Platform Engineer owning AWS, Kubernetes, observability, and Linux edge infrastructure. Improving reliability, automation, and developer workflows for Fleetworthy’s fleet - readiness technology.
About the role
- Associate Platform Engineer enabling secure, scalable Azure and Google Cloud AI/ML capabilities. Collaborating with teams to build Infrastructure as Code and automated testing frameworks.
Responsibilities
- Help with end-to-end delivery of Infrastructure as Code for cloud AI services
- Design platform abstractions that let application teams self-serve safely
- Embed security and compliance into the platform
- Build patterns for safe consumption of generative AI
Requirements
- 1+ years of cloud platform or infrastructure engineering experience
- Terraform - module design, composition, workspaces, testing, drift management, and pipeline patterns
- Python for platform work: SDK integrations, CLI/tooling, automated testing, packaging, observability hooks
- Experience with GitHub Actions (or comparable CI/CD) including reusable workflows, environments, OIDC-based cloud auth, deployment gating, and secret management
- Demonstrable experience deploying and operating AI/ML services on Azure (Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Bot Service, Azure ML) and/or Google Cloud (Vertex AI, BigQuery, Pub/Sub)
- Hands-on understanding of cloud networking at depth: VNets/VPCs, NSGs/firewall rules, hub-spoke and shared VPC patterns, private endpoints, ExpressRoute, DNS, and routing across hybrid topologies
- Security engineering instincts: RBAC/IAM design, identity federation (Azure AD/Entra, Google Cloud Identity, AD, PingFederate), Key Vault / Secret Manager, PKI and certificate lifecycle, data protection, and policy-as-code.
Benefits
- Base salary
- Variable compensation
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Staff Platform Engineer defining cloud and DevSecOps strategy for Robots & Pencils’ enterprise AI systems. Leading Kubernetes, AI/ML infrastructure, migrations, reliability, security, and platform standards remotely in Canada.
Security Platform Engineer managing Splunk SIEM and enterprise cybersecurity technologies for Sun Life’s financial services business. Investigating incidents, implementing controls, and supporting security transformation.
Principal platform developer designing AWS - native integrations, CI/CD pipelines, and developer tooling for Autodesk’s design software. Leading architecture, reliability, and cross - team engineering initiatives.
LP
Data Solution Architect – GCP, Kubernetes & ML Platforms
LinkedIn Recruiter Post
Hiring a Data Solution Architect for a 6 - month remote contract in Canada. Requires GCP, Kubernetes, and ML platform expertise.
Senior MLOps Developer operationalizing machine learning models and scalable AI/ML infrastructure for Autodesk’s design and entertainment software. Building deployment, monitoring, governance, and recovery systems.
LP
Sr. Site Reliability/ Platform Engineer (SRE – AWS OR Azure*****)
LinkedIn Recruiter Post
Senior SRE/Platform Engineer needed for global company. 6+ years SRE experience, AWS/Azure, Kubernetes, Terraform, observability tools. Contract - to - hire in Mississauga.
Senior Full Stack Engineer building GraphQL, React, and TypeScript platforms for PENN Entertainment’s online gaming and sports media products. Improving shared client tooling, server - driven UI, performance, observability, and release workflows.
Senior platform engineering lead shaping compute and virtualization strategy for BMO, a major bank. Driving modernization, architecture standards, automation and hybrid - cloud infrastructure transformation.
Staff Platform Software Engineer building reusable infrastructure for Cantina Labs’ social AI platform. Improving search, AWS operations, Go services, observability, and developer productivity.