APM and custom software for mission-critical financial infrastructure
Dawn InfoTek runs a consulting operation anchored in Application Performance Management (APM) tooling and custom software delivery. Their tech stack reveals dual technical DNA: deep APM monitoring (Dynatrace, Splunk) paired with modern data infrastructure (Databricks, BigQuery, Vertex AI, Kubeflow). Current projects span incident management, data governance, and AI model orchestration for financial services clients — suggesting a shift from pure APM toward embedded data and ML consulting. Hiring velocity is accelerating across senior engineering and data roles, concentrated in Canada.
Dawn InfoTek is a Toronto-based consulting firm founded in 1999, serving domestic and international clients across three service lines: Application Performance Management (APM), staffing solutions, and custom software development. Their flagship APM offering includes a Synthetic Transaction Monitor that tests application behavior beyond the load balancer level, supported by a broader Application Quality Assurance (AQA) suite. The company also operates as both a solution implementer and a managed-services provider, running APM deployments for clients and extending into full technical staffing. Active engagements span financial services (online and mobile brokerage platforms), with recent work in incident management, data governance, and Databricks infrastructure migration.
Dynatrace and Splunk for APM monitoring; Databricks, BigQuery, and Vertex AI for data and ML; Kubernetes, Docker, and OpenShift for container orchestration; Java, Spring Boot, Python, and Angular across application layers; AWS and GCP for cloud infrastructure.
Incident and change control for financial services (online and mobile brokerage), Coupa CRA workflow assessment, data governance process modeling, production data pipeline development, AI model pipeline orchestration using Databricks and Kubeflow, and Databricks migration projects.
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