TetraScience

AI Engineer

• Own documentation as a system: the pipelines that build and publish it, the AI-augmented workflows that generate drafts for human review and refinement, the review and publish process, and the infrastructure.
• Lead the growth of existing docs-as-code foundation and AI-assisted documentation workflows into a docs-as-AI-agents capability.
• Own documentation site and its publishing as software: docs-as-code repo, CI/CD publishing pipelines, build performance, and automated checks.
• Build AI-augmented documentation workflows: drafting, summarization, classification, consistency and staleness checks, and feedback loops that improve generation quality over time.
• Generate reference documentation from source (OpenAPI and related specs) and keep docs in sync with platform changes.
• Lower the barrier for internal contributors to ship their own docs through the docs-as-code workflow.
• Own release-notes and customer communications cadence with every platform release.
• Maintain documentation style guide and ensure the function is not dependent on any one person.

Senior / Staff Documentation Engineer, AI & Docs Tooling

• Own documentation as a system: the pipelines that build and publish it, AI-augmented workflows for drafts, review and publish process, and infrastructure for AI agents.
• Take existing docs-as-code foundation and grow it into a docs-as-AI-agents capability.
• Own the documentation site and its publishing as software: docs-as-code repo, CI/CD pipelines, automated link, structure, and quality checks.
• Grow AI-augmented documentation workflows: AI-assisted drafting, summarization, consistency checks, and feedback loop improvements.
• Structure content for AI systems consumption and maintain interfaces for agents.
• Generate reference documentation from source and keep it aligned with code changes.
• Lower barrier for internal contributors to ship their own docs through automation.
• Own release-notes and customer communications cadence.
• Maintain the documentation style guide and team runbook.

Senior / Staff Documentation Engineer – AI & Docs Tooling

Platform Engineer

• Architect and evolve our cloud-native platform and services to support high-throughput, low-latency data processing patterns, customer-facing features, and design platform to meet scalability requirements.
• Design scalable, distributed systems powering complex capabilities such as authentication & authorization, data lifecycle management, metadata management, operational intelligence, and real-time event processing.
• Evolve the authorization service toward modern identity standards and customer-configurable, fine-grained access models that scale without a release for every new role including authorization for non-human identities (service-to-service, AI agents, MCP-based tooling).
• Built systems that capture and enforce structured metadata at ingest and serve it through clean service contracts; understands where platform metadata plumbing ends and the semantic/ontology layer begins, and collaborates well across that boundary.
• Build governance primitives for a regulated environment — compliance-grade audit trail, dataset-level access controls, and approval / eSignature workflows.
• Collaborate with engineering and product teams to deliver infrastructure that supports new services, customer-facing applications, and high-volume data processing workloads.
• Build and maintain infrastructure-as-code (e.g., CloudFormation, AWS CDK) to automate, standardize, and secure deployments to support online upgrades and on-demand infrastructure allocation.
• Enhance observability and monitoring to ensure reliability, cost efficiency, and rapid incident response.
• Champion best practices in distributed systems design, scalability, and performance optimization, and share architectural insights through design reviews and technical documentation.

Lead Software Platform Engineer

Compliance

• Serve as a senior US compliance authority for TetraScience products, for FDA-aligned regulatory interpretation (21 CFR Part 11, Computer Software Assurance / CSA, predicate rules) and US customer expectations.
• Lead customer-facing regulatory conversations as a trusted, named counterpart to pharma and biotech Quality and Validation leadership — providing direct guidance, working-session coaching, and written attestations on both platform-side qualification and customer-side production validation.
• Guide customers through last-mile validation of their intended use of TetraScience — including validation scoping, plan templates, risk assessments, traceability, and CSA-aligned testing approaches — so customer teams can validate scientific workflows on TetraScience faster and with higher quality.
• Own the platform quality and validation narrative for TetraScience itself — how the platform, components, AI Services, and connected agents are qualified, change-controlled, and evidenced — and translate that narrative into customer-consumable artifacts (qualification summaries, GxP impact assessments, release impact letters, IQ reports).
• Lead customer audits and supplier assessments hosted out of the US, including pre-audit readiness, evidence preparation, audit hosting, and findings remediation, for top-tier pharma and biotech accounts.
• Own the GxP Package strategy and roadmap for the US market — including documentation, validation templates, controlled environment attestations, and last-mile validation enablement — to reduce burden on pharma compliance and QA teams.
• Improve the regulatory framework for AI-enabled product capabilities: GAMP 5 + GAMP AI categorization, model validation expectations (e.g., Life Cycle Software Assurance, vision and language models), and customer-facing AI impact assessment artifacts.
• Own and continuously improve the Quality Management System in Qualio, including SOP lifecycle, ensuring it remains audit-ready and aligned with evolving US regulatory expectations.
• Partner with Product and Engineering on platform-level compliance decisions — audit trail design, electronic signatures (21 CFR 11.50), data residency, multi-tenant vs. single-tenant validated environments — acting as the regulatory voice in architectural trade-offs.
• Maintain compliance readiness for ISO 9001 and other certifications, including annual surveillance audits, recertifications, and continuous evidence collection.
• Independently lead cross-functional remediation when audit findings, customer escalations, or regulatory gaps surface — without requiring day-to-day direction.
• Train and enable customer-facing teams (Sales, Solutions Architecture, Implementation, Customer Success) on platform-vs-production validation framing, GxP Package usage, and the boundaries of TetraScience's qualification versus customer last-mile validation.
• Contribute to Sales, Implementation, and Customer Success engagements as the US regulatory subject matter expert, including RFP/RFI responses, compliance matrices, and executive-level customer compliance discussions.

Senior Compliance Manager

Data Engineer

• You will be a critical team member in a unique partnership to industrialize Scientific AI.
• Engage directly with customers onsite a couple of days per week in the Indianapolis area, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.
• Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.
• Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
• Own, scope, prototype, and implement solutions including:
• - Data model design (tabular & JSON)
• - Python-based parser development.
• - Lab software (e.g., ELN/LIMS) integration via APIs.
• - Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly)
• Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid).
• Programmatically interrogating proprietary instrument output files.
• Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings.
• Proactively communicate implementation progress and deliver demos to customer stakeholders.
• Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform.
• Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases.
• Must be able to travel to client sites in St. Louis, Indianapolis, Chicago regions.

Senior / Staff Documentation Engineer, AI & Docs Tooling

Senior / Staff Documentation Engineer – AI & Docs Tooling

Lead Software Platform Engineer

Senior Compliance Manager

Scientific Data Architect