Enterprise Software Development Services We Offer in Seattle
Enterprise software development here means building the systems no vendor sells you, and integrating them into a landscape that already has forty years of history in it. We build custom platforms: internal developer platforms, operations control planes, pricing and quoting engines, scheduling and dispatch systems, claims and case management, laboratory and research data platforms, and the workflow tools that sit between a packaged ERP and the way the business actually runs. We do legacy modernisation, which in Puget Sound means COBOL and mainframe batch in public agencies and utilities, .NET Framework monoliths in manufacturing, and early-2010s microservice estates that fragmented into distributed monoliths. We build integration and event architecture on Kafka, Azure Event Hubs or Amazon MSK when a dozen systems need to agree on what happened and in what order. We build data platforms on Snowflake, Databricks or warehouse-native Postgres with lineage and access control that a regulator can inspect. And we do platform engineering: Kubernetes, Terraform, service catalogues, golden paths and the observability layer that makes an on-call rotation survivable rather than a retention problem.
Our Enterprise Software Development Development Process
We open every enterprise engagement with an architecture and risk assessment rather than a sprint plan, because the expensive mistakes are made in the first three weeks. That assessment covers the existing system landscape and its true integration points, a data classification pass that tags protected health information, criminal justice information, student records, export-controlled technical data and financial account data wherever they appear, an identity and access model, and a written statement of the non-functional requirements that will actually constrain design: latency budgets, availability targets, recovery point and recovery time objectives, and audit retention. Where the platform will use generative AI, we run a risk profile aligned to the NIST AI Risk Management Framework, which is the same framework Executive Order 24-01 directs Washington state agencies to use for high-risk systems. Delivery runs two-week sprints with a demo every second Thursday at 2:00 PM Pacific, which is 3:00 PM for our Edmonton team on Mountain Time, and Chandigarh runs the overnight build, load test and regression window so Seattle mornings begin with results. Every release ships behind feature flags with a documented rollback, and we require a production readiness review covering runbooks, alerts, dashboards and an on-call handover before anything carries real traffic.
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
Seattle enterprise stacks are unusually opinionated because so many local engineers built the underlying platforms. We work in C# on .NET 8 and .NET 9 with ASP.NET Core, Java 21 with Spring Boot, TypeScript on Node and Next.js, Go for infrastructure services, and Python for data and research workloads. Persistence runs on PostgreSQL, Azure SQL, SQL Server, Amazon Aurora, Cosmos DB and Redis, with Snowflake or Databricks for analytics. Event backbones run on Apache Kafka, Confluent Cloud, Amazon MSK or Azure Event Hubs. Orchestration runs on Azure Kubernetes Service, Amazon EKS or Google Kubernetes Engine, provisioned by Terraform or Bicep with GitHub Actions or Azure DevOps pipelines. Identity sits on Microsoft Entra ID, Okta or Keycloak with SCIM provisioning and step-up authentication for privileged operations. Observability runs on OpenTelemetry into Grafana, Datadog or Azure Monitor. Region selection is straightforward here: Azure West US 2 is physically in Washington State and is the lowest latency option for a Seattle user base, AWS us-west-2 (Oregon) is the regional workhorse with us-west-1 (N. California) as a pair, and GCP us-west1 (Oregon) covers Google-standard shops. Government workloads go to AWS GovCloud (US-West) or Azure Government.
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