TetraScience

Full-stack Engineer

• Own the technical architecture of the Tetra Apps platform, including application development, packaging, provisioning, routing, authentication, isolation, observability, upgrades, and retirement.
• Design and evolve the app proxy and routing layer, container provisioning and lifecycle on ECS, per-app identities, and install, upgrade, and rollback paths across multitenant cloud and customer-hosted environments.
• Design security for tenant and per-user data boundaries, delegated authorization, secrets handling, browser security, and server-side approval and install gates.
• Threat-model a platform that runs external code, including agents.
• Own production readiness through metrics, tracing, SLIs, SLOs, alerting, incident runbooks, capacity planning, and cost planning.
• Partner with DevOps and platform teams on infrastructure-as-code and multi-tenant deployment.
• Own templates, TypeScript and Python SDKs, CLI, local development loop, and builder documentation.
• Run sprint and quarterly planning with the product manager; scope, estimate, sequence, and manage commitments.
• Make maintenance and technical-debt paydown visible and lead ROI discussions.
• Lead design reviews, write architecture RFCs and decision records, represent the platform in weekly architecture review, and raise engineering quality through review and pairing.
• Ship code and components across TypeScript/Node.js services, React web apps, AWS architecture, client SDKs, and IaC/CI/CD automation.
• Support field engineers and customers building and debugging apps in their environments, converting findings into platform improvements.

Tech Lead, Tetra Apps Platform

Data Engineer

• Engage directly with customers onsite, build strong relationships, understand scientific data challenges and requirements, and accelerate solutions.
• Design and implement extensible, reusable data models that capture and organize scientific data for scalability and future adaptability.
• Translate scientific data workflows into robust solutions using the Tetra Data Platform.
• Own, scope, prototype, and implement data model designs in tabular and JSON formats.
• Develop Python-based parsers.
• Integrate lab software such as ELN/LIMS via APIs.
• Develop data visualizations and applications in Python using frameworks such as Streamlit and tools such as holoviews and Plotly.
• Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers to develop and deploy ML, AI, mechanistic, statistical, and hybrid models.
• Programmatically interrogate proprietary instrument output files.
• Iterate with scientific end users and technical stakeholders through demos and meetings to drive solution development and adoption.
• Communicate implementation progress and deliver demos to customer stakeholders.
• Collaborate with the product team to build and prioritize the roadmap based on customer pain points.
• Learn new technologies and troubleshoot use cases.

Scientific Data Architect

• Engage directly with customers onsite a couple of days per week in the Frankfurt Region, building relationships and understanding scientific data challenges and requirements.
• Design and implement extensible, reusable data models for scientific use cases.
• Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
• Own, scope, prototype, and implement solutions involving data model design, Python parser development, lab software integration via APIs, data visualization, and Python application development.
• Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers to develop and deploy models.
• Iterate with scientific end users and technical stakeholders through regular demos and meetings to drive solution development and adoption.
• Communicate implementation progress and deliver demos to customer stakeholders.
• Collaborate with the product team to build and prioritize the roadmap based on customer pain points.
• Learn new technologies and scientific analysis applications to develop and troubleshoot use cases.