Principal Software Engineer – Microscopy Data Management, Cloud Platform

🕒 Abril 23

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Revvity

SiteLinkedInTodas as Vagas

10.000+ funcionários

🧬 Biotecnologia

💊 Farmacêutico

⚕️ Seguro de Saúde

Biotechnology • Pharmaceuticals • Healthcare Insurance

A Revvity é uma empresa de soluções baseadas em ciência que aproveita a inovação em ciências da vida e diagnósticos para melhorar vidas em todos os lugares. A companhia atende a uma base de clientes diversa, incluindo academia, pharma/biotech, laboratórios clínicos e profissionais de saúde. Seu amplo portfólio de produtos e serviços inclui análise genômica, diagnósticos clínicos, terapia celular e gênica, drug discovery (descoberta de fármacos), medicina de precisão e soluções avançadas de automação. A Revvity está comprometida em capacitar cientistas com ferramentas de ponta e soluções completas para aprimorar P&D, diagnósticos e testes clínicos. Com foco em acelerar o time-to-market sem comprometer a qualidade, a Revvity se dedica a viabilizar avanços de próxima geração em saúde e ciências da vida.

Descrição

• Lead the architecture and technical design of a distributed data management platform for microscopy and scientific imaging workflows • Define and evolve a unified data model for datasets, metadata, derived data and analysis outputs across multiple instruments and products • Design scalable storage, indexing, search, caching and data-transfer mechanisms for large scientific datasets in hybrid edge/on-prem/cloud environments • Design and implement database-centric services, APIs and backend components for secure and high-performance multi-user access • Drive the migration of legacy product-specific data-management functionality into reusable platform services • Collaborate with image analysis, web UI, instrument software and domain experts to define robust interfaces and end-to-end workflows • Contribute to engineering standards, CI/CD, observability, reliability and secure software delivery for cloud-based and instrument-hosted systems • Provide technical leadership through architecture decisions, hands-on implementation, design reviews, mentoring and cross-team alignment

🎯 Requisitos

• MS in STEM or equivalent practical experience • 10+ years in software engineering, including design of complex distributed backend or data platforms • Strong experience with scientific or imaging data systems, ideally microscopy, digital imaging or laboratory software • Deep expertise in database design, schema evolution, query optimization, transactions, indexing, data security and data lifecycle management • Strong experience with SQL and at least one of: document, key-value, graph or vector databases • Strong experience designing search solutions for complex metadata and dataset discovery • Proven experience with AWS-based backend systems, storage, compute and scalable service design • Strong programming skills in Python plus one of C# or Java • Experience building secure multi-user systems with authentication, authorization and auditability • Strong architectural thinking, system decomposition and performance optimization skills