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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.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
