Sr. Dotnet Engineer

Job highlights

• 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
• Provide strong technical expertise through architecture analysis and design,hands-on implementation,design and code reviews. Must have

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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.