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 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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Skills Required
- 5+ years of professional Software Development experience
- 7+ years of experience in DevOps or Systems Engineering
- Proficiency in Python or Go for automation, tool building, and AI agent integration
- Experience managing Kubernetes (AKS) and Infrastructure as Code (Terraform/Terragrunt)
- Bachelor's/Master's degree in computer science or equivalent experience
Guidepoint Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidepoint and has not been reviewed or approved by Guidepoint.
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Leave & Time Off Breadth — Paid time off and sick days are considered competitive for early‑career roles, with separate allocations for PTO and sick time. This breadth supports baseline work-life needs beyond just holidays.
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Retirement Support — A 401(k) plan with company matching is highlighted and aligned with mid‑market expectations. Employer verification of the match underscores a tangible long‑term benefit.
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Wellbeing & Lifestyle Benefits — A casual hybrid work environment, wellness activities, team events, commuter support, and office perks are emphasized. These culture‑oriented offerings add non‑cash value to the overall package.
Guidepoint Insights
What We Do
Guidepoint connects clients with vetted subject matter experts—Advisors—from our global professional network. Our clients leverage the insights and perspectives shared by our Advisors to stay informed and make better business decisions. Our multinational client list includes nine of the top 10 global consulting firms, hundreds of hedge funds (including five of the largest firms), and many of the largest private equity firms and Fortune-ranked companies. Guidepoint’s fourteen offices on three continents provide 24/7, quick and agile service.
