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

We are looking for a passionate Cloud Engineer, ready to design, build and maintain our workflows and infrastructure with security in mind

Your role

Write elegant and expressive code using the latest language features.
Keep our services reliable, available, fast, and cost-efficient.
Build tools and production frameworks to make our engineering team’s lives easier.
Respond to, investigate, and fix service issues.
Design, build and maintain the infrastructure we need to support our data pipelines.

Preferred Experience

Your profile

You have worked in a cloud-native or multi-cloud environment (Azure, AWS, GCP).
You value correctness and efficiency; you leave no stone unturned when diagnosing issues.
You have significant backend programming experience.
You value code simplicity, performance, and details.
You enjoy partnering with other engineers and solving difficult problems.
You are enthusiastic about security and you would be proud to contribute to a safer cyberspace.

Bonus skills

You have shipped complex projects with teams of engineers.
You have contributed to building data pipelines.
You are familiar with running medium/large scale distributed compute/storage tools in production, (Kubernetes, PostgreSQL, Kafka, Elasticsearch, Redis).
You have experience with Terraform, Ansible, Chef, Packer, Vault, PostgreSQL, Elasticsearch.
You are fluent in Python or Golang.

Benefits of working at Qantev

You'll join a highly skilled and motivated team that is willing to share their knowledge and passion for advanced data science, machine learning and computer science. Develop a deep understanding of the health insurance industry. In addition to this we provide: