Senior AI Platform Engineer (Agentic IDP)

Overview: As a Senior Platform Engineer , you will sit at the intersection of infrastructure reliability and developer experience. You will not only maintain the scalability of our Kubernetes based cloud environment but also work collaboratively on the shift toward a self-service platform model. In this role, you will apply a software engineering mindset to infrastructure, leveraging Agentic AI to automate complex workflows and building the "Golden Paths" that eliminate manual bottlenecks. You aren't just managing clusters; you are architecting the software that manages them, ensuring our systems are resilient, cost-optimized, and inherently self-healing. This position will be hybrid out of our Toronto office. What You’ll Do: IDP Architecture & Development: Lead the design and implementation of an Internal Developer Platform that abstracts infrastructure complexity, providing developers with self-service capabilities for environment scaffolding and deployment. Collaborative Infrastructure: Work with the team to maintain and scale multi-region Azure/AKS environments using Terraform and ArgoCD . Reliability Partnership: Collaborate with application engineers to implement deep observability via Datadog and establish meaningful reliability targets (SLOs). AI-Driven Automation: Build Python-based AI agents and tools that reduce team "toil" and streamline common operational tasks. Full-Lifecycle Ownership: Participate in on-call rotations and lead collective RootCause Analysis ( RCA ), turning every incident into a platform improvement or automated fix. Mentorship & Standards: Contribute to team code reviews, document best practices, and help establish standard patterns for deployment and security. What You Have: Bachelor’s/Master’s degree in computer science, a related technical field, or equivalent practical experience. 5+ years of professional Software Development experience with a deep understanding of the full SDLC, system design, and clean code principles. 7+ years of experience in Platform Engineering with a focus on running large-scale production environments. Proficiency in Python or Go for automation, tool building, and AI agent integration. Experience managing Kubernetes (AKS) and Infrastructure as Code (Terraform/Terragrunt) in a team-based environment. Nice to Have: Proven track record of building or contributing to an Internal Developer Platform (IDP) (e.g., Backstage, internal CLI tools, or custom portals). Experience collaborating with application teams to define SLIs/SLOs and improve service reliability. Demonstrated ability to mentor junior engineers and lead team-wide technical initiatives. Experience implementing GitOps (ArgoCD) and Policy-as-Code (Kyverno) to standardize team workflows. Familiarity with building Agentic AI tools to automate repetitive operational tasks (toil). Expertise in Datadog for observability, dashboarding, and incident response. What We Offer: The annual base salary range for this position is $115,000 - $140,000. Additionally, this position is eligible for an annual discretionary bonus based on performance. You will also be eligible for the following benefits: Paid time off Comprehensive benefits plan Company RRSP match Development opportunities through the LinkedIn Learning platform About Guidepoint: Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. At Guidepoint, our success relies on the diversity of our employees, advisors, and