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Added 17 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 19 hours ago
DevOps Engineer / Senior Cloud Platform Engineer
Amyantek
Toronto, ON
Contract
Senior DevOps Engineer / Senior Cloud Platform Engineer
Added 1 day ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 1 day ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
The role combines deep Copilot Studio and Power Platform domain expertise with genuine application-development problem-solving and product thinking. Working alone or with a small team, you…
Added 1 day ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 1 day ago
Senior Cloud Security Engineer ( Global Security)
RBC
Vancouver, BC · Toronto, ON
Full-time
…RBC’s AWS environment. In this role as a Senior Cloud Security Engineer, you will develop AWS security controls and drive the development of innovative cloud security solutions to enhance…
Added 1 day ago
Software Developer, Metadata
RBC
Calgary, AB
Full-time
…management and the financial services industry. As a Software Engineer, you’ll be responsible for architecting, building, and maintaining secure, scalable backend services for the critical…
Added 1 day ago
Software Development Engineer (Full Stack) - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
Evisort Engineering is growing! As a Fullstack Software Engineer, you’ll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management…
Added 1 day ago
Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
Full-time
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big,…
Added 1 day ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON · Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 1 day ago
Senior Software Engineer
AXIS (AXIS Capital)
Halifax, NS
Full-time
Collaborate with other adjacent IT teams such as Platform Engineering, DevOps and Data and Analytics
Added 1 day ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 1 day ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
…for the Canadian AI Engineering team while partnering closely with business leaders to expand Citco's Document Intelligence platform and AI-enabled operational…
Added 1 day ago
IT Senior Analyst, Power BI Development – Enterprise Analytics
Saputo Inc.
Mississauga, ON
Full-time
The Power BI Developer is a business‑focused analytics role responsible for partnering closely with business teams to design, deliver and sustain insightful Power BI dashboards and reports.…
Added 1 day ago
IT Senior Analyst, Power BI Development – Enterprise Analytics
Saputo Inc.
Montreal, QC
Full-time
The Power BI Developer is a business‑focused analytics role responsible for partnering closely with business teams to design, deliver and sustain insightful Power BI dashboards and reports.…
Added 1 day ago
Senior Consultant - GCP Cloud Infrastructure Architect
Deloitte
Toronto, ON
Full-time
CI/CD experience with Cloud Build, GitHub Actions, or GitLab; DevOps and SRE practices (SLOs, error budgets, blameless postmortems).
Added 1 day ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
…Conduct workshops • Support development teams during incidents with observability insights • Collaborate with SRE, DevOps, and platform engineering teams PERFORMANCE & COST…
Added 1 day ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC
Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 1 day ago
DevOps Engineer
Zepp Health
Vancouver, BC
Full-time
Experience with at least one major cloud platform (AWS, Azure, or GCP)
Added 1 day ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
…Conduct workshops • Support development teams during incidents with observability insights • Collaborate with SRE, DevOps, and platform engineering teams PERFORMANCE & COST…
Added 1 day ago
Senior Cloud Engineer
Vertage Global
Ottawa, ON
Contract
We are seeking a highly skilled Cloud Engineering Senior Engineer to join a dynamic Agile team responsible for designing, developing, and supporting a next-generation Telemetry &…
Added 1 day ago
Cloud Engineer
Vertage
Ottawa, ON · Kanata, ON
Contract
Seeking a Cloud Engineer with experience in cloud-native application development, API integration, and platform engineering. The role involves building and supporting Ford's Telemetry &…
Added 1 day ago
Cloud Data Platform Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
The successful candidate will bring advanced hands-on expertise in Terraform, PowerShell, ADO (Azure DevOps), CI/CD, branching strategies, infrastructure-as-code, cloud automation, and…
Added 1 day ago
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
Contract
5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
Added 1 day ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Senior Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)

Amyantek

DevOps Engineer / Senior Cloud Platform Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 26, 2026
Posting language: English
Posted: Sep 26, 2026

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Original job description

Senior DevOps Engineer / Senior Cloud Platform Engineer

Location: Downtown Toronto, ON

Work Model: Hybrid – 2 days onsite per week, 3 days remote

Contract: 6 months, with possibility of extension

Start Date: ASAP

End Client: Confidential

About the Role

We are seeking a highly hands-on Senior DevOps Engineer / Senior Cloud Platform Engineer to own and evolve a production AWS cloud platform.

