching contributions.
Generous paid time off (PTO) and holiday schedule.
Employee discounts on GM vehicles and services.
Tuition assistance and professional development opportunities.
A dynamic and inclusive work environment with a strong focus on diversity, equity, and inclusion.

Working Hours: Full-time position with standard business hours (Monday-Friday, 8:00 AM - 5:00 PM, with flexibility for project deadlines and maintenance windows)

📝 Enhancement Note: The salary range for this role is based on regional market data for mid-senior level cloud engineers in the Arlington, Texas area. The benefits package is competitive and designed to support the well-being and professional growth of GM Financial's employees.

🎯 Team & Company Context

🏢 Company Culture

Industry: GM Financial is a leading auto finance company, providing retail automotive financing, leasing, and commercial lending services through GM Dealerships and other automotive retailers.

Company Size: With over 10,000 team members globally, GM Financial offers the stability and resources of a large organization with the agility and innovation of a startup.

Founded: GM Financial was established in 1992 as a wholly-owned subsidiary of General Motors, providing retail automotive financing, leasing, and commercial lending services through GM Dealerships and other automotive retailers.

Team Structure:

The cloud engineering team at GM Financial is responsible for designing, deploying, and managing the company's cloud infrastructure.
The team consists of cloud engineers, cloud architects, and cloud security specialists, working collaboratively to ensure the reliability, scalability, and security of GM Financial's cloud-based solutions.
The cloud engineering team works closely with data analysts, business stakeholders, and other IT teams to gather requirements, make recommendations, and deliver innovative solutions that support GM Financial's business objectives.

Development Methodology:

GM Financial follows Agile development methodologies, with a focus on continuous integration, continuous deployment, and continuous improvement.
The cloud engineering team uses version control systems (e.g., Git) and CI/CD pipelines to ensure efficient and reliable deployment of applications and services.
The team follows industry-leading security and compliance frameworks (e.g., ISO 27001, SOC 2, or CIS benchmarks) to ensure the protection of GM Financial's data and systems.

Company Website: https://www.gmfinancial.com/

📝 Enhancement Note: GM Financial's cloud engineering team plays a critical role in the company's tech modernization efforts, collaborating with cross-functional teams to deliver innovative solutions that support GM Financial's business objectives and enhance customer experiences.

📈 Career & Growth Analysis

Cloud Engineer III Career Level: This role is responsible for designing, deploying, and managing cloud-based solutions that support GM Financial's business objectives. The Cloud Engineer III is expected to have a strong understanding of cloud engineering principles, with experience in infrastructure as code (IaC) tools and containerization technologies. This role requires a proactive approach to problem-solving and a strong commitment to staying current with the latest cloud technologies and trends.

Reporting Structure: The Cloud Engineer III reports directly to the Cloud Engineering Manager and works collaboratively with other cloud engineers, cloud architects, and cloud security specialists to ensure the reliability, scalability, and security of GM Financial's cloud-based solutions.

Technical Impact: The Cloud Engineer III plays a critical role in GM Financial's tech modernization efforts, contributing to the design, deployment, and management of cloud-based solutions that support the company's business objectives. This role requires a strong focus on data-driven decision-making and a deep understanding of cloud engineering principles to ensure the success of GM Financial's global expansion and tech modernization initiatives.

Growth Opportunities:

Cloud Architect: With experience and demonstrated expertise, the Cloud Engineer III may progress to a cloud architect role, focusing on designing and optimizing cloud-based solutions that support GM Financial's business objectives.
Cloud Engineering Manager: With strong leadership skills and a proven track record of success, the Cloud Engineer III may advance to a cloud engineering manager role, responsible for leading and developing a team of cloud engineers.
Technical Specialist: The Cloud Engineer III may also specialize in a specific area of cloud engineering, such as cloud security, data analytics, or machine learning, and become a technical specialist in that domain.

📝 Enhancement Note: GM Financial offers a range of growth opportunities for cloud engineers, with a focus on developing technical expertise and leadership skills to support the company's tech modernization efforts.

🌐 Work Environment

Office Type: GM Financial's Arlington, Texas office is a modern and collaborative workspace, designed to support the company's agile and innovative culture. The office features open-concept workspaces, collaborative areas, and state-of-the-art technology to ensure the productivity and well-being of GM Financial's employees.

Office Location(s): GM Financial's Arlington, Texas office is located at 2401 E Main St, Arlington, TX 76010, with convenient access to public transportation and nearby amenities.

Workspace Context:

Collaborative Work Environment: GM Financial's Arlington, Texas office features open-concept workspaces, collaborative areas, and state-of-the-art technology to support the company's agile and innovative culture.
Development Tools and Resources: The cloud engineering team has access to industry-leading development tools, multiple monitors, and testing devices to ensure the efficient and reliable deployment of applications and services.
Cross-Functional Collaboration: The cloud engineering team works closely with data analysts, business stakeholders, and other IT teams to gather requirements, make recommendations, and deliver innovative solutions that support GM Financial's business objectives.

