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About the role
Experience: 10+ Years Role summary We are looking for a hands-on Principal Software Engineer to contribute to the architecture design and implementation of a distributed scientific data platform for microscopy and life-science applications. The platform must support microscopy image data, metadata, search, transformation, storage, transfer and analysis workflows across instruments, user PCs, on-premise deployments and AWS cloud environments. This role requires deep expertise in database-centric system design, scientific data modeling, high-performance data processing and scalable multi-user distributed systems. Responsibilities · 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 strong technical expertise through architecture analysis and design, hands-on implementation, design and code reviews. Must have · 10+ years in software engineering, including design of complex distributed backend or data platforms. · 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 and, ideally, C#. · Experience building secure multi-user systems with authentication, authorization and auditability. · Strong architectural thinking, system decomposition and performance optimization skills.
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