About The Role

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.

This position will be posted until filled.

About the role

The Cloud Engineer is responsible for working collaboratively in an agile team to implement highly available and secure cloud technologies. The person in this role is also responsible for continuous monitoring and optimization of the cloud implementation for efficiencies and continuous support of, and collaboration with, other teams and projects, particularly DevOps, platform and automation teams. The person in this role must be a highly collaborative, creative and intellectually curious individual who is passionate about forming and implementing cutting-edge cloud computing capabilities.

In this role you will

Build secure cloud solutions in major public clouds such as Microsoft Azure and Amazon Web Services
Collaborate with product owners and managers to establish service level objectives for applications and agreed consequences if the objectives are not being met
Collaborate with development team members to swarm, troubleshoot, and resolve problems that may exist in cloud-hosted environments
Ensure that cybersecurity controls are met or exceeded
Creation of Azure CLI and/or PowerShell scripts to automate repetitive tasks
Willingness and ability to take a “code first” approach to fully automate the deployment and management of cloud infrastructure and environments using Terraform, Chef, Azure DevOps, Azure Policy and other tools
While embedding with teams, strategize, consult, and prototype alongside other engineers to implement best practices and solutions for applications utilizing CI/CD and the cloud
Evangelize distributed version control and trunk-based development practices, ATDD and TDD, pipelines and infrastructure and release automation
Knowledge and experience provisioning and managing Azure Managed Identities, Service Principal Names (SPNs) and Enterprise Applications in Azure
Help determine technical feasibility and solutions for business requirements
Able to lead training sessions, develop curriculum, and code labs for other internal teams under general supervision
Willingness to instruct and coach in a cross-team cloud training program as needed
Be SME and expert across the business for all Cloud technical hands-on questions, with an initial focus on Azure
Ability to facilitate group meetings/discussions
Ability to broker solutions for issues within the team
Be available for an on-call rotation to participate in troubleshooting and communication efforts outside of normal business hours
Create and implement standards and best practices, driving adoption across development teams and external vendors as applicable

What makes you an ideal candidate?

Software development expertise in multiple high-level programming and scripting languages such as C#, Java, node.js python or other languages determined by the department VP
General knowledge of Azure Kubernetes Service or Native service including deployments
Understanding of IP Networking, subnets, ports, CIDR notation and DNS
Experience in designing, building, and optimizing automated pipelines with automated testing and automated security controls
Understanding of basic requirements for securing virtual machines in the cloud in including the use of strong passwords, port closure and other industry-standard hardware techniques
Help establish and maintain a culture of learning through the development and sharing of skills, knowledge, process and tools; combat traditional silos that create “us and them” environments
A driving passion for finding solutions to hard problems at scale and operationalizing them
Exceptional critical thinking and communication skills, with a passion for leveraging documentation as a tool for constant improvement
Pipeline Automation: Azure DevOps (YAML, ARM), Terraform, Jenkins, Chef, Octopus Deploy or other similar tools
Code Scanning: use of tools such as SonarQube, Checkmarx, Kube-Bench, or similar
Source Code repos: User level and demonstrated knowledge of Git including cloning, branching and other regular commands
Experience with one or more of the following: Azure Eventhub, Azure Virtual Machines, Azure Kubernetes Service, Blob Storage, Azure DNS, Virtual Networks, Redis Cache and Azure App Service, Azure Kubernetes Service
Ability to navigate the Linux operating system and perform basic operations
High-level programming languages: Java, C#, Python, Go, or similar
Scripting: PowerShell, Bash
Database Technologies (one or more of the following): Oracle, Microsoft SQL Server, NoSQL (eg CosmosDB)
Test Automation: Understanding of unit testing tools such as junit, nunit, or similar
Operating systems: Windows, Linux
Cloud Platforms (one or more of the following): Azure, Amazon AWS, GCP
Metrics and Monitoring: Splunk, or other SIEM tool
Demonstrated knowledge of secrets management in the cloud using solutions such as Hashicorp Vault or Azure Key Vault
Advanced knowledge of cloud security frameworks and tooling such as Azure Policy or Azure Security Kit

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
Experience with AI assisted software development or automation
Knowledge of prompting techniques to improve output quality
Awareness of emerging GenAI capabilities and limitations

Work Experience and Education

2-4 years of progressive IT experience with specific experience in cloud software development, test automation, system administration, infrastructure/operations or equivalent training required
Experience in cloud with at least one year of project experience with Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP) strongly preferred
Experience working in Agile Scrum teams preferred
High School Diploma or equivalent required
Bachelor’s Degree in related field or additional equivalent work or military experience required
Master’s Degree in related field preferred

Licenses and Certifications

Current Azure Developer Associate or Azure Administrator certification or equivalent AWS or GCP certification 180 Days required

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: 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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