Cloud modernization and AI advisory for financial services
Intellibus advises C-suite and board members at major financial institutions on cloud migration, AI, and engineering modernization. The tech stack reveals a heavy Java/Python backend with AWS/Azure/GCP parity and strong observability (Splunk, Datadog, New Relic) — typical of firms managing mission-critical systems. Hiring skews heavily toward senior engineers and directors across Canada and the US, with Kafka and Kubernetes adoption underway, pointing to a shift from monolithic legacy platforms toward distributed, cloud-native architectures in tight regulatory environments.
Notable leadership hires: Program Director, Technical Delivery Lead
Intellibus is a software engineering and advisory firm serving financial institutions on technology transformation. Founded in 2015 and based in Reston, Virginia, the company works directly with C-level executives and board members on cloud strategy, AI pilots, and legacy modernization. Core projects span conversion and go-live of trading systems, retail banking modernization, and platform integration across cloud providers (AWS, Azure, GCP). The firm operates across 51–200 employees with concentrated hiring in senior and director-level engineering roles, reflecting a delivery and architecture-focused business model.
Java, Python, AWS, Azure, GCP, Spring Boot, Kafka, Kubernetes, Snowflake, Terraform, and observability tools (Splunk, Datadog, New Relic). Currently adopting Spring Cloud, Hibernate, and AWS EKS.
Legacy-to-cloud modernization, financial trading platform conversions, retail banking transformation, Kafka cluster deployment on AWS, AI pilots, and data foundations/integration platforms for large financial institutions.
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