A better internet, where privacy is the default, is possible. Building this better internet might seem daunting or even unthinkable, but at Proton, this is what we do every day.
Proton was founded in 2014 by a group of scientists who met at the European Organization for Nuclear Research (CERN). Our first product, Proton Mail, is now the world’s largest encrypted email service. Subsequent Proton products, such as Proton VPN, Proton Calendar, Proton Drive and Proton Pass give our users full control over how and with whom their data is shared.
Journalists from outlets likeThe GuardianandThe New York Times, some of the world’s largest organizations, and people in more than 180 countries have signed up for over 100 million accounts. While we are based in Geneva, Switzerland, we have offices in Zurich, Prague, London, Vilnius, Skopje, Taipei, Paris, Barcelona and many more employees working remotely around the world.
Join one of Europe’s fastest-growing companies to help us solve challenging problems and build new products that will reach hundreds of millions of people. We want to create more than just one of the world’s most impactful tech companies;
we want to createa newinternet that serves the interests of all people. In order to move fast with limited resources, we are organized into autonomous teams responsible for the whole system, with expertise across infrastructure, data storage, backend, web and mobile apps, machine learning, security and operational excellence. As an ML Operations Engineer at Proton, you will be at the forefront of maintaining the operational excellence of our machine learning and anti-abuse systems. Your responsibilities will include the research, development, stress testing, and rollout of new services and infrastructure. You will collaborate with Software and ML Engineers to ensure that systems have comprehensive logging, monitoring, alerting, and on-call capabilities. Your expertise in debugging and problem-solving will be essential in addressing issues that arise in production environments.
Research, develop, stress test, and roll out new services and infrastructure.
Collaborate with engineers to implement logging, monitoring, alerting, and on-call capabilities.
Debug and resolve production issues efficiently.
Manage and monitor production systems involving in-house developed solutions.
Deploy, run, and maintain machine learning systems in production environments.
Utilize Docker for containerization and efficient deployment.
Implement and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines.
Strong expertise in infrastructure automation tools (Puppet, Terraform, OpenNebula, Kubernetes).
Proficient in scripting languages (Bash, Python).
Experience in managing and scaling data storage solutions, particularly MySQL, Kafka, and ElasticSearch.
Familiarity with Dask and Airflow for data processing and workflow orchestration.
Solid experience with CI/CD pipelines for automated deployments.
Hands-on experience with Docker for containerization.
Ability to operate in a fast-paced environment with a global team and participate in on-call rotations.
Excellent communication skills in English, both written and spoken.
Past experience in running ML systems in a production environment.
Be part of a movement - Proton is not just a product or service but a community-driven movement united by a shared vision of online freedom. Join a strong brand - Our encrypted email service - ProtonMail - has grown to be a staple of online security and privacy. Proton has been featured in multiple popular television and film productions, such as Mr. Robot, Knives Out, Sounds of Metal, and more.
Benefits – these vary by location and type of contract but expect support on your vacation, parental leave, refreshment if working from the office, learning and development opportunities, equity for shared success, adaptable working hours and remote work, company events and team building activities.