This role requires deep AWS and Kubernetes expertise, with Amazon EKS being a critical requirement. We are specifically looking for someone who has personally designed, built, operated, secured, upgraded, troubleshot, and owned production EKS environments end-to-end.

This is not an application development role with some DevOps exposure, nor is it primarily a people-management position. The successful candidate must have a strong track record in core DevOps / Platform Engineering and remain deeply hands-on technically.

You will help define the DevOps roadmap, establish platform standards and reusable patterns, improve infrastructure automation and reliability, support application releases, and provide production support for critical workloads.

The role will also contribute to the practical adoption of AI within DevOps and infrastructure engineering, including AI-assisted Infrastructure as Code (IaC), automation, runbooks, operational workflows, incident response, and platform tooling.

Critical Screening Requirements

This is not an application developer position with some DevOps exposure. We require someone whose core professional background demonstrates substantial, hands-on DevOps / Platform Engineering experience, particularly with AWS and production Amazon EKS.

The resume must provide concrete project-level evidence, not simply keywords. It should clearly demonstrate:

EKS environments the candidate personally designed, built, and owned end-to-end
Cluster architecture, lifecycle management, upgrades, networking, security, and troubleshooting responsibilities
Terraform/IaC solutions the candidate personally designed or implemented
Platform standards, reusable modules, guardrails, frameworks, or engineering practices they established
Production incidents and complex infrastructure issues they personally troubleshot and resolved
Specific examples of applying AI to DevOps, infrastructure, automation, or platform engineering
Evidence of technical/platform leadership while remaining hands-on

Simply listing AWS, Kubernetes, EKS, Terraform, DevOps, or AI in a technical skills section without concrete evidence of hands-on implementation and ownership will not be sufficient.

What We Need

Amazon EKS – End-to-End Ownership

Deep, hands-on experience with Amazon EKS in production environments
Proven experience personally designing, building, deploying, operating, upgrading, securing, monitoring, and troubleshooting EKS clusters
Strong Kubernetes architecture and operations expertise
Experience owning EKS environments throughout their full lifecycle
Strong knowledge of cluster networking, security, RBAC, IRSA, secrets, observability, capacity management, upgrades, and production troubleshooting
Experience resolving cluster-level production incidents, not simply application-level deployment issues

Candidates whose Kubernetes experience is primarily limited to deploying applications onto clusters managed by another team will not meet the core requirement.

AWS & Infrastructure as Code

Strong hands-on AWS infrastructure experience, including multi-account and multi-environment architectures
Advanced experience with Terraform; Terragrunt experience is highly desirable
Experience designing reusable IaC modules and environment-driven infrastructure
Strong understanding of AWS networking, IAM, security, secrets, encryption, tagging, and infrastructure guardrails
Experience with infrastructure automation, reliability, observability, and production support
Strong incident management, root-cause analysis, and troubleshooting capabilities

Platform Engineering & Technical Leadership

Proven experience establishing DevOps/platform standards, tooling, frameworks, guardrails, and engineering practices
Ability to define how infrastructure should be built, deployed, secured, monitored, and operated
Experience creating reusable IaC modules, CI/CD standards, automation frameworks, runbooks, reference architectures, and platform patterns
Experience conducting technical/design reviews and influencing DevOps or platform roadmaps
Ability to provide technical leadership while remaining strongly hands-on

AI for DevOps / Infrastructure

We are looking for demonstrated practical exposure to applying AI within DevOps, cloud infrastructure, or platform engineering, such as:

AI-assisted Terraform/IaC authoring and review
AI-assisted pipeline and automation development
Infrastructure/platform automation
Operational documentation and runbook creation or improvement
Incident summarization, troubleshooting, and triage
Internal tooling for infrastructure or platform teams
Evaluation and adoption of AI coding assistants or platform tools
Internal LLM/RAG solutions for operational knowledge

Candidates should understand the importance of verification, security, compliance, governance, and change control when using AI in production environments.

