Enterprise software for power generation operations and portfolio optimization
PCI Energy Solutions builds end-to-end software for utilities and power generators — companies managing critical infrastructure. The stack (Java, Python, React, Kubernetes, AWS/Azure/GCP) reflects a mature, polyglot platform spanning backend services and frontend tooling; heavy investment in observability (Prometheus, Grafana, Splunk, ELK) and testing (Playwright, Cypress, Selenium, k6) suggests the company is addressing the performance and scalability challenges listed in their active pain-point backlog. Engineering-heavy hiring (19 of 21 open roles) with a junior-to-principal spread indicates they're scaling capacity while onboarding less senior developers — consistent with their stated focus on adopting modern development practices.
PCI Energy Solutions is a privately held software firm founded in 1992, headquartered in Norman, Oklahoma, with offices in Houston, Raleigh, Mexico City, and Sydney. The company sells portfolio optimization, energy accounting, gas management, and outage management software to power generation and distribution utilities worldwide. Their product suite spans ETRM (energy trading and risk management), business intelligence, and system integration capabilities designed to improve operational efficiency and reduce fuel costs. The company has grown organically for three decades without acquisitions and operates with a stated cultural emphasis on customer success and long-term partnerships.
Java, Python, React, Kubernetes, GitLab, AWS, Azure, GCP, Docker, Elasticsearch, Splunk, Grafana, Power BI, and testing frameworks including Playwright, Cypress, and Selenium. Multi-cloud deployment with strong observability and monitoring infrastructure.
Headquartered in Norman, Oklahoma. Additional offices in Houston, Raleigh, Mexico City, and Sydney. Current hiring activity in the United States and Peru.
PCI Energy Solutions'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.