HIGHFI Tech Stack

Banking and insurance consulting with specialized data, infrastructure, and digital delivery

IT Services and IT Consulting Paris, Île-de-France 201–500 employees Founded 2002 Privately Held

HIGHFI is a 200+ consultant French firm focused on banking and insurance clients, structured across four operating entities (HIGHFI, HIGHSYS, NS, SOFFT) spanning investment banking, retail banking, and insurance sectors. The tech stack reveals dual specialization: containerization (Docker, Kubernetes adoption) paired with enterprise data infrastructure (Elasticsearch, Scala, Python, big-data tooling). Active hiring skews heavily senior (15 of 16 open roles), signaling delivery-focused scaling rather than junior ramp; concurrent initiatives around data pipeline industrialization and DevOps transitions suggest internal modernization pressure beneath the consulting surface.

Tech Stack 70 technologies

Core StackAngular React Vue Java Oracle MySQL Python Django Go PostgreSQL Redis Scala Jenkins Kubernetes Docker Terraform Ansible Elasticsearch Nginx VMware Hyper-V Puppet .NET Debian CentOS Bash Apache JBoss Citrix NET Core+40 more

AdoptingDocker Kubernetes

What HIGHFI Is Building

◆Challenges

Reducing incident severity
Improving incident reporting
Industrialisation des pipelines de traitement de données massives
Mise en place des infrastructures de données
Gestion et maintenance des flux de données
Managing obsolescence
Handling vulnerabilities
Os and middleware obsolescence
Centralisation d’indicateurs sécurité
Définition des indicateurs de sécurité

▲Active Projects

Process review initiatives
Ticketing system improvements
Api rest development
Docker and kubernetes implementation
Technology refactoring
Travaux d’architecture de la plateforme de données
Industrialisation des pipelines de traitement de données massives
Devops run transition
Infrastructure design
Dynatrace dashboard creation

Hiring Activity

Accelerating15 roles · 1 in 30d

Department

Engineering

Data

Finance

Security

Ops

Support

Seniority

Senior

Manager

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About HIGHFI

HIGHFI was founded in 2002 as a banking and insurance consulting firm headquartered in Paris, and has grown through strategic acquisitions to 500 consultants operating across four subsidiary structures. The parent HIGHFI specializes in investment banking, treasury, and data delivery (MOA/MOE roles); HIGHSYS (acquired 2016) covers infrastructure and production; NS (2018) extends retail banking and insurance coverage; SOFFT (2020) adds bancassurance and centralized systems expertise from a Lyon operations center. The firm operates as a top-tier vendor across major financial institutions (Société Générale, BNP, HSBC, Natixis) and insurance clients (Groupama, Engie Trading). Service delivery spans five historical practice areas: IT, Digital/Agile/DevOps, Business Analysis, Infrastructure/Production, and Big Data/Data Engineering.

HeadquartersParis, Île-de-France

Company Size201–500 employees

Founded2002

Hiring MarketsFrance

Frequently Asked Questions

What is HIGHFI's tech stack?

HIGHFI uses Java, Python, Go, Scala, .NET/NET Core for application development; Oracle, PostgreSQL, MySQL for databases; Docker, Kubernetes, Terraform, Ansible for infrastructure; Jenkins, Elasticsearch for operations; and VMware, Hyper-V, Citrix for virtualization. The firm is actively adopting Docker and Kubernetes.

What industries does HIGHFI serve?

HIGHFI specializes in banking and insurance. Client portfolio includes investment banks (Société Générale, BNP, HSBC, Natixis), retail banking, and insurance firms (Groupama). The four subsidiary structures support investment banking delivery, infrastructure services, retail banking/insurance, and bancassurance segments.

How this profile is built

HIGHFI'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.