Contact center and cloud infrastructure integrator serving North American enterprises
Connex is a systems integrator built around contact-center solutions and cloud infrastructure, with a tech stack heavily weighted toward AWS (Lambda, Connect, Kinesis, DynamoDB, Step Functions, Secrets Manager, CloudWatch, Direct Connect) and GCP (Dataflow, Pub/Sub). Active projects center on Amazon Connect contact flows and infrastructure-as-code deployments via CloudFormation and Terraform. Pain points cluster around scaling contact center solutions and data pipelines—matching their current hiring push across sales, engineering, and data roles, suggesting an expansion phase in the cloud contact-center segment.
Connex, founded in 1996, is a systems integrator specializing in contact-center transformation, network communications, and cloud infrastructure solutions. The company operates across North America with multiple regional offices and serves enterprise clients across telecommunications, banking, and related sectors. Their service portfolio spans design, installation, integration, and management of on-premises and cloud-based contact-center environments, underpinned by partnerships with vendors including Genesys, Avaya, Verint, and Amazon Web Services. Recent project activity reflects a shift toward cloud-native contact-center architecture (Amazon Connect) and enterprise data platforms (Azure Synapse, Redshift), positioning the company at the intersection of legacy telecom infrastructure and modern cloud services.
Connex runs primarily on AWS (Lambda, Connect, Kinesis, DynamoDB, CloudFormation, Step Functions, Direct Connect) and GCP (Dataflow, Pub/Sub, VPC, IAM). They are actively building proof-of-concept work on Azure Synapse for banking clients.
Connex specializes in contact-center transformation and cloud infrastructure integration, with active work on Amazon Connect contact flows, infrastructure-as-code deployments, and enterprise-scale cloud data solutions for banking and telecom clients.
Connex Telecommunications Inc.'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 →
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