Enterprise Software Development Services We Offer in Montreal
We take on four kinds of enterprise engagement in Montreal. Custom platform builds, where the business capability is specific enough that no package fits and the system becomes a durable asset: underwriting workbenches, claims adjudication, dispatch and scheduling, network provisioning, project and portfolio control, clinical operations tooling. Legacy modernization, where a mainframe, an aging Oracle Forms estate or a decade of accumulated .NET has become the constraint on every roadmap, and the work is to carve capability out incrementally behind a stable interface rather than attempt a rewrite that will be cancelled in year two. Integration and API platforms, where twenty systems each hold part of the truth about a customer, an asset or a claim, and the job is an event backbone with contracts, versioning and replay rather than another point-to-point connection. Platform engineering, where delivery is slow because environments, pipelines, observability and access management were never built properly. Across all four we design for Canadian residency first, produce the Law 25 assessment as a project artifact rather than an afterthought, and treat French-language operation and accessibility conformance as functional requirements with acceptance criteria, because retrofitting either one costs several times what building it in costs.
Our Enterprise Software Development Development Process
Enterprise programs fail at the seams between teams, so our process is built to expose those seams early. Discovery runs on Eastern Time and produces four artifacts within the first three weeks: a capability map that separates what is genuinely differentiating from what should be bought, a system-of-record inventory naming the authoritative owner of every important entity, a non-functional specification with numbers attached to availability, recovery point and recovery time objectives, latency and throughput, and a Law 25 privacy impact assessment covering the system being built and any communication of personal information outside Quebec. We then build a thin vertical slice through the full stack in the first six to eight weeks, deployed to a real environment with real authentication, real observability and real infrastructure as code, because a slice that reaches production proves the architecture in a way that a document cannot. From there delivery runs in two-week increments, each one reviewed in a running environment rather than in slides, with trunk-based development, automated tests as a release gate, and architecture decision records so the reasoning survives staff turnover. Security review, accessibility testing and French-language review run continuously against every increment rather than as end-stage gates that discover structural problems too late to fix cheaply.
Enterprise Discovery & Architecture Review
2-3 WeeksWe assess the current landscape — systems, integrations, data ownership, security posture and the constraints nobody wrote down — then define target architecture and a delivery sequence tied to business outcomes.
Solution Design & Security Model
3-4 WeeksDomain modelling, API contracts, identity and permission design, data classification and non-functional requirements agreed with your security and infrastructure stakeholders before code is written.
Agile Delivery
12-32 WeeksCross-functional squads deliver in two-week sprints with CI/CD, automated testing and environment parity. Every sprint produces something demonstrable in an environment your stakeholders can log into.
Integration, Hardening & UAT
4-8 WeeksEnd-to-end integration testing, penetration testing, load and failover testing, accessibility review and structured UAT with business process owners.
Rollout & Managed Support
OngoingPhased rollout by business unit or region with a rehearsed runbook, then managed support against agreed SLAs, on-call rotation and a funded enhancement backlog.
Technologies We Use for Enterprise Software Development
Backend work runs on Java with Spring Boot, .NET, or TypeScript on Node depending on what the client's own engineers can maintain after handover, with Python where data and modelling dominate. Postgres is the default relational store, with Oracle and Db2 respected where they already carry the core, and Kafka or Azure Event Hubs for the event backbone. Long-running business processes run on Temporal or an equivalent durable execution engine rather than on cron jobs and status columns. Frontends run on React and Next.js, built to WCAG 2.1 level AA with bilingual routing and locale-aware formatting from the first component rather than a later internationalization pass. Everything runs in containers on EKS, AKS or GKE, provisioned with Terraform, observed with OpenTelemetry into Grafana, Datadog or Azure Monitor, and shipped through GitHub Actions or Azure DevOps. Identity runs on Entra ID, Okta or Keycloak with OIDC, and privileged access is brokered rather than standing. Regions are Canadian by default: AWS ca-central-1 and Google Cloud northamerica-northeast1 in Montreal, Azure Canada Central and Canada East, with AWS ca-west-1 in Calgary as a Canadian secondary where cross-region disaster recovery must stay inside the country. Mainframe modernization uses interface capture, incremental extraction and parallel-run comparison rather than automated wholesale translation.
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