Principal Software Engineer – Microscopy Data Management, Cloud Platform

🕒 April 23

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Revvity

WebsiteLinkedInAll Job Openings

10,000+ employees

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

Revvity is a science-based solutions company that leverages innovation across life sciences and diagnostics to improve lives everywhere. The company serves a diverse customer base, including academia, pharma/biotech, clinical laboratories, and healthcare professionals. Its extensive range of products and services includes genomic analysis, clinical diagnostics, cell and gene therapy, drug discovery, precision medicine, and advanced automation solutions. Revvity is committed to empowering scientists with cutting-edge tools and comprehensive solutions to enhance research and development, diagnostics, and clinical testing. With a focus on accelerating time to market while ensuring quality, Revvity is dedicated to revolutionizing next-generation breakthroughs in healthcare and life sciences.

📋 Description

• 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

🎯 Requirements

• 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