Cloud Platform Engineer
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Job Location:
Monthly Salary:
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
About Apheris
At Apheris we are building the future of how AI is applied in pharmaceutical R&D.
Our federated computing technology enables global pharma companies to collaborate securely on large AI models that accelerate drug discovery without ever sharing their proprietary data. By powering multi-partner data networks across small molecules antibodies and protein folding Apheris is redefining how science and AI intersect.
We currently host two flagship networks: theAI Structural Biology (AISB) Network focused on protein co-folding and binding affinity prediction and theADMET Network focused on small-molecule property addition we have just launchedApherisFold an enterprise co-folding application that enables pharma teams to deploy cutting-edge models such as OpenFold 3 and Boltz-2 directly within their own environments.
We are scaling rapidly and are now at a stage where professional well-structured people processes are critical to sustaining execution quality team health and culture as we grow.
Our federated computing technology enables global pharma companies to collaborate securely on large AI models that accelerate drug discovery without ever sharing their proprietary data. By powering multi-partner data networks across small molecules antibodies and protein folding Apheris is redefining how science and AI intersect.
We currently host two flagship networks: theAI Structural Biology (AISB) Network focused on protein co-folding and binding affinity prediction and theADMET Network focused on small-molecule property addition we have just launchedApherisFold an enterprise co-folding application that enables pharma teams to deploy cutting-edge models such as OpenFold 3 and Boltz-2 directly within their own environments.
We are scaling rapidly and are now at a stage where professional well-structured people processes are critical to sustaining execution quality team health and culture as we grow.
About the role
As a Cloud Platform Engineer at Apheris you design implement and operate the cloud infrastructure that powers both our internal engineering workflows and customer deployments. You will ensure our systems are reliable maintainable and easy for engineers and customers to operate.
Cloud Platform Engineers are an integral part of delivering successful outcomes for Apheris customers. You will frequently collaborate with customers infrastructure and cloud engineering teams to support deployments troubleshoot issues and ensure successful operation of the Apheris platform.
Cloud Platform Engineers are an integral part of delivering successful outcomes for Apheris customers. You will frequently collaborate with customers infrastructure and cloud engineering teams to support deployments troubleshoot issues and ensure successful operation of the Apheris platform.
What you will do
- Work with our engineering teams to refine and enhance our IaC setups CI/CD systems and GitOps systems
- Improve and automate our customer deployment processes continuously removing friction and enabling reliable repeatable platform installations
- Collaborate closely with clients cloud or infrastructure engineers to address technical questions regarding Apheris application deployments
What we expect from you
- You have 3 years of relevant experience along with a bachelors degree in Computer Science or a related field (e.g. Physics Mathematics Engineering)
- You have hands-on experience with container orchestration (e.g. Kubernetes) and at least one major cloud provider (AWS Azure GCP or OpenStack)
- You have experience with infrastructure and deployment automation tools such as Helm Terraform or similar tools.
- You communicate clearly in English (written and spoken) and can collaborate effectively with external stakeholders such as customers cloud platform teams
- You enjoy working closely with engineers and end users and are motivated by solving challenging technical problems
Nice to have
- Experience with High Performance Computing (HPC) scientific computing environments or platform engineering
- You have experience working in regulated industries such as Pharma Life Sciences or Financial Services
- You have worked with on-premise Kubernetes deployments (e.g. k3s)
What we offer you
- Industry-competitive compensation includingearly-stage virtual share options
- Remote-first working work where you work best whether from home or a co-working space near you
- Great suite of benefits including a wellbeing budget mental health benefits a work-from-home budget a co-working stipend and a learning and development budget
- Generous holiday allowance
- Office Daysat our Berlin HQ or a different European location(3x a year)
- A fun diverse team of mission-driven individuals withexperience across leadingorganizationsanda drive to see AI and ML used for good
- High impact significant ownership and the opportunity to shape howApherisscales its people and culture over the next phase of growth
Logistics
Our interview process is split into three phases:
- Initial Screening: If your application aligns with our requirements well invite you to a 45minute video call to explore mutual fit. This conversation is an opportunity for you to learn more about us and the role while the interviewer will focus on your relevant experience and skills. Youll also have time to ask any questions you may have about the company or position.
- Presentation & Deep Dive: Prior to the session youll complete a short take-home the follow-up session youll walk our team through how you approached the problem and the decisions you made along the way. Well use the discussion to understand your problem-solving process technical depth and how your past experiences align with the challenges of the role.
- Final Interview: In the final round youll meet several team members youre likely to work with closely. This conversation focuses on our culture collaboration style and what its like to be part of the team the second part youll meet with one of our founder talking about our culture and collaboration style.
Required Experience:
IC
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
About Company
Build ML-powered products using data that spans organizational or geographical boundaries, while ensuring compliance with regulation.
