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Revvity

Principal Software Engineer – Microscopy Data Management & Cloud Platform

Revvity
Estonia · Full-time · Not Applicable
Role Summary

We are looking for a hands-on Principal Software Engineer to design and implement 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, high-throughput data pipelines, reliable data transfer protocols, backend interface design and scalable multi-user distributed systems.

You will

  • Contribute to the design and development of a distributed data management platform for microscopy and scientific imaging workflows.
  • Design scalable storage, indexing, search, caching and high-throughput data-transfer mechanisms for large scientific datasets in hybrid edge/on-prem/cloud environments.
  • Design and implement robust backend interfaces (APIs, contracts, schemas) enabling interoperability across platforms (instrument control, image analysis, UI, cloud services).
  • Design and implement reliable and resumable data transfer pipelines between instruments, local systems and cloud (including offline-first and intermittent connectivity scenarios).
  • Develop high-performance data ingestion, streaming and transformation pipelines for large image datasets and metadata.
  • Define and implement data consistency, integrity and traceability mechanisms (checksums, versioning, audit trails, reproducibility).
  • 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 programming skills in Python and C#.
  • 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 in backend API design (REST/gRPC), contract versioning, backward compatibility and interface governance.
  • Understanding of network protocols and performance tuning (HTTP/2, gRPC, TCP/IP behavior, latency vs throughput trade-offs).
  • Experience with asynchronous and event-driven architectures (message queues, streaming systems).
  • Experience with data integrity mechanisms (checksums, hashing, validation, consistency models).
  • Strong experience designing search solutions for complex metadata and dataset discovery.
  • Proven experience with AWS-based backend systems, storage, compute and scalable service design.
  • Experience building secure multi-user systems with authentication, authorization and auditability.
  • Strong architectural thinking, system decomposition and performance optimization skills.


Strong plus

  • Experience with scientific or imaging data systems, ideally microscopy, digital imaging or laboratory software.
  • Experience with microscopy image metadata, OME concepts, image file formats, tiled or multiresolution image handling or scientific imaging pipelines.
  • Experience with S3-compatible object storage, hybrid deployments and on-prem/cloud synchronization.
  • Experience with caching, asynchronous workflows, data pipelines and event-driven architectures.
  • Experience with regulated or quality-driven environments.
  • Experience with access control integration, Keycloak, LDAP/AD or customer-specific identity systems.


Nice to have

  • C++/Bash/PowerShell
  • Docker/Kubernetes/Terraform
  • Vector search or AI/ML data retrieval patterns
  • Experience with life-science ontologies and scientific data standards

Key Skills

Ranked by relevance

storage cloud aws ui message queues python grpc cicd sql s3
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Country Guide

Estonia

Digital-first ecosystem and startup culture

Posted
May 13, 2026
Type
Full-time
Level
Not Applicable
Location
Estonia
Company
Revvity

Industries

Biotechnology Research

Categories

Engineering Information Technology

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