Guidepoint
Senior AI Platform Engineer (Agentic IDP)
Toronto, Ontario, Canada · Senior
Sponsorship not specified$115k-$140kDetected 75 days ago
PythonGoCode ReviewAzureCloud PlatformsKubernetesTerraformDatadogPlatform EngineeringAgentic AIResearchMentoringArgo CD
About the role
- As a Senior Platform Engineer, you will sit at the intersection of infrastructure reliability and developer experience.
- This position will be hybrid out of our Toronto office.
Responsibilities
- 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.
- 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.
- Work with the team to maintain and scale multi-region Azure/AKS environments using Terraform and ArgoCD.
- Collaborate with application engineers to implement deep observability via Datadog and establish meaningful reliability targets (SLOs).
- Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients' decision-making process.
Requirements
- 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
- Experience collaborating with application teams to define SLIs/SLOs and improve service reliability.
- Experience implementing GitOps (ArgoCD) and Policy-as-Code (Kyverno) to standardize team workflows.
- Expertise in Datadog for observability, dashboarding, and incident response.
- You will also be eligible for the following
Compensation
- The annual base salary range for this position is $115,000 - $140,000.
Benefits
- Additionally, this position is eligible for an annual discretionary bonus based on performance.
- You will also be eligible for the following benefits:
- Comprehensive benefits plan
- Development opportunities through the LinkedIn Learning platform
Company info
- 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.
- We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.
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