Enterprise software platform built on Oracle, AWS, and Python for energy and utilities
Procode runs a hybrid Oracle + AWS stack while actively migrating away from C++ and PHP toward Python — a modernization effort visible across their core platform and infrastructure projects. The hiring mix is heavily weighted toward senior engineers (4 of 8 open roles), signaling both depth of technical challenge and likely gaps in legacy system knowledge. Their pain-point list (performance testing, reliability under load, incident response, security gaps) reflects the operational complexity of mission-critical systems in regulated industries.
Procode is a 201–500-person software company based in Chandler's Ford, England, founded in 2006. The business serves enterprise clients in energy, utilities, and related sectors, providing custom software, operational support, and SaaS platforms. The platform is built on a legacy-hybrid architecture: Oracle and SQL Server databases at the core, with recent investment in AWS (ECS, RDS, Lambda, DynamoDB) and emerging Python/C# services. They also maintain significant Salesforce CRM integration work. The company operates across software development, product, and security, with current hiring focused on engineering depth.
Oracle, SQL Server, PostgreSQL, MongoDB, and AWS (ECS, Lambda, RDS, DynamoDB). Services run on Python, C#, and NET Core. Infrastructure managed via Terraform and Azure DevOps. Toad for database admin, Jira/Bitbucket for version control.
Yes. Active projects include migrating C++ and PHP applications to Python, and implementing security standards and AI guardrails. Pain points surface around performance testing and incident response for critical systems during this transition.
Procode'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.