Digital Science Tech Stack

AI platform suite for research institutions, publishers, and academic workflows

Software Development London, England 501–1,000 employees Founded 2010 Privately Held

Digital Science operates a portfolio of AI and data tools (Altmetric, Dimensions, Figshare, ReadCube, Symplectic, Overleaf, and others) serving researchers, universities, funders, and publishers. The tech stack is GCP-native with Kubernetes, PostgreSQL, MongoDB, and Python, suggesting a microservices infrastructure optimized for multi-tenant research workflows. Active adoption of Gong and LinkSquares signals a shift toward sales enablement and contract intelligence—typical of a portfolio company maturing its go-to-market motion.

Tech Stack 23 technologies

Core StackTerraform Kubernetes Docker Jenkins PostgreSQL MongoDB Redis AWS Python Salesforce DocuSign Skilljar GCP Cloud SQL Cloud Armor Google Cloud Monitoring Cloud Load Balancer IAM Cloud Logging Bash Chili Piper

AdoptingGong LinkSquares

What Digital Science Is Building

◆Challenges

Maintaining reliability of critical platforms
Cost efficiency of cloud resources
Improving system health
Adoption gaps
Underused features
Supporting research institutions with secure data
Enabling data-driven decision-making
Complex analytical workflow data integration
Optimizing commercial system adoption
Ensuring platform configuration and governance

▲Active Projects

South carolina research authority (scra) program
Overleaf infrastructure
Ci/cd pipeline optimization
Training program development for academic audiences
Content library contribution (skilljar)
Webinar and community initiative support
Terraform codebase management
Monitoring and alerting system implementation
Custom demo development
Solution architecture design

Hiring Activity

Steady10 roles · 3 in 30d

Department

Product

Research

Support

Operations

Sales

Security

Seniority

Senior

Mid

Lead

Manager

Principal

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About Digital Science

Digital Science is a portfolio company housing 11 research and academic technology brands. The platform spans research discovery (Dimensions, Altmetric), collaborative authoring (Overleaf), data management (Figshare, ReadCube), and research administration (Symplectic). The customer base includes research institutions, academic publishers, and government research bodies. The company operates from London and employs 501–1,000 people. Current hiring emphasis is on senior product and research roles, with active expansion in the United States and Colombia, indicating geographic scaling of both engineering and delivery capacity.

HeadquartersLondon, England

Company Size501–1,000 employees

Founded2010

Hiring MarketsUnited States, Colombia

Frequently Asked Questions

What tech stack does Digital Science use?

GCP (Cloud SQL, Cloud Load Balancer, Cloud Armor, Cloud Monitoring, Cloud Logging), Kubernetes, Docker, PostgreSQL, MongoDB, Redis, Python, Terraform, Jenkins, and Bash. Sales stack includes Salesforce, Chili Piper, and DocuSign.

Is Digital Science hiring engineers?

Yes. Open roles include 3 product positions, 2 research roles, and 1 principal engineer. Seniority skews senior (5 of 10 active roles). Recent postings show steady hiring velocity across product and research.

What is Digital Science working on?

Infrastructure projects (Overleaf infrastructure, CI/CD optimization, Terraform management, monitoring systems), training and community initiatives, and solution architecture for academic institutions. Also active in SCRA program delivery and custom demo development.