Visier is the global leader in Workforce Intelligence that powers every people decision. We bring Workforce AI to life for HR departments through our award-winning, agentic AI technology by surfacing the insights leaders need to plan, decide, and act with confidence in the moments that matter most. As the market leader in people analytics, workforce planning, organizational design, and manager effectiveness solutions, we fuel smarter decision-making for organizations across the globe. Our mission is to help businesses lead with insight at scale as they continuously transform.
🏢 About Visier Solutions Inc
Founded in 2010 by the pioneers of business intelligence, we have over 85,000 customers in 75 countries—including enterprises like BASF, Panasonic, Domino’s Pizza, Experian, Amgen, eBay, and Ford Motor Company.
🎯 The Role
Visier is building the centralized control and data plane—the infrastructure, pipelines, and governance layer—that powers our internal AI transformation (Vector) across professional services, customer success, and internal knowledge. As the Staff DevOps Developer on this initiative, you will own the platform and integration layer that the entire system runs on.
In this role, you will bring a blend of software engineering discipline, deep cloud networking and Infrastructure as Code (IaC) expertise, and an eye for emerging AI agent architecture. You will evaluate emerging agent frameworks, set platform-wide engineering standards, and engineer secure, resilient architectures designed to scale.
✅ Key Responsibilities
Platform & Network Architecture: Define and operate a multi-cloud infrastructure across AWS and Azure—specifying compute, storage, VPCs, subnets, private endpoints, and load balancing with clear architectural rationale.
RAG Context Engine & MCP Servers: Design, build, and optimize the inference-time retrieval service—from query embedding and vector search to re-ranking—and expose this via Model Context Protocol (MCP) servers for governed agent access.
Infrastructure as Code & Modern CI/CD: Own platform infrastructure using Terraform across environments and establish automated CI/CD pipelines (Jenkins, Bitbucket, Artifactory) to deploy platform services and data pipeline artifacts.
AI Tooling & Agent Skill Integration: Define and lead the integration layer between the data warehouse and AI assistants, developing agent skill definitions, query APIs, and optimized prompt structures for reliable agent execution.
AI System Security & Platform Operations: Embed foundational security controls—secrets management, least-privilege IAM, network segmentation, and defenses against prompt injection—while establishing robust monitoring, cost governance, and observability.
📌 Required Qualifications
Education & Experience: 7+ years of professional software development and platform/DevOps engineering experience with a track record of independently owning complex architecture end-to-end; a Bachelor's degree in CS or Software Engineering is preferred.
Infrastructure as Code & Cloud Operations: Deep expertise in Terraform (modules, state management, remote backends) and hands-on operational mastery of AWS and Azure managed services.
Fixed hybrid work model: 3 days a week in office (Tuesday, Wednesday, Thursday)
Modern, pet-friendly downtown office spaces with collaborative areas and an on-site gym
Centrally located, modern office with quick access to public transit
Annual company All Hands in Vancouver, our entire organization travels to our Vancouver HQ for a week of team building, learning and breakout sessions
Competitive salary, and top-tier health and wellness benefits
Stock options and/or bonus based on your role, location, and employment type
Generous paid time off, including volunteering days and extra days over the December holidays
🛂 Visa & Eligibility
Benefits and working arrangements may vary depending on your seniority, location and employment type. The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role.
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