Dev Ops Engineer (Ref.5179)

Company Overview

Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions.

Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate.

Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game‑changing partnerships are driving our transformation to a sustainable mobility tech company.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.

With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.

Job Description

Mobilisights, a Data-as-a-Service Business Unit of Stellantis, enables customers to leverage connected vehicle data, machine learning, and advanced analytics to build innovative products and services. We combine the scale of a global industrial leader with the agility of a startup.

We are looking for a Senior DevOps / MLOps Engineer to design, build, and operate scalable, secure, and automated platforms supporting data engineering, machine learning, and AI workloads in production.

Key Responsibilities

• Design and operate DevOps and MLOps platforms.
• Build CI/CD and ML pipeline templates.
• Automate ML lifecycle from training to deployment and monitoring.
• Manage Kubernetes and cloud infrastructure.
• Enforce security, compliance, and IaC standards.
• Improve reliability, scalability, and observability.
• Participate in on‑call rotation and incident response.

By submitting your application, you are accepting our privacy notice:

Qualifications

• Bachelor's degree or equivalent experience.
• 7+ years experience in DevOps / Platform Engineering.
• Strong AWS experience (EC2, EKS, Lambda, VPC, IAM, S3).
• Kubernetes and Terraform expertise.
• CI/CD experience (GitLab, GitHub Actions).
• Python and scripting skills.

MLOps Skills (Preferred)

• ML platforms (MLflow, Kubeflow, SageMaker, Bedrock).
• Model serving, monitoring, and drift detection.
• Data pipelines and ML governance.

Certifications (Preferred)

• AWS Solutions Architect.
• Kubernetes certifications.

Mindset

• Ownership and autonomy.
• Passion for automation and AI platforms.
• Strong collaboration and communication skills.

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.

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