nesto operates a mortgage origination platform built on Go, Python, and Kubernetes, processing rate quotes and lending workflows across Salesforce and GCP infrastructure. The company is actively migrating off SQL Server and Azure Data Factory while adopting AWS WAF and multi-cloud security tooling—indicating a shift toward distributed, multi-region deployments. Engineering-led hiring (45 headcount) combined with active projects in IAM, data governance, and agentic AI telephony signals investment in platform scalability and automation over broker-friendly UI alone.
Notable leadership hires: Back-End Team Lead, Engineering Team Lead, Team Lead
nesto is a Canada-based mortgage platform founded in 2018 that automates rate comparison and lending origination for homebuyers. The product screens the mortgage market to surface competitive rates while removing origination friction for both borrowers and brokers. The company operates at 501–1,000 headcount with technical depth across backend services (Go, Python, FastAPI), data pipelines (BigQuery, Apache Airflow, pandas), ML/vision (scikit-learn, OpenCV), and orchestration (Kubernetes, Docker, Terraform). Current priorities include cloud platform consolidation, security compliance hardening, and operational cost reduction—challenges common to fintech platforms scaling from batch-driven legacy systems toward real-time, cloud-native origination.
Primary languages: Go, Python, Node.js, C#. Infrastructure: GCP, Kubernetes, Docker. Data: BigQuery, Apache Airflow, pandas. CRM: Salesforce Sales Cloud and Experience Cloud. Observability: Datadog. CI/CD: Google Cloud Build, Codefresh.
Active projects include a mortgage cloud platform consolidation, IAM implementation, data governance, security compliance for CI/CD pipelines, integration orchestration across business units, and agentic AI telephony solutions for borrower and broker communication.
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