Full-Time

Senior Devops Engineer

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

AI & Machine Learning
Biotechnology
Healthcare

Senior

Boston, MA, USA

Flexible working arrangements - Remote work + office as needed.

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Kubernetes
Python
Java
Docker
CloudFormation
AWS
Go
Jenkins
Development Operations (DevOps)
Linux/Unix
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience.
  • At least 5 years of professional experience as a DevOps Engineer or in a similar role.
  • Extensive experience with Amazon Web Services (AWS), including AWS certifications.
  • Strong proficiency in infrastructure-as-code (IaC) tools, preferably CloudFormation.
  • Proficiency in at least one programming language, such as Python, Java, or Go.
  • Expertise in automating cloud-native technologies, deploying applications, and provisioning infrastructure.
  • Experience with cloud-native CI/CD workflows and tools, such as Jenkins, GitLab, 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.
  • Excellent communication skills, both verbal and written.
Responsibilities
  • Collaborate with product and engineering teams to drive and enhance the entire lifecycle of our products, from design and development to deployment and operation.
  • Deploy and troubleshoot our products in clients' AWS environments, ensuring smooth integration and optimal performance.
  • Develop infrastructure-as-code (IaC) software layers, scripts, deployment frameworks, monitors, and self-healing tools to automate processes and improve efficiency.
  • Assist the software engineering team in building accurate monitoring and metrics systems for applications before they go into production.
  • Manage the internal AWS environments and network, ensuring stability, security, and scalability.
  • Participate in meetings with potential clients, working alongside solution architects to address their questions and concerns regarding integration of our products into their network and AWS accounts.
  • Maintain up-to-date documentation on deployments, processes, and standard operating procedures.

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage their scientific data more effectively. The platform collects, centralizes, and harmonizes data from various lab instruments and software, making it easier to prepare for artificial intelligence and machine learning applications. Unlike competitors, TetraScience's vendor-neutral and open design allows it to integrate with any lab equipment, providing flexibility in data management. The goal is to streamline data processes, saving time and improving scientific outcomes.

Company Stage

Series B

Total Funding

$113.8M

Headquarters

Boston, Massachusetts

Founded

2019

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-15%

2 year growth

-18%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets.
  • Collaboration with Databricks re-platforms data for large-scale AI applications.
  • Agreement with Bayer AG transforms scientific data into a vendor-agnostic format.

What critics are saying

  • Dependency on partnerships with Google Cloud and NVIDIA could pose risks if dissolved.
  • Focus on Japanese market exposes TetraScience to geopolitical risks and challenges.
  • Over-reliance on major clients like Bayer AG could be problematic if they face difficulties.

What makes TetraScience unique

  • TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
  • The Tetra R&D Data Cloud integrates lab instruments, informatics applications, and data science partners.
  • TetraScience's platform centralizes and harmonizes scientific data for AI/ML applications.

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Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements