Principal Architect – Platform, Data Lake

🕒 Julho 15

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

🔙 Engenheiro Backend

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of TetraScience

TetraScience

51 - 200 funcionários

Fundada em 2015

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A TetraScience é uma empresa dedicada a transformar dados científicos brutos em conjuntos de dados nativos de IA para aplicações científicas avançadas. Ao colaborar estreitamente com as principais empresas biofarmacêuticas, a TetraScience aumenta a produtividade, acelera insights e garante a integridade dos dados em toda a cadeia de valor científica. Sua plataforma oferece soluções para gerenciamento de dados de laboratório de próxima geração, resultados científicos impulsionados por IA e conformidade com os padrões da indústria. Como a primeira empresa a fornecer um cloud de dados e IA construído especificamente para a ciência, a TetraScience permite que seus clientes liberem, unifiquem e transformem seus dados, superando silos de dados tradicionais e impulsionando a produtividade científica ao oferecer uma infraestrutura flexível, aberta e colaborativa.

Descrição

• Own the platform architecture, evolution and growth scaling across Enterprise Platform, Scientific Search, AI/ML Ops, Developer Platform, Developer Productivity, Lakehouse Platform, Partner Integrations and Cloud Infrastructure. • Set technical direction, own the decisions that cross team boundaries, and close architectural gaps before they become business risks. • Oversee enterprise Platform, Scientific Search, AI/ML Ops, Developer productivity, Lakehouse platform, and Cloud Infrastructure. • Ensure operational excellence based on a clear O11y architecture rolled out, with every production service having SLOs defined, monitored and managed. • Achieve strong product-market fit and traction while expanding industry partnerships and developer experience.

🎯 Requisitos

• 12+ years in software engineering, with at least 5 at staff or principal level in a SaaS platform or data infrastructure context. • Deep architecture ownership in at least one of the two fingerprint profiles above, with meaningful range across the other. Coverage of a majority of the eight domains is the bar. • Demonstrated ownership of enterprise authentication and authorization systems at scale: SAML, OIDC, fine-grained RBAC across a multi-tenant SaaS product. You have been the person who got paged when auth broke, not just the person who designed it. • Hands-on experience with AI/ML serving infrastructure: you have built and operated model inference pipelines under production load. • Search architecture experience: you have designed and operated a search platform that handles diverse query types (keyword, semantic, or hybrid) across large structured or semi-structured datasets. • Hands-on experience with data lake architectures at scale: Delta Lake or Apache Iceberg, schema evolution patterns, partition pruning, and the trade-offs between query performance and storage cost. • Infrastructure fluency on AWS with Kubernetes or ECS. You can read a cost anomaly report, trace it to a root cause, and produce an action within the same week. • Ability to write and defend architecture decisions: RFCs, trade-off documents, design reviews. • Strong cross-team communication. You can write a document that produces alignment without a follow-up meeting to explain the document. • Comfort operating across strategy, architecture, and operations in the same week: setting a multi-year architecture direction and reviewing a runbook gap are both in scope.

🏖️ Benefícios

• Competitive compensation with equity • Unlimited PTO • Company-paid Life Insurance, LTD/STD • 401(k)

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