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.

Overview:

We are seeking a highly experienced Platform Engineer to architect, build, and operate a next-generation AI-powered Internal Developer Platform (IDP) that enables rapid, secure, and scalable software delivery across the enterprise.

This role will manage a critical Kubernetes platform and drive automation through Terraform, ArgoCD, and Azure DevOps. While your foundation is rooted in SRE and DevOps excellence, you will also lead our efforts to integrate Agentic AI into the platform, building intelligent workflows that automate environment provisioning, incident triage, and self-service capabilities to eliminate operational friction.

You will operate at the intersection of Platform Engineering, Cloud Infrastructure, AI automation, and Developer Experience, building systems that empower engineering teams to move faster with higher reliability and lower operational overhead.

Tech Stack Mandate

What You’ll Do: 

• Platform Architecture: Design, Develop and evolve a self-service Internal Developer Platform (leveraging Backstage or similar) to abstract cloud complexity for engineering teams.
• Infrastructure as Code (IaC): Lead the development of modular, enterprise-grade Terraform libraries to manage multi-region Azure and AWS environments.
• Kubernetes Orchestration: Operate and manage large-scale Kubernetes clusters, focusing on networking, security hardening, and workload autoscaling.
• Continuous Delivery: Own the CI/CD lifecycle by building robust Azure DevOps Pipelines and implementing GitOps patterns using Argo CD.
• AI-Enhanced Automation: Develop Python-based automation and AI agents to assist in infrastructure scaffolding, policy enforcement, CI/CD actions and proactive cost optimization.
• SRE & Reliability: Partner with dev teams to define SLIs/SLOs and integrate observability (Datadog/Prometheus) to create self-healing infrastructure loops.
• Developer Advocacy: Continuously improve Developer Experience (DevEx) by reducing cognitive load and providing automated onboarding and documentation for new services.

Required Technical Qualifications: 

• 7+ years in Platform Engineering, DevOps, or Site Reliability Engineering.
• Expert-level Terraform: Experience managing complex state, custom providers, and enterprise-grade modules.
• K8s Specialist: Deep understanding of CNI, CSI, Ingress Controllers, and Service Mesh.
• Python Mastery: Ability to write production-grade Python for building CLI tools, automation scripts, and AI agent logic.
• Agentic AI Experience: Proven experience moving beyond simple prompts to building autonomous agents that use tools/APIs to perform tasks day to day platform engineering tasks
• Production GitOps: Hands-on experience scaling Argo CD across hundreds of microservices.

Preferred Qualifications: 

• Experience with Azure OpenAI Service and building RAG (Retrieval Augmented Generation) systems f
• Knowledge of Policy-as-Code (OPA/Gatekeeper or Kyverno) integrated into CI/CD.
• Background in FinOps, specifically using AI to drive automated cloud cost reduction.

Competencies:

• Zero-Touch Provisioning: A developer can go from "Idea" to "Production-Ready URL" in minutes via an AI-guided workflow.
• Autonomous SRE: AI agents proactively identify and fix 30% of common infrastructure drift or pod failures before a human is paged.
• Immutable Infrastructure: 100% of production changes are driven via Terraform and Argo CD—no manual "click-ops."

What We Offer: 

• Competitive compensation 
• Employee medical coverage 
• Central office location 
• Entrepreneurial environment, autonomy, and fast decisions 
• Casual work environment 

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 client base, which allows us to create connections that offer a wealth of perspectives. 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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