Revvity

Principal Software Engineer – Microscopy Data Management & Cloud Platform

India · Remote (country restricted) · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerRevvity
LocationIndia
Work styleRemote (country restricted)
Employment typeFull time
Employer posted2 Jun 2026

Job Title

Principal Software Engineer – Microscopy Data Management & Cloud Platform

Location(s)

India - Remote

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity

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.

Show full description

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 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).
Proven experience with AWS-based backend systems, storage, compute and scalable service design.
Strong architectural thinking, system decomposition and performance optimization skills.

Nice to have

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 designing search solutions for complex metadata and dataset discovery.
Experience building secure multi-user systems with authentication, authorization and auditability.
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.
C++/Bash/PowerShell
Docker/Kubernetes/Terraform
Vector search or AI/ML data retrieval patterns
Experience with life-science ontologies and scientific data standards

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.