• Job Description

  Req#: E0F1F3EEF9
  Employer Industry: Scientific Data and AI Solutions
  
  Why consider this job opportunity:
  - Opportunity for career advancement and growth within the organization
  - 100% employer-paid benefits for all eligible employees and immediate family members
  - Unlimited paid time off (PTO)
  - Flexible working arrangements, including remote work options
  - Chance to work with cutting-edge technology in the AI and scientific data sector
  - Collaborative work environment with a focus on innovation and client satisfaction
  
  What to Expect (Job Responsibilities):
  - Collaborate with product and engineering teams to enhance the lifecycle of products from design to operation
  - Work closely with clients to deploy and troubleshoot products in their AWS environments
  - Develop CloudFormation templates, Terraform modules, and Python scripts to automate processes
  - Manage internal AWS environments and network, ensuring stability, security, and scalability
  - Maintain up-to-date documentation on deployments, processes, and standard operating procedures
  
  What is Required (Qualifications):
  - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  - Minimum of 5 years of professional experience as a DevOps Engineer or in a similar role
  - Extensive experience with Amazon Web Services (AWS), including AWS certification
  - Proficiency in at least one programming language, such as Python, Java, or Go
  - Strong proficiency in infrastructure-as-code (IaC) tools, preferably CloudFormation
  
  How to Stand Out (Preferred Qualifications):
  - Good understanding and practical experience using and deploying AI (ML, LLMs)
  - Experience with cloud-native CI/CD workflows and tools, such as GitHub Actions or AWS CodeDeploy
  - Familiarity with microservices architecture, containerization, and orchestration tools like Docker and Kubernetes
  - Solid understanding of Linux basics, networking fundamentals, and security best practices
  
  #ScientificData #DevOps #AWS #AI #RemoteWork
  
  We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
  We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

• About the company

  The Tetra R&D Data Cloud combines the industry’s only cloud-native data platform built for global pharmaceutical companies, with the power of the largest and fastest growing network of Life Sciences innovation partners, and deep domain knowledge, to de...

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