At a Glance
- Tasks: Build and scale Kubernetes infrastructure for machine learning and data science projects.
- Company: Hlx Life Sciences, a leader in innovative life sciences technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and make a real impact on cutting-edge ML initiatives.
- Qualifications: Experience with Kubernetes, cloud environments, and a passion for data science.
Hlx Life Sciences is seeking an Engineer in the Platform Team to help build and scale infrastructure powering machine learning and data science initiatives. You will design and maintain high-performance systems across a hybrid cloud environment, collaborating with cross-functional teams to ensure reliability, scalability, and efficiency.
Responsibilities include Kubernetes-based infrastructure across private/public clouds, API and service development, CI/CD enhancement, and security practices.
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Kubernetes Platform Engineer for ML & Data Science employer: Hlx Life Sciences
Hlx Life Sciences is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal environment for those passionate about advancing drug design and discovery. Join us to be part of a forward-thinking team dedicated to impactful scientific breakthroughs.