Work Schedule: Full-time position with standard business hours (Monday-Friday, 8:00 AM - 5:00 PM), with flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: GM Financial's Arlington, Texas office is designed to support the company's agile and innovative culture, with a focus on collaboration, productivity, and employee well-being.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss your experience, skills, and career goals with a member of the GM Financial recruitment team.
Technical Assessment: A hands-on technical assessment, focusing on your cloud engineering skills, problem-solving abilities, and familiarity with infrastructure as code (IaC) tools and containerization technologies.
Behavioral Interview: A structured interview to assess your communication, collaboration, and problem-solving skills, as well as your cultural fit with GM Financial.
Final Interview: A final interview with the Cloud Engineering Manager and other key stakeholders to discuss your technical expertise, career goals, and fit within the team.

Portfolio Review Tips:

Cloud Project Highlights: Highlight your experience with cloud-based projects, demonstrating your ability to design, deploy, and manage scalable infrastructure.
Data-Driven Decision-Making: Showcase your ability to leverage data and insights to drive informed decision-making and improve customer experiences.
Collaboration and Communication: Emphasize your ability to work effectively with cross-functional teams, gathering requirements and translating them into technical solutions.
Problem-Solving Skills: Present complex technical challenges and the solutions you implemented to address them, demonstrating your ability to think critically and innovate in the face of adversity.

Technical Challenge Preparation:

Cloud Platform Proficiency: Brush up on your knowledge of one or more cloud platforms (AWS, Azure, or Google Cloud), with a focus on infrastructure as code (IaC) tools and containerization technologies.
Data Analysis and Business Intelligence: Familiarize yourself with data analysis and business intelligence concepts, and be prepared to discuss how you've used data to drive informed decision-making in previous projects.
Problem-Solving and Communication: Practice explaining complex technical concepts in a clear and concise manner, and be prepared to discuss your approach to problem-solving and troubleshooting.

ATS Keywords: [Comprehensive list of cloud engineering, data analysis, and fintech-relevant keywords for resume optimization, organized by category: cloud platforms, infrastructure as code tools, containerization technologies, data analysis tools, business intelligence concepts, and soft skills]

📝 Enhancement Note: GM Financial's interview process is designed to assess your technical expertise, problem-solving skills, and cultural fit with the company. The portfolio review and technical challenge preparation tips are intended to help you showcase your strengths and demonstrate your value as a cloud engineer.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

AWS: Amazon Web Services is a popular choice for cloud-based infrastructure, offering a wide range of services for compute, storage, databases, and more.
Azure: Microsoft Azure is another leading cloud platform, providing a range of services for compute, storage, databases, and AI/ML.
Google Cloud: Google Cloud Platform offers a range of services for compute, storage, databases, and AI/ML, with a focus on data analytics and machine learning.

Infrastructure as Code (IaC) Tools:

Terraform: Terraform is an open-source IaC tool that enables you to define and provision cloud infrastructure using a declarative configuration language.
CloudFormation: AWS CloudFormation is an IaC service that enables you to model your entire infrastructure in a text file, allowing you to provision and manage resources in a repeatable and predictable way.
Azure Resource Manager (ARM): Azure Resource Manager is an IaC service that enables you to deploy and manage Azure resources using declarative configuration files.

Containerization Technologies:

Docker: Docker is a popular containerization platform that enables you to package and run applications in isolated environments.
Kubernetes: Kubernetes is an open-source container orchestration platform that enables you to automate the deployment, scaling, and management of containerized applications.

Data Analysis and Business Intelligence Tools:

AWS Redshift: AWS Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.
Azure Synapse: Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics.
Google BigQuery: Google BigQuery is a fully-managed, serverless data warehouse that enables you to analyze petabytes of data using SQL.

📝 Enhancement Note: GM Financial's cloud engineering team works with a range of cloud platforms, infrastructure as code (IaC) tools, containerization technologies, and data analysis and business intelligence tools to support the company's tech modernization efforts and enhance customer experiences.

👥 Team Culture & Values

Cloud Engineering Values:

Customer Focus: GM Financial's cloud engineering team is committed to understanding and addressing the needs of the company's customers, ensuring that cloud-based solutions are designed to enhance customer experiences and drive business value.
Innovation: The cloud engineering team is encouraged to think creatively and explore new technologies and approaches to solve complex technical challenges and drive continuous improvement.
Collaboration: GM Financial's cloud engineering team works closely with cross-functional teams, including data analysts, business stakeholders, and other IT teams, to gather requirements, make recommendations, and deliver innovative solutions that support the company's business objectives.
Continuous Learning: The cloud engineering team is committed to staying current with the latest cloud technologies and best practices, with a focus on continuous learning and professional development.

Collaboration Style:

Cross-Functional Integration: GM Financial's cloud engineering team works closely with data analysts, business stakeholders, and other IT teams to gather requirements, make recommendations, and deliver innovative solutions that support the company's business objectives.
Code Review Culture: The cloud engineering team follows best practices for code review, ensuring that code is well-documented, tested, and optimized for performance and scalability.
Knowledge Sharing: The cloud engineering team is committed to sharing knowledge and expertise with one another, with a focus on continuous learning and professional development.

