Senior Software Engineer - Data Platform & AI Automation (AI)

Location: Must be based in Vancouver, British Columbia, Canada. Hybrid work model with onsite work required at least 50% of the time for employees within commuting distance of a hirify.global office.

Salary: CAD 114,240–140,000 per year.

Company

hirify.global provides AI-enabled governance, risk and compliance SaaS solutions through the hirify.global One Platform.

What you will do

• Design and operate the cloud data platform, including ingestion, transformation, orchestration, and data serving.
• Integrate delivery, CRM, product telemetry, finance, support, and customer feedback data using shared identifiers, contracts, and lineage.
• Build continuously refreshed reporting that enables teams to manage by exception.
• Connect approved AI agents to governed data with structured outputs, provenance, guardrails, and human approval workflows.
• Build feature pipelines and MLOps controls for predictive use cases, including testing, versioning, promotion gates, and drift monitoring.
• Establish engineering standards for data quality, observability, PII classification, access control, CI/CD, and environment promotion.

Requirements

• Strong software engineering fundamentals, including production-quality code, API and interface design, testing, and systems design.
• Experience building and operating production data platforms on cloud warehouses or lakehouses, preferably Snowflake and AWS, with dbt and a modern orchestrator.
• Practical experience shipping AI tooling such as LLM-backed classification, extraction, structured-output pipelines, agent workflows, retrieval, and evaluations.
• Ability to assess model cost, latency, failure modes, and appropriate use cases.
• Experience with data quality, observability, lineage, versioned contracts, auditability, PII handling, CI/CD, DataOps, release gates, infrastructure automation, and rollback.
• Ability to work with engineering, product, finance, and security stakeholders.

Nice to have

• Experience with feature stores and MLOps tooling for serving and monitoring production models.
• Experience designing or working with MCP servers.
• Experience with BI platforms and semantic layers.
• Use of AI coding tools in daily development work.

Culture & Benefits

• Flexible hybrid work environment with office hubs across North America, Europe, Asia, and Australia.
• Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
• Global days of service and resources supporting diversity, inclusion, and employee resource groups.
• Culture focused on innovation, curiosity, collaboration, experimentation, and continuous learning.