Principal Software Engineer / Architect – Microscopy Data Management & Cloud Platform India

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Principal From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Principal Software Engineer / Architect – Microscopy Data Management & Cloud Platform India San Diego, California Role summary We are looking for a hands-on Principal Software Engineer / Architect to lead the architecture 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. You will 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. Must have 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

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