Staff DevOps Engineer
Company
Valo Health
Location
Remote
Type
Full Time
Job Description
About Us
Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we.
We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us?
About the role
We are looking for a Staff DevOps engineer to help manage and develop the AWS Cloud infrastructure for our Data Science and Machine Learning environments. A successful candidate should be equally adept in handling day-to-day problems encountered by our users, perform sysadmin tasks, as well as able to see the larger picture and incrementally change our infrastructure to lower our overall operational costs and improve user experience.Â
What You'll Do...
- Handle a ticket duty to resolve user problems in an AWS Cloud-based environment.Â
- Able to extract the general shapes of problems based on ad hoc tasks and find a technical path to automate away repetitive tasks
- Create tools and processes to incrementally allow self-service by users to decrease the overall support burden and empower usersÂ
What You Bring...
- Proficient in Python, shell scripting
- Proficient in administering AWS environments: Linux EC2 instances, Storage options, general networking and security best practices, basic cost optimization strategies, and EKS clusters,.Â
- Comfortable with Software Engineering best practices such as the use of source control systems (specifically Git), code review, automated testing, and CI/CD pipelines
- Experience with deploying and managing container-based services
- Experience with GitLab, including the deployment and administration of a self-managed GitLab server (with GitLab CI)
- General experience about deploying a broad range of servers or services, or ability to quickly learn the basics about something new (RDBM, MLflow, Prefect, Spark cluster, etc.)
- Familiar with infrastructure as code, automation of cloud deployment, and blueprints (e.g. Terraform, Pulumi)Â
More on Valo
Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering and headquartered in Lexington, MA, Valo also has offices in New York, NY. To learn more, visit www.valohealth.com.
Date Posted
12/10/2024
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0
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