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AWS Platform Architect & Lead

Job in Hamilton, Ontario, E8H, Canada
Listing for: Pyramid Consulting, Inc
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, AWS
Salary/Wage Range or Industry Benchmark: 80 - 83 CAD Hourly CAD 80.00 83.00 HOUR
Job Description & How to Apply Below

Immediate need for a talented AWS Platform Architect & Lead. This is a 12+ months contract opportunity with long-term potential and is located in Canada (Remote).

Job
-31157

Pay Range: $80/hr - $83/hour.

Key Responsibilities:
  • Platform Foundation & Infrastructure
  • Own and evolve the AWS multi-account architecture: account vending, AWS Control Tower governance, SCPs, and organizational unit design that enforces workload and identity boundaries.
  • Design and operate the core networking layer — VPCs, Transit Gateway, Private Link, Direct Connect, and segmentation policies that all workloads inherit.
  • Build and maintain a centralized IaC module library (Terraform and/or AWS CDK): versioned, opinionated primitives covering compute, networking, storage, security, and observability that product and engineering teams consume directly.
  • Establish and enforce platform-wide security baselines: IAM role design, permission boundaries, KMS key hierarchy, secrets management patterns, and zero-trust network posture.
  • Own the platform Fin Ops strategy — Reserved Instance and Savings Plan coverage, cost allocation tagging, chargeback models, and automated rightsizing.
  • Drive CI/CD and Git Ops strategy for infrastructure delivery, ensuring consistent, auditable, and self service deployment patterns across all environments.
  • Runtime Patterns & Reference Implementations
  • Define and own runtime execution patterns for the platform: containerized workloads (EKS/ECS/Fargate), serverless (Lambda), and the scaling, lifecycle, and deployment standards that govern them.
  • Build orchestration infrastructure supporting complex, multi-step workloads: workflow engines, event-driven triggers (Event Bridge, SQS, Step Functions), and inter-service coordination patterns.
  • Design data persistence and state management strategies across the platform — covering relational, No

    SQL, caching, and object storage — with clear guidance on when to use each.
  • Develop and publish canonical reference implementations: production-ready patterns for common workload types that engineering teams clone, adapt, and own — reducing time-to-production and ensuring architectural consistency.
  • Standardize integration patterns across the platform: service connectivity, authentication flows, API gateway configurations, and cross-account access models.
  • Partner with application and product engineering teams to translate workload requirements into reusable platform capabilities, so new use cases can be onboarded without custom platform work.
  • Team Leadership & Engineering Culture
  • Lead, mentor, and grow a team of platform engineers, setting technical direction, running design and code reviews, and building a high-bar engineering culture.
  • Drive the RFC and architectural review process across both foundational and runtime platform domains.
  • Champion a self-service platform model — application teams should be able to deploy and operate workloads without requiring platform team intervention for every request.
  • Serve as the primary technical authority for platform-layer decisions across engineering, security, and product stakeholders.
  • Partner with recruiting to attract and assess platform engineering talent. Security, Observability & Reliability
  • Implement observability standards across the full platform stack: infrastructure metrics, distributed tracing, log aggregation, and alerting that gives teams operational confidence.
  • Ensure all platform layers meet security and compliance requirements — audit trails, data residency controls, encryption standards, and access governance.
  • Own platform-layer incident response: on-call rotation structure, runbook standards, and a blameless post-mortem culture.
  • Define and track platform SLOs and reliability targets, with clear escalation paths when services…
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