Salesforce implementation and cloud modernization for enterprise clients
CG Infinity builds cloud infrastructure and Salesforce solutions for mid-market enterprises, with a heavy weighted toward AWS architecture (landing zones, multi-account orgs, IAM policy design) and Salesforce integrations. Recent hiring velocity is accelerating across engineering roles with a senior-heavy seniority mix, and the pain-point pattern—DOD accreditation, compliance, classified AWS regions, data migration—points to federal and highly regulated verticals (energy, utilities, financial services) where delivery timelines are tight and technical depth is non-negotiable.
Notable leadership hires: QA Lead
CG Infinity is a systems integrator and custom software firm founded in 1998, based in Plano, Texas, with 201–500 employees. The company specializes in Salesforce implementations, cloud infrastructure design on AWS, and backend system integrations for enterprise clients in energy, utilities, and financial services. The tech stack spans Salesforce (Apex, Lightning Web Components, Visualforce), AWS (EC2, Lambda, Step Functions, EMR, Glue), and data platforms (Spark, Kafka, Databricks). The project list—AWS landing zones in classified regions, VPC/IAM architecture, CI/CD pipeline development, and Salesforce solution architecture—reflects a services-led business model where teams embed with clients to oversee multi-phase technology transitions.
Salesforce (Apex, Lightning Web Components, Visualforce), AWS (Lambda, Step Functions, EMR, Glue, SageMaker, Bedrock), Kafka, Databricks, Apache Spark, SQL Server, .NET Core, and Angular. Currently adopting Docker, Kubernetes, and Azure DevOps.
Enterprise application modernization, AWS cloud-native architecture (landing zones, multi-account org design, VPC/IAM policies), Salesforce integrations with backend systems, CI/CD pipeline development, and data migration for regulated industries including energy, utilities, and financial services.
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CG Infinity'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.