Key Responsibilities

Define and drive DevOps priorities across security, reliability, cost, scalability, and delivery velocity
Establish AWS standards, guardrails, and reusable patterns across networking, identity, secrets, tagging, and infrastructure
Design, implement, and review infrastructure using Terraform and Terragrunt
Build and own Amazon EKS environments end-to-end, including:
Cluster architecture, creation, and lifecycle management
Version upgrades and patching
Node groups and capacity management
VPC/CNI, DNS, ingress, and networking
RBAC, IRSA, secrets, and security controls
Add-ons and cluster baseline tooling
Monitoring, logging, tracing, and observability
Performance, reliability, and cost optimization
Production troubleshooting and cluster-level incident resolution
Develop and maintain CI/CD pipelines and safe promotion processes across development, non-production, and production environments
Work with AWS services including RDS/Aurora, DynamoDB, S3, CDN, KMS, Secrets Manager, SNS, Lambda, and EventBridge
Support IAM, VPC, and multi-account/multi-environment AWS architectures
Partner with development teams on releases, deployment strategies, rollbacks, and post-release validation
Participate directly in production incident response, root-cause analysis, and preventive remediation
Improve monitoring, alerting, dashboards, operational documentation, and runbooks
Partner with security, architecture, and engineering teams on least-privilege access, encryption, backup/DR, and audit-ready operations
Identify practical opportunities to use AI to improve infrastructure engineering and operational efficiency

Required Qualifications

6+ years of experience across DevOps, SRE, Platform Engineering, Systems Engineering, or related infrastructure-focused roles
4+ years of hands-on AWS production experience
Deep Amazon EKS expertise – mandatory
Demonstrated experience personally building and owning production Kubernetes/EKS environments
Strong hands-on experience with Terraform and modular Infrastructure as Code
Strong knowledge of Kubernetes networking, security, RBAC, IRSA, secrets, observability, capacity management, and production troubleshooting
Strong understanding of CI/CD, artifact promotion, secrets injection, and multi-environment deployment practices
Experience responding directly to production incidents, conducting RCAs, and implementing long-term remediation
Experience establishing technical standards, conducting design reviews, and contributing to DevOps/platform roadmaps
Demonstrated experience or strong practical exposure to AI-assisted DevOps or platform engineering
Excellent communication skills and ability to collaborate across engineering, security, architecture, and development teams

Preferred Qualifications

AWS Solutions Architect – Professional or AWS DevOps Engineer – Professional
CKA or CKS certification
Terragrunt experience
Helm / Helmfile experience
Policy-as-code and Kubernetes cluster baseline tooling
PostgreSQL / AWS RDS experience
Experience in regulated, enterprise, or other high-stakes production environments
Experience defining SLOs, error budgets, or platform KPIs
AWS cost optimization / FinOps exposure
Experience with AI coding assistants, internal LLM/RAG solutions, or AI-enabled platform operations

Apply About employer

More about this job

Responsibilities

Own and evolve production AWS infrastructure, including designing, building, securing, upgrading, and troubleshooting Amazon EKS clusters and Terraform-based infrastructure. Establish platform standards and automation, support CI/CD and production operations, resolve incidents, and identify practical applications of AI in infrastructure engineering.

Requirements

Requires at least 6 years of infrastructure-focused experience, 4 years of hands-on AWS production experience, and deep personal ownership of production EKS environments. Candidates must demonstrate strong Terraform, Kubernetes operations, incident response, platform leadership, and practical exposure to AI-assisted DevOps.

Skills

Amazon EKS
AWS
Kubernetes
Terraform
Terragrunt
Infrastructure as Code
Platform Engineering
DevOps
CI/CD
AWS Networking
IAM
Incident Response
Root-Cause Analysis
AI-Assisted DevOps
Observability
Production Troubleshooting

Visa sponsorship

Not detected in the job text

Keywords

AWS
Amazon EKS
Kubernetes
Terraform
Terragrunt
Helm
Helmfile
Infrastructure as Code
Platform Engineering
DevOps
SRE
CI/CD
Multi-Account Architecture
AWS IAM
VPC
RBAC
IRSA
Secrets Manager
KMS
RDS
Aurora
DynamoDB
S3
Lambda
EventBridge
Policy as Code
Observability
Incident Response
Root-Cause Analysis
AI-Assisted Infrastructure Engineering

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