Transit operations platform with fare collection, fleet management, and passenger analytics
Vix Technology operates a mature public-transit software stack spanning fleet management, automated fare collection, and real-time passenger information systems across 200 cities globally. The tech foundation is predominantly Java + Oracle + PostgreSQL, now undergoing cloud migration (AWS adoption at scale, with CloudFormation/CDK/Terraform in active use). The hiring mix — engineering-heavy with balanced mid/senior split, plus intentional security and ops roles — reflects a company executing a group-wide IT modernisation programme while hardening cloud infrastructure (zero-trust architecture, SLA compliance, incident resilience).
Vix Technology is a UK-based intelligent transportation systems vendor founded in 1987, serving transit agencies and operators across 200 cities worldwide. The product suite includes fleet management and operations monitoring, smart-card and account-based ticketing systems, automated fare collection, and real-time passenger information delivery via displays, audio, web, and mobile. The company operates at scale with 201–500 employees, headquartered in Manchester, and is actively expanding engineering capacity across the United Kingdom, United States, Australia, and Canada. Current organisational focus centers on cloud platform consolidation (AWS), global process standardisation, and security hardening as the company scales infrastructure for multi-region support.
Java, Oracle, PostgreSQL, and Kafka form the core. Cloud layer: AWS (Lambda, ECS, ECR, API Gateway, CloudWatch). DevOps: Terraform, CloudFormation, AWS CDK. CI/CD: TeamCity, Bitbucket, Jira. Testing: Jest, JUnit, Selenium, Allure. Monitoring: Splunk.
Manchester, England. The company was founded in 1987 and is privately held with 201–500 employees globally.
Vix Technology'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.