Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid in Cambridge

Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid in Cambridge

Cambridge Full-Time 63000 - 77000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and evolve cloud, data, and AI infrastructure for a genomics-first platform.
  • Company: Quotient Therapeutics, a leader in innovative healthcare solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a dynamic team of experts and drive innovation in the biotech field.
  • Why this job: Lead cutting-edge projects in AWS and AI, making a real impact in healthcare.
  • Qualifications: Experience in cloud engineering, data systems, and AI/ML workloads.

The predicted salary is between 63000 - 77000 Β£ per year.

Quotient Therapeutics seeks a Senior Engineer for the Data Infrastructure team to design and evolve our cloud, data and AI infrastructure underpinning our genomics-first platform.

You will lead AWS platform engineering, data systems and AI/ML workloads, collaborating with cloud and data engineers, bioinformaticians and scientists to deliver secure, scalable solutions.

This is a senior IC role with technical leadership and accountability.

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Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid in Cambridge employer: Flagship Pioneering

Quotient Therapeutics is an exceptional employer located in the vibrant city of Cambridge, UK, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including leadership development and access to cutting-edge technologies in genomics. With a commitment to high-quality research and a supportive environment, Quotient Therapeutics stands out as a place where passionate professionals can thrive and make a meaningful impact in the field of somatic genomics.

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Contact Details:

Flagship Pioneering Recruitment Team

We think you need these skills to ace Senior Cloud Data Infra Engineer β€” AWS & AI, Hybrid in Cambridge

AWS Platform Engineering
Cloud Infrastructure Design
Data Systems Development
AI/ML Workloads Management
Collaboration with Engineers and Scientists
Technical Leadership
Accountability in Project Delivery