Software Engineer
Job description
About us
Owkin is an AI biotechnology company that uses AI to find the right treatment for every patient. We combine the best of human and artificial intelligence to answer the research questions shared by biopharma and academic researchers. By closing the translational gap between complex biology and new treatments, we bring new diagnostics and drugs to patients sooner.
Owkin has raised over $300 million and became a unicorn through investments from leading biopharma companies (Sanofi and BMS) and venture funds (Fidelity, GV and BPI, among others).
Owkin is seeking the best and brightest to join our fast-growing and dynamic team.
About the role:
As a Platform Engineer in the Research Platform team at Owkin, you will be at the heart of our mission to accelerate research at scale. You will contribute to building and maintaining a robust research platform that enables our data scientists and researchers to focus on what matters most - advancing scientific discoveries.
In particular, you will:
- Designing, implementing, and maintaining cloud-based infrastructure and services on AWS, with a focus on SageMaker and other machine learning tools
- Contributing to the evolution of our platform architecture to support emerging needs in AI/ML research, federated learning, and large-scale data processing
- Collaborating with researchers and data scientists to understand their needs and implement solutions that enhance their productivity
- Supporting and improving our CI/CD pipelines, development workflows, and security practices
- Participating in incident response and platform support to ensure high availability and reliability
Impact on stakeholders:
- For researchers: You'll help create an efficient, user-friendly environment that accelerates their work and enables them to focus on scientific innovation rather than infrastructure challenges
- For engineering teams: You'll provide robust platform capabilities and best practices that enable scalable and efficient development of features
- For the organization: You'll contribute to maintaining high security standards and operational efficiency while supporting Owkin's mission to transform medical research
This role offers the opportunity to work at the intersection of cloud computing, machine learning infrastructure, and software engineering.
Position is based in our Paris, Nantes or London offices or remotely in France and UK.
About you
More than a list of requirements, we are looking for a skilled individual able to mobilize their experience to deliver value as part of a team. Autonomy in learning and delivering is valued as much as being able to embrace the culture and processes.
Required:
- Significant experience as software or cloud engineer: this is an intermediate level position
- Full professional proficiency in English: our team is distributed across Europe, English is the lingua franca.
- Demonstrated attention to quality and software engineering processes: we run what we build and reliability is one of our team’s value
- Experience with either Python or Golang: those are the most widespread languages in the company
- Experience with terraform and AWS services: we manage our infra as code
- Familiar with Kubernetes and OCI: all services and payloads are running on Kubernetes, across multiple clusters
Preferred qualifications/bonus:
- Experience with MLOps practices
- Experience with platform engineering
Please submit your CV in English
#LI-MD1
What we offer
- Flexible work organization
- Friendly and informal working environment
- Opportunity to work with an international team with high technical and scientific backgrounds
Recruitment Process & Security
- Please complete the form and submit your CV.
- Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
- Owkin is a great place to work. Unfortunately, being a coveted workplace means we are vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:
- Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.
- Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or though our applicant tracking system (Greenhouse).
- The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.
- The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;
- Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger
- Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.
If you think that you have been a victim of fraud,
- Check the identity of the talent team on LinkedIn.
- Check the existence of the position on our website https://owkin.com/hiring
- Notify Owkin's recruitment unit at this address hiring@owkin.com
- contact the following authorities:
Required profile
Experience
Other Skills
- Collaboration
- Reliability
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