Posted 20 May, 2026
(#1556) Sr. Dotnet Engineer
Sails Software Inc
Andhra Pradesh,Visakhapatnam,India
Full Time
Reference: 219_640146_Tocy-cNTeM_V
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.
Employment Type: FULL_TIME
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.
