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DevOps Engineer

Qantev is hiring!

About

Qantev is an AI company that helps health insurers deliver better healthcare to their members.

They do that by leveraging insurers’ historical health claims data and by applying Machine Learning techniques and Generative AI to predict patient journeys.

They are backed by top investors and industry leaders, and have customers all across the world (Europe, USA, LATAM, Asia and the Middle East).

They are a growing team of talented, enthusiastic, and diverse professionals. As an early hire, you will have an unparalleled opportunity for ownership and growth within the company.

Job Description

About the Role

We are looking for a Senior DevOps Engineer to join our engineering team and drive the scalability, performance, and reliability of our infrastructure. You will play a critical role in building and maintaining a modern DevOps stack that powers real-time & batch data processing, distributed systems, and machine learning pipelines.

You will be responsible for infrastructure automation, monitoring, deployment pipelines, and ensuring high availability for mission-critical services in production.

Key Responsibilities

  • Design, build, and manage cloud infrastructure (AWS/GCP/Azure) using IaC tools (Terraform, etc.)

  • Deploy and manage Kubernetes clusters and workloads across environments.

  • Set up and manage Apache Kafka clusters for event-driven architectures.

  • Develop and maintain CI/CD pipelines for backend services, data pipelines, and ML workflows.

  • Support & Maintain Airflow DAGs for data and task automation across environments.

  • Optimize system performance and ensure infrastructure reliability, scalability, and security.

  • Implement observability solutions: logging, monitoring, alerting (e.g., Prometheus, Grafana, ELK, Loki, Sentry).

  • Work with development, data, and ML teams to ensure smooth integration and deployments.

  • Mentor junior DevOps or SRE engineers and contribute to infrastructure roadmap.

Preferred Experience

Required Qualifications

  • 5+ years of hands-on experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering.

  • Deep expertise with Kubernetes, including Helm, operators, and managing multi-cluster environments.

  • Strong experience with Kafka setup, tuning, and monitoring in production.

  • Experience with maintaining & supporting Apache Airflow deployments..

  • Proficiency in CI/CD pipelines using tools like GitHub Actions, GitLab CI, ArgoCD, Jenkins, or Spinnaker.

  • Strong scripting and automation skills (Python, Bash, Go, etc.).

  • Experience with Terraform, Ansible, or other infrastructure-as-code tools.

  • Familiarity with containerization (Docker) and cloud-native tooling.

  • Solid understanding of networking, security best practices, and distributed system operations.

  • Bonus Qualifications

    • Experience in a cloud-native environment with autoscaling & service meshes.
    • Hands-on experience with ML Ops infrastructure or data platform operations.

Recruitment Process

Recruitment process

  • Pre-selection interview (30min)

  • Case study (1h to 2h)

  • Interviews with the hiring manager, the head of department, a member of the team and the CEO. (45min)

Additional Information

  • Contract Type: Full-Time
  • Location: Paris
  • Experience: > 3 years
  • Possible partial remote
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