Who We Are
TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.
TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom:
In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.
It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.
What You Will Do
- Collaborate with product and engineering teams to drive and enhance the entire lifecycle of our products, from design and development to deployment and operation.
- Work closely with clients to deploy and troubleshoot our products in clients' AWS environments ensuring smooth integration and optimal performance.
- Develop CloudFormation templates, Terraform modules, Python 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 while keeping costs in check
- 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.
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 certification.
- Proficiency in at least one programming language, such as Python (preferred), Java, or Go.
- Strong proficiency in infrastructure-as-code (IaC) tools, preferably CloudFormation.
- Good understanding and practical experience using and deploying AI (ML, LLMs)
- Expertise in automating cloud-native technologies, deploying applications, and provisioning infrastructure.
- 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.
- Excellent communication skills, both verbal and written.
Benefits
- 100% employer-paid benefits for all eligible employees and immediate family members.
- Unlimited paid time off (PTO).
- 401K.
- Flexible working arrangements - Remote work + office as needed.
- Company paid Life Insurance, LTD/STD.
