Ridecell, Inc. is a leading provider of fleet orchestration solutions for fleet and leasing management. The Ridecell 360 fleet industry cloud provides data-driven intelligence and automation solutions to modernize and optimize fleet businesses. Ridecell 360 uncovers blind spots and orchestrates improvements throughout the business and vehicle lifecycle to enable a superior customer experience.

Today, Ridecell powers some of the most successful fleet businesses in cities across Europe and North America, including Arval, Merchants Fleet and KINTO by Toyota Sweden. Ridecell is headquartered in San Francisco, California, with offices in Tokyo, Paris, Bordeaux, Berlin, and Pune, India.

For more information, visit www.ridecell.com

Location: Bordeaux, France
Type: Full-Time
Team: Engineering / DevOps

About the Role

We’re hiring a DevOps Engineer to take ownership of our deployment pipeline and cloud infrastructure. In this role, you’ll drive the scalability, reliability, and automation of our systems. From managing CI/CD to provisioning infrastructure as code, you’ll help us move faster and more safely as we grow.

What You’ll Do

• Build, manage, and optimize CI/CD pipelines for fast, safe, and repeatable deployments.
• Define and manage infrastructure using infrastructure-as-code (IaC) tools (e.g., Terraform, Pulumi).
• Automate deployments across environments with a focus on resilience and rollback safety.
• Maintain and scale our cloud infrastructure (AWS, GCP, or Azure) to support high availability and performance.
• Implement monitoring, alerting, and logging to ensure observability and proactive incident response.
• Collaborate with engineering teams to ensure DevOps practices are embedded across the SDLC.

What We’re Looking For

• 3+ years of experience in DevOps, Site Reliability, or Infrastructure Engineering roles.
• Proven experience with CI/CD tools (e.g., GitHub Actions, CircleCI, Jenkins).
• Strong proficiency with IaC frameworks (Terraform, CloudFormation, or similar).
• Experience managing and scaling cloud-native environments (AWS, GCP, or Azure).
• Deep understanding of deployment automation and best practices around zero-downtime releases.
• Familiarity with observability tools (e.g., Prometheus, Grafana, Datadog, ELK stack).

Nice to Have

• Experience with containerization and orchestration (Docker, Kubernetes).
• Familiarity with security and compliance best practices.

Background in performance tuning and cost optimization in cloud environments.

React, GO, Python, Django, PostgreSQL, AWS, GCP Android: Kotlin, Java iOS: Swift AWS Lambda