📝 Enhancement Note: GM Financial's cloud engineering team is committed to fostering a culture of collaboration, innovation, and continuous learning, with a focus on driving business value and enhancing customer experiences through cloud-based solutions.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Migration: GM Financial is in the process of migrating its on-premises infrastructure to the cloud, presenting an opportunity for cloud engineers to gain experience with cloud migration tools and best practices.
Data-Driven Decision-Making: GM Financial is committed to leveraging data and insights to drive informed decision-making and improve customer experiences. Cloud engineers are challenged to work with data analysts and business stakeholders to gather requirements and translate them into technical solutions.
Emerging Technologies: GM Financial is exploring the use of emerging technologies, such as AI/ML and IoT, to enhance customer experiences and drive business value. Cloud engineers are challenged to stay current with the latest trends and make recommendations for continuous improvement.

Learning & Development Opportunities:

Cloud Training and Certification: GM Financial offers training and certification opportunities for cloud engineers, with a focus on developing expertise in cloud platforms, infrastructure as code (IaC) tools, and containerization technologies.
Conference Attendance and Networking: GM Financial encourages cloud engineers to attend industry conferences and events, providing opportunities to network with peers, learn about emerging trends, and gain insights into best practices.
Mentorship and Coaching: GM Financial offers mentorship and coaching opportunities for cloud engineers, with a focus on developing technical expertise and leadership skills.

📝 Enhancement Note: GM Financial's cloud engineering team faces a range of technical challenges and learning opportunities, with a focus on leveraging data and insights to drive informed decision-making and enhance customer experiences through cloud-based solutions.

💡 Interview Preparation

Technical Questions:

Cloud Platform Proficiency: Be prepared to discuss your experience with one or more cloud platforms (AWS, Azure, or Google Cloud), with a focus on infrastructure as code (IaC) tools and containerization technologies.
Data Analysis and Business Intelligence: Be prepared to discuss your experience with data analysis and business intelligence concepts, and how you've used data to drive informed decision-making in previous projects.
Problem-Solving and Troubleshooting: Be prepared to discuss complex technical challenges you've faced in previous roles and the solutions you implemented to address them.

Company & Culture Questions:

Cloud Engineering at GM Financial: Be prepared to discuss your understanding of GM Financial's cloud engineering team and its role in supporting the company's business objectives.
Data-Driven Decision-Making: Be prepared to discuss your experience with data-driven decision-making and how you've used data to drive informed decision-making in previous projects.
Collaboration and Cross-Functional Teamwork: Be prepared to discuss your experience working with cross-functional teams, including data analysts, business stakeholders, and other IT teams, to gather requirements and deliver innovative solutions.

Portfolio Presentation Strategy:

Cloud Project Highlights: Highlight your experience with cloud-based projects, demonstrating your ability to design, deploy, and manage scalable infrastructure.
Data-Driven Decision-Making: Showcase your ability to leverage data and insights to drive informed decision-making and improve customer experiences.
Collaboration and Communication: Emphasize your ability to work effectively with cross-functional teams, gathering requirements and translating them into technical solutions.
Problem-Solving Skills: Present complex technical challenges and the solutions you implemented to address them, demonstrating your ability to think critically and innovate in the face of adversity.

📝 Enhancement Note: GM Financial's interview process is designed to assess your technical expertise, problem-solving skills, and cultural fit with the company. The portfolio review and technical challenge preparation tips are intended to help you showcase your strengths and demonstrate your value as a cloud engineer.

📌 Application Steps

To apply for this Cloud Engineer III position at GM Financial:

Submit Your Application: Visit the GM Financial careers page (https://www.gmfinancial.com/careers/) and search for the Cloud Engineer III position. Click on the job title to access the job description and application form.
Customize Your Portfolio: Highlight your experience with cloud-based projects, demonstrating your ability to design, deploy, and manage scalable infrastructure. Include any relevant certifications or training that showcase your expertise in cloud engineering.
Optimize Your Resume: Tailor your resume to highlight your experience with cloud engineering, data analysis, and fintech trends. Include any relevant keywords and phrases to help your resume pass through applicant tracking systems (ATS).
Prepare for Technical Interviews: Brush up on your knowledge of cloud platforms, infrastructure as code (IaC) tools, and containerization technologies. Practice explaining complex technical concepts in a clear and concise manner, and be prepared to discuss your approach to problem-solving and troubleshooting.
Research GM Financial: Familiarize yourself with GM Financial's business, industry trends, and the company's tech modernization efforts. Be prepared to discuss how your skills and experience align with GM Financial's business objectives and how you can contribute to the company's success.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and cloud engineering industry-standard assumptions. All details should be verified directly with GM Financial's hiring organization before making application decisions.

Cloud Engineer III