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Open nowPosted 31 hours ago

Cloud Engineer – AWS Foundation Platform

Stellantis241 open roles

Where
Auburn Hills, MI, USA
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Your applicationOpen nowCloud Engineer – AWS Foundation PlatformStellantis · Auburn Hills, MI, USA

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  2. CV RocketCV written for this posting.

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  4. CV RocketApplied on Stellantis's own form.

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. Stellantis postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 31 hours ago

Stellantis median: 1 days open

The posting

Stellantis is seeking a skilled and motivated Cloud Engineer to reinforce and support the design, implementation, and continuous improvement of our AWS Foundation Product — an AWS Landing Zone governing 1,500+ AWS accounts distributed across all Stellantis business functions and geographies (NAFTA, LATAM, Europe, EMEA, and APAC). As a Cloud Engineer, you will collaborate with cross-functional teams — including SecOps, FinOps, platform consumers, and global infrastructure teams — to build reusable platform components, drive DevOps maturity, and operate the AWS organizational layer as a product. AI tools are an integral part of daily engineering practice in this team.

Key Responsibilities:

  • Design and implement end-to-end automation of the AWS account lifecycle — provisioning, configuration, baselining, and decommissioning — achieving zero-touch operations at scale using Lambda, Step Functions, and EventBridge..
  • Build and maintain a self-service cloud platform (account vending machine, network factory, identity federation) enabling application teams to onboard and operate autonomously, backed by an Internal Developer Portal with AI-powered capabilities.
  • Own Infrastructure as Code (IaC) delivery pipelines across 1,500+ accounts using Terraform, enforcing GitOps practices, policy-as-code, drift detection, and automated testing at every stage.
  • Define and operate SLOs, Error Budgets, and an observability stack with AI-assisted anomaly detection across provisioning, cost, network, and security signals — enabling predictive operations rather than reactive firefighting.
  • Manage AWS Control Tower, Organizations, and Service Control Policies (SCPs), enforcing governance, least-privilege IAM, and compliance guardrails with automated self-healing when drift is detected.
  • Apply AI tools as a standard daily practice for IaC authoring, automation scripting, test generation, incident analysis, and runbook maintenance — maintaining full engineering ownership of all generated outputs.
  • Lead post-mortems and translate every incident into systemic engineering improvements; maintain runbooks and playbooks as versioned, executable artifacts.

Basic Qualifications:

  • Bachelor’s degree in computer science, Information Technology, or related field.
  • Minimum 5 years of experience designing, deploying, and managing AWS cloud environments at enterprise scale in multi-account contexts.
  • Expertise in AWS multi-account services: AWS Control Tower, Organizations, Service Control Policies, and Landing Zone design patterns.
  • Expert-level Terraform and/or AWS CDK for Infrastructure as Code; GitOps delivery pipelines with drift detection and policy gates (GitHub Actions, GitLab CI…).
  • Proficiency in Python and/or Typescripts for building platform tooling, internal CLIs, automation services, and event-driven workflows (Lambda, Step Functions, EventBridge…).
  • Daily use of AI coding assistants (GitHub Copilot, Claude Code, Codex …) with demonstrated ability to review, validate, and own AI-generated code at production quality.
  • Solid understanding of DevOps and SRE practices: DORA metrics, SLOs, error budgets, incident management, policy-as-code, and blameless post-mortem culture.
  • Strong knowledge of AWS networking: Transit Gateway, VPC design, Route 53, Direct Connect, and PrivateLink.
  • Experience with AWS security services: Security Hub, GuardDuty, Config Rules, IAM design, and automated compliance remediation.
  • AWS Certifications preferred: DevOps Engineer Professional, Solutions Architect Professional, or Security Specialty.
  • Familiarity with AIOps and AI/ML platform services (Amazon Bedrock, SageMaker, Amazon Q Business, DevOps Guru) is a strong plus.
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