
TetraScience offers a Scientific Data and AI Cloud designed to liberate, unify, and transform raw scientific data into AI-native data. This platform aims to enable Scientific AI by providing a…

TetraScience offers a Scientific Data and AI Cloud designed to liberate, unify, and transform raw scientific data into AI-native data. This platform aims to enable Scientific AI by providing a…
Company: TetraScience — scientific data and AI cloud for life‑sciences R&D
Headquarters / Founded: Boston; founded (original) 2014; rebuild noted from 2017; current founding year reported 2019 in one source
Product: Tetra Scientific Data and AI Cloud (Tetra OS) — vendor‑agnostic, AI‑native data platform
Recent round: Series B $80M announced April 15, 2021 (co‑led by Insight Partners and Alkeon Capital)
Used by many large pharma/biotech customers (company cites percent of top pharma customers)
Scientific R&D data management and enabling AI for discovery and research productivity in life sciences.
2019
Software Development
8,000,000
Series A included strategic investor Waters Corporation and investors Floodgate, First Round, Underscore VC, Founder Collective
80,000,000
Announced to accelerate rollout of the open R&D Data Cloud
“Investors include Insight Partners, Alkeon Capital, Waters Corporation, Floodgate, First Round Capital, Underscore VC, Founder Collective, and others”
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 authored "The Tetra Way" 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.
As DevOps Lead you will own the cloud infrastructure, CI/CD systems, and deployment automation for TetraScience’s multi-tenant SaaS platform serving global biopharma customers. This is a hands-on technical lead role, not a people manager title. You will write IaC daily, architect deployment pipelines, and drive the engineering practices that determine how fast and safely we ship software.
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Infrastructure as Code
Design, build, and maintain all cloud infrastructure using Terraform (primary) across AWS and Azure. Every environment, from sandbox to production, is provisioned and governed through code. You treat infrastructure PRs with the same rigor as application PRs: peer review, automated validation, drift detection, state management.
CI/CD Architecture
Own the build, test, and deployment pipeline infrastructure end to end. GitHub Actions, container image pipelines, artifact registries, pre-merge integration environments, promotion gates, and automated rollback. Your goal: engineers merge code and it reaches production safely without manual intervention.
Cloud Engineering
Deep, hands-on AWS work: EKS/ECS, VPC architecture, IAM, KMS, CloudWatch, Lambda, S3, and networking. Azure fluency for customer-facing deployments. You understand Well-Architected Framework principles and apply them daily, not as a checklist exercise.
DevSecOps
Embed security into the pipeline: container image scanning, SAST/DAST integration, secrets management, least-privilege IAM, and compliance-as-code. You work in a GxP-regulated environment where auditability and traceability of deployments are non-negotiable.
Release Velocity
Partner with engineering teams to reduce cycle time from commit to production. Instrument pipeline metrics (build time, deployment frequency, change failure rate, MTTR). Identify and eliminate bottlenecks. Build self-service capabilities so product teams are not blocked by infrastructure.
Observability and Reliability
Production monitoring, alerting, log aggregation, and incident response infrastructure. Datadog, Prometheus/Grafana, or equivalent. On-call participation and blameless postmortem culture.
Why This Role Matters
TetraScience is building the data and AI platform for drug development. Our customers are global pharma companies running regulated scientific workloads. The infrastructure you build determines whether we ship features weekly or monthly, whether customer environments are secure and compliant by default, and whether the platform scales from tens to hundreds of enterprise deployments. Release velocity is a company-level strategic priority, and this role is at the center of it.
Strong Preferences
Current Tech Stack
What We Are Not Looking For
To save everyone’s time: this role is not traditional IT operations. If your background is primarily in manual server provisioning, ticketing-system-driven change management, desktop support, or on-prem datacenter administration, this is not the right fit. We need someone whose default mode is writing code to solve infrastructure problems.