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Digis, a Fiverr company (NYSE: FVRR) Tech Stack

Software development and staffing firm serving automotive, fintech, healthcare, and media sectors

Software Development London, England 201–500 employees Founded 2015 Privately Held

Digis is a London-based development shop with 200+ professionals serving seven industries through custom software, staff augmentation, and IT consulting. The hiring surge is heavily weighted toward senior engineering roles (10 of 12 open positions) across distributed teams in Ukraine, Indonesia, the US, and Mexico—typical of scaling outsourcing operations. Active projects reveal a shift from monolithic legacy systems toward cloud and data infrastructure: microservices migration, edge-to-cloud pipelines, real-time data processing, and a move from IBM Cognos to Power BI signal modernization pressure across the client base.

Tech Stack 86 technologies

Core StackJavaScript AWS Glue Apache Spark PySpark PostgreSQL Redshift DynamoDB AWS .NET C# SQL Server Python Docker Power BI Node.js Scala C++ Java Ruby React HubSpot WebdriverIO AWS EMR AWS Fargate OPC UA Modbus PLCs NVIDIA Jetson Celonis JNI+45 more
ReplacingAzure DevOps Server IBM Cognos

What Digis, a Fiverr company (NYSE: FVRR) Is Building

Challenges

  • Handling massive data volumes
  • Splitting monolithic services into microservices
  • Legacy repository migration
  • Devops improvements
  • Migrating legacy reporting to power bi
  • Enhancing reporting processes
  • Data integration across complex business environments
  • Process mining enablement
  • Increasing hotel revenue
  • Handling unreliable third-party data

Active Projects

  • Remote patient monitoring project
  • Real-time data processing platform
  • Case detection scaling initiative
  • Microservices migration project
  • Migrate legacy repositories from tfs to git
  • Design and implement devops / ci/cd pipelines
  • Support and enhance existing .net applications
  • Ai-powered computer vision and predictive systems for manufacturing companies
  • Edge-to-cloud data pipelines
  • Migration from ibm cognos to power bi

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering
9
Data
2
Executive
1

Seniority

Senior
10
Mid
2
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About Digis, a Fiverr company (NYSE: FVRR)

Digis develops custom software and provides staff augmentation services for mid-market and enterprise clients in automotive, media & entertainment, GIS, e-commerce, fintech, healthcare, and education. The company has completed over 300 projects since its 2015 founding and offers a range of delivery models including custom development, IT consulting, intelligent automation, and managed IT services. Core technical competencies span big data, machine learning, AI, and cloud platforms. The firm operates distributed development centers and is currently modernizing client infrastructure, particularly in data pipelines and BI tooling, while managing the operational complexity of large-scale data integration and legacy system migrations.

HeadquartersLondon, England
Company Size201–500 employees
Founded2015
Hiring MarketsUkraine, Indonesia, United States, Mexico

Frequently Asked Questions

What tech stack does Digis use?

Digis works with JavaScript, Python, Java, C#/.NET, Node.js, React, AWS (Glue, EMR, Fargate), PostgreSQL, Redshift, DynamoDB, Docker, Apache Spark, Power BI, and industrial IoT protocols (OPC UA, Modbus, PLCs).

What is Digis working on?

Active projects include microservices migration, real-time data processing platforms, edge-to-cloud pipelines, remote patient monitoring, AI-powered computer vision for manufacturing, and migration from legacy systems (TFS to Git, IBM Cognos to Power BI).

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How this profile is built

Digis, a Fiverr company (NYSE: FVRR)'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.