About TetraScience
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
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.
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What We Do
Biopharma R&D runs on data trapped in silos. Every instrument, ELN, and LIMS writes results in its own format, so most of what a scientist learns in one experiment never reaches the next. That's a big reason drug development costs keep climbing even as computing power gets cheaper. TetraScience builds Tetra OS, the operating system for scientific intelligence. It sits above and alongside a company's existing instruments, ELNs, and LIMS, works across any vendor, and turns raw scientific data into structured, AI-ready intelligence. Four components make it work. The Scientific Data Foundry ingests data from any source and converts it into governed, machine-readable data at scale. The Scientific Use Case Factory turns one-off workflows into reusable, validated ones deployed across sites. Tetra AI reasons and orchestrates on top of that foundation, grounded in real data instead of guessing. Sciborg teams, our embedded scientist-engineers, work inside customer organizations to get all of it adopted, not just installed. These parts compound. Better data makes workflows faster to build. Workflows generate better data. The result is intelligence that gets more valuable with use instead of resetting on every new project. Customers include Takeda, Bayer, Regeneron, Roche and and AstraZeneca, alongside partners like NVIDIA, Databricks, and Thermo Fisher Scientific. One top-20 pharma customer connected over 1,000 instruments, processed a petabyte of data in a year, and cut 20,000 hours of administrative work. Founded by Patrick Grady and Spin Wang, headquartered in Boston with a European base in Basel. Mission: radically improve and extend human life.
Why Work With Us
We're building the operating system underneath scientific R&D, not another point tool. Work touches real drug development at Takeda, Bayer, and Novartis. Every employee sees the same financials the board sees. We hire people who reason from first principles and run at hard problems.
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