Manager, Cloud Platform Engineering

American Credit AcceptanceMeridian, ID
Onsite

About The Position

Manager of Cloud Platform Engineering American Credit Acceptance is seeking a forward-thinking leader to build and operate a modern, AI-enabled Cloud Platform Engineering organization that powers every application, workload, and engineering team in the company. This role owns the strategy and execution of our AWS cloud platform, DevOps, SRE, Infrastructure as Code, and Internal Developer Platform—while introducing practical, responsible use of AI to accelerate engineering, automation, operations, and reliability. You will lead a team of AWS Architects, DevOps Engineers, and Platform Engineers responsible for the design, governance, automation, security, reliability, cost efficiency, and intelligent operation of our AWS ecosystem. You are not simply maintaining infrastructure. You are: The owner of the AWS platform The governor of Infrastructure as Code and GitOps standards The builder of an Internal Developer Platform that engineers utilize fully The bridge between Engineering, Security, Networking, and Business Operations The leader introducing AI-assisted engineering and operations into platform workflows The architect of what “next-generation” Platform Engineering looks like You will have high autonomy to define platform strategy, tooling, standards, and operating models that scale with the business and prepare ACA for an AI-driven engineering future. Your Mission is to Lead & Elevate the Platform Engineering Culture Build a culture grounded in ownership, automation, reliability, and engineering excellence. Introduce AI-assisted development, operational automation, and intelligent troubleshooting into daily engineering practices. Own the AWS Cloud Platform Be accountable for the architecture, administration, governance, and operational excellence of our AWS environment including multi-account strategy, networking, security boundaries, resiliency, observability, and compliance. Architect the Internal Developer Platform Create paved roads, reusable patterns, golden paths, and self-service capabilities that improve developer productivity while enforcing standards for security, compliance, and reliability. Champion Infrastructure as Code, GitOps, and Intelligent Automation Define and enforce enterprise standards for Terraform / CloudFormation, GitHub Actions, and Git-driven infrastructure workflows. Embed AI into CI/CD, testing, code quality, and operational runbooks. Introduce AI into Platform Operations Leverage AI for: Log and telemetry analysis Automated remediation and runbook execution Capacity planning and cost optimization insights Developer assistance for pipelines, IaC, and cloud patterns Establish Cloud Governance & Financial Accountability Partner with Finance and Engineering leadership to implement cost visibility, chargeback models, capacity planning, and cloud guardrails that enable fast innovation with responsible consumption. Standardize Observability, Reliability, and Operations Drive standards for monitoring, logging, distributed tracing, SRE practices, and operational readiness across all platforms and applications. Bridge Engineering, Infrastructure, Security, and Networking Ensure alignment between application engineering teams and the cloud, network, and security architecture required to support them.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5+ years of leadership experience managing DevOps, SRE, Cloud Engineering, or Platform Engineering teams.
  • 3+ years of experience owning and operating AWS platforms supporting mission-critical applications.
  • Deep expertise in AWS architecture and administration, including: EC2, EKS, ECS, S3, RDS, DynamoDB, Lambda VPC design, Transit Gateway, Route 53, Load Balancers, NAT, PrivateLink IAM, Organizations, Control Tower, SCPs, KMS, Secrets Manager CloudWatch, CloudTrail, Config, GuardDuty, Security Hub
  • Strong experience implementing and governing Infrastructure as Code using Terraform and/or CloudFormation.
  • Enterprise-level proficiency administering GitHub Actions, GitHub Enterprise, and GitOps workflows.
  • Experience with Kubernetes (EKS), Docker containers, and cluster operations.
  • Experience with JFrog Artifactory or similar artifact repositories.
  • Strong understanding of TCP/IP, DNS, CDN, HTTP, WAF, OAuth, SAML, SCIM.
  • Experience implementing observability platforms across logs, metrics, traces, and infrastructure telemetry.
  • Familiarity with static and dynamic code analysis tools such as SonarQube, EndorLabs, StackHawk, or similar.
  • Practical exposure to AI-assisted engineering tools and interest in applying AI to DevOps and platform operations.
  • Experience in regulated environments (financial services preferred).

Responsibilities

  • Lead, mentor, and grow a team of AWS Architects, SREs, DevOps, and Platform Engineers.
  • Define and maintain the AWS multi-account architecture, network topology, and cloud governance model.
  • Own administration and operational excellence of AWS including identity, networking, compute, storage, and security services.
  • Establish enterprise standards for Terraform/CloudFormation, GitHub Actions, and GitOps workflows.
  • Design and operate the Internal Developer Platform including CI/CD templates, reusable modules, and golden paths.
  • Standardize Kubernetes (EKS) cluster architecture, operations, and lifecycle management.
  • Drive automation for Windows and Linux server provisioning and configuration.
  • Implement AI-assisted practices for incident analysis, log analysis, and operational troubleshooting.
  • Implement and govern observability, monitoring, alerting, and incident response practices.
  • Partner with Security to embed vulnerability management and compliance into platform workflows.
  • Lead cloud cost optimization, capacity planning, and financial accountability initiatives.
  • Evaluate and introduce new tools and technologies that improve platform reliability and developer productivity.
  • Collaborate with application teams, QA, networking, and business units to align platform capabilities with business needs.
  • Serve as a thought leader and evangelist for modern, AI-enabled Cloud Platform Engineering.
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