Cloud Engineer – AWS Foundation Platform

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 Sec Ops, Fin Ops, platform consumers, and global infrastructure teams — to build reusable platform components, drive Dev Ops 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 Event Bridge..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 Git Ops 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;
Git Ops delivery pipelines with drift detection and policy gates (Git Hub Actions, Git Lab CI…).Proficiency in Python and/or Typescripts for building platform tooling, internal CLIs, automation services, and event-driven workflows (Lambda, Step Functions, Event Bridge…).Daily use of AI coding assistants (Git Hub Copilot, Claude Code, Codex …) with demonstrated ability to review, validate, and own AI-generated code at production quality.

Solid understanding of Dev Ops 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 Private Link.

Experience with AWS security services:
Security Hub, Guard Duty, Config Rules, IAM design, and automated compliance remediation.

AWS Certifications preferred:
Dev Ops Engineer Professional, Solutions Architect Professional, or Security Specialty.

Familiarity with AIOps and AI/ML platform services (Amazon Bedrock, Sage Maker, Amazon Q Business, Dev Ops Guru) is a strong plus.

Our Benefits — Designed with You in Mind Comprehensive Health & Well-being Coverage…