Top Tech Jobs & Startup Jobs in Vancouver

Supports IT infrastructure server builds and migrations through data collection, application mapping, technical documentation, scheduling, and cross-team coordination. The role requires hands-on Windows Server experience, troubleshooting, communication, and documentation skills. It also supports onsite deployment activities and may involve local travel. Familiarity with storage, networking, infrastructure security, data center migrations, project coordination, and Microsoft certifications is preferred.

Provides senior architectural leadership for large-scale digital transformation, service innovation, and modernization initiatives in a complex public-sector environment. Leads cross-functional Agile product teams and establishes technical direction across data, software, integrations, application design, and digital services. Responsibilities include domain modeling, database schema design, stakeholder communication, and architecture delivery across enterprise environments. The 12-month engagement is primarily remote within Canada and requires two recent project examples.

Develop and support modern digital services across multiple projects. Responsibilities include technical discovery, architecture documentation, full-stack development, production support, defect resolution, testing, deployment, reusable component development, and collaboration with product, design, and engineering teams in an Agile environment. The role also contributes to code quality, development standards, technical documentation, onboarding, and continuous improvement.

Develops, operates, troubleshoots, and modernizes enterprise data integrations using Talend. Responsibilities include building ETL/ELT pipelines, APIs, batch and real-time jobs, SQL transformations, scheduling, monitoring, production support, incident resolution, data quality, root-cause analysis, and platform maintenance. The role collaborates with technical and business stakeholders across development, testing, and production environments, while applying AI and automation to improve pipeline development, testing, monitoring, and documentation.

Develop, administer, integrate, and support IBM Datacap enterprise document-processing solutions. Responsibilities include building rulesets, workflows, actions, OCR and extraction processes; managing Datacap and Rulerunner environments; troubleshooting production issues; developing REST, SOAP, database, and FileNet integrations; supporting testing, releases, DevSecOps, security controls, and Agile product development.

Design scalable, secure healthcare data solutions on Google Cloud. Responsibilities require deep FHIR and healthcare interoperability expertise, including HL7 FHIR standards, healthcare APIs, legacy healthcare formats, integration engines, data modeling, analytics, and GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Run, and IAM. The role requires extensive cloud architecture experience and preferably a GCP Professional Cloud Architect or Professional Data Engineer certification.

Develop responsive, production-ready front-end applications for a modern document authoring platform. Translate UX/UI and Figma designs into accessible interfaces, build authoring workflows, integrate RESTful APIs and backend services, and support AWS-hosted environments. The role includes front-end architecture, component-based development, state management, troubleshooting, performance optimization, code reviews, and cross-functional collaboration while delivering a scalable MVP in an Agile environment.

Lead Salesforce DevOps and enterprise release management across multiple environments and business teams. Design and maintain Copado-based CI/CD pipelines, manage deployments across Development, QA, UAT, and Production, and enforce Git, branching, and environment-management practices. Coordinate cross-functional release activities, troubleshoot deployment issues, support governance, rollback planning, release validation, and post-deployment processes, and improve deployment automation and release efficiency.

Lead backend architecture for an internal reporting and business intelligence platform. Own technical roadmaps, make cross-service architectural decisions, establish engineering standards, review designs and code, solve complex technical problems, coordinate dependencies, manage technical debt, partner across teams, mentor engineers, and contribute hands-on code for high-risk work.

Lead the architecture, development, and implementation of an enterprise-grade agentic AI orchestration platform. Build reusable AI components and intelligent agents using Claude, LangGraph, RAG, vector databases, MCP, prompt engineering, and multi-agent workflows. Develop scalable FastAPI APIs, ensure AI security and responsible AI practices, support enterprise or regulated data environments, and provide technical leadership across architecture and engineering efforts.