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Full-Time

Senior Devops Engineer

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Biotechnology
Healthcare

Senior, Expert

United States

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Kubernetes
Python
Git
Java
Docker
AWS
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 its 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

$99M

Headquarters

Boston, Massachusetts

Founded

2019

Growth & Insights
Headcount

6 month growth

-11%

1 year growth

-14%

2 year growth

-14%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaborations with major players like Bayer AG and Google Cloud indicate strong market validation and potential for significant growth.
  • The platform's ability to transform and centralize scientific data into AI-ready formats can drastically improve research and development efficiency, leading to faster drug development cycles.
  • ISO 9001:2015 certification underscores TetraScience's commitment to quality and compliance, which is crucial for attracting and retaining biopharma clients.

What critics are saying

  • The highly specialized nature of their platform may limit their market to primarily large biopharmaceutical companies, potentially restricting growth opportunities.
  • Dependence on strategic partnerships for advanced capabilities could pose risks if these partnerships were to dissolve.

What makes TetraScience unique

  • TetraScience offers a vendor-neutral, open, cloud-native platform specifically designed for scientific data management, unlike many competitors who offer more generalized solutions.
  • Their platform's ability to connect all lab instruments, informatics software, and data apps provides a seamless data management experience across the biopharma value chain.
  • Strategic partnerships with industry giants like Databricks and Google Cloud enhance their capabilities in AI and data management, setting them apart from other life sciences data platforms.

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements