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Added 7 hours ago
AI Engineer Intern
Electronic Arts (EA)
Vancouver, BC
Temporary
The AI Platform team delivers centralized AI resources across all Electronic Arts franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide…
Added 8 hours ago
Senior DevOp Engineer
MarkiTech.AI
Toronto, ON
$70 to $85 CAD / hour
Contract
We are hiring a senior DevOps engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape…
Added 8 hours ago
Senior Security Detection Engineer (Global Security)
RBC
Toronto, ON
Full-time
The role of the Senior Security Detection Engineer is to provide specialized subject matter expertise for the Detection Engineering & Automation (DEA) team, for RBC's Global Cyber Security.…
Added 10 hours ago
Senior Backend Engineer, NodeJS | LATAM
Deel
Canada
Full-time
Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today,…
Added 10 hours ago
DevOps Manager
Rightsline Inc
Toronto, ON
$85,000 to $95,000 CAD / year
Rightsline is hiring a DevOps Manager, based in Toronto, to lead the team that owns our cloud platform, delivery pipelines, and production reliability across North America and Europe. You…
Added 11 hours ago
Senior Data Engineer
Tubi - Canada
Toronto, ON
As a Senior Data Engineer at Tubi, you'll be instrumental in developing and maintaining robust data processing pipelines that underpin our reporting, analytics, and performance insights.…
Added 12 hours ago
Senior Software Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
Autodesk’s Data Platform is building the next generation of data infrastructure, AI native, scalable, and developer-friendly systems that power analytics, AI, real-time insights, and…
Added 12 hours ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Expert-level Senior Integration Developer with Intelligent Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and…
Added 12 hours ago
Sr. Software Engineer (Salesforce), Specialty Health Technology
Loblaw Companies Limited
Brampton, ON
Full-time
As a Senior Software Engineer (Salesforce), you will be part of the Specialty Health Technology team, building and evolving large-scale Salesforce solutions that support the SHN business.…
Added 13 hours ago
Senior Manager, Data Services & Platforms
Purolator
ON · Mississauga, ON
The Senior Manager, Data Services & Platform is a newly established leadership role within the Data, Governance & Analytics (DG&A) Hub at Purolator. This role owns two connected…
Added 15 hours ago
Manager - Release, Configuration & Environment Management
Hays
Toronto, ON
Contract
Partner with infrastructure, cloud, and platform teams to maintain environment stability and reliability.
Added 15 hours ago
Senior Principal Software Engineer, R&D
Mastercard
Toronto, ON
Full-time
Senior Principal Software Engineer, R&DOverview
Added 15 hours ago
Staff Information Security Engineer - Threat Detection & Response
Visier Solutions Inc
Vancouver, BC
This senior technical IC role owns Visier’s threat detection and response capabilities end-to-end - driving the overarching strategy, tooling engineering, detection content, and incident…
Added 16 hours ago
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
Contract
…on any combination of the following platforms - Kubernetes, cloud (AWS, Azure, and/or Google), API-based development, REST framework, data engineering, large-scale API gateway environments,…
Added 17 hours ago
Data Engineer
InfoFarm
Engineer, BC
Full-time
We are looking for a Data Engineer to help design, build, and maintain modern data platforms that power data-driven decision-making. You’ll work closely with senior engineers and business…
Added 17 hours ago
Senior Data Engineer
Ipsos in Canada
Vancouver, BC
Full-time
We’re looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and…
Added 17 hours ago
Artificial Intelligence Engineer
Hays
Halifax, NS
Full-time
Opportunities are available at both the Senior AI Engineer and Team Lead, AI Engineering levels. Successful candidates will play a key role in designing, building, scaling, and supporting…
Added 18 hours ago
Sr. Consultant, Enterprise Data Analytics (Fixed Term - 20 Months)
CIBC
Toronto, ON
Full-time
As a Senior Consultant, Analytics Engineer you will be a key member of the Enterprise Data Engineering team. You need to be proficient in Databricks, Delta Lake for data management, SQL and…
Added 18 hours ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Full-time
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 19 hours ago
Senior Cloud Infrastructure Engineer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
Every video frame we capture, label, and deliver to customers moves through AWS infrastructure this team builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design,…
Added 20 hours ago
Senior Business Systems Analyst (BSA) – Infrastructure & Developer Platform
Flow Global Technology
Vancouver, BC
Contract
8+ years as a Business Systems Analyst, Technical Analyst, Platform Product Owner, or similar role, including at least 3 years supporting infrastructure, cloud, or DevOps teams.
Added 20 hours ago
Senior Platform Engineer – RPA & Automation : Toronto, ON : Hybrid : Full time
AceStack
Toronto, ON
Full-time
Role: Senior Platform Engineer – RPA & Automation
Added 1 day ago
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI,…
Added 1 day ago
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI,…
Added 1 day ago
Senior Data Engineer, Temporary
Aviso
Toronto, ON
Temporary
Reporting to the Sr Director, Data Platform Delivery and Engineering, the Data Engineer is responsible for designing, building, and collaborating with Development, Security, and TSP Ops…

MarkiTech.AI

Senior DevOp Engineer

Toronto, ON, Canada

Pay: $70 to $85 CAD / hour
Job type: Contract
Workplace: Hybrid
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

About the Job Senior DevOps Engineer (alternate: Senior Cloud / Platform Engineer) About the role:

We are hiring a senior DevOps engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape the DevOps roadmap (standards, tooling, automation, and operational excellence), support application releases, and provide production support for critical workloads. Amazon EKS is central to how we run workloads - we need someone with deep, production-grade EKS expertise who has built and owned Kubernetes on AWS end-to-end, not only deployed apps to a cluster someone else runs. You will also lead how we adopt AI for infrastructure and platform work - not as a buzzword, but as a practical force multiplier: safe use of AI-assisted authoring and review for IaC and automation, clearer runbooks and incident workflows, and evaluation of tools and patterns that improve speed without weakening security, compliance, or change control. This role suits someone who combines deep AWS practice with leadership: you can define “how we build and run” while still being hands-on in pipelines, clusters, and incidents.

What You Will Do

Roadmap & standards: Define and socialize DevOps priorities (security, reliability, cost, velocity). Align teams on AWS Well-Architected practices, tagging, guardrails, and repeatable patterns for networking, identity, secrets, and data.
AI adoption for infra & platform: Drive a pragmatic AI strategy for the team - e.g. standards for AI-assisted IaC and pipeline changes (review gates, testing, drift detection), documentation and runbook quality, incident summarization and triage workflows where appropriate, and guardrails so AI tooling fits regulated or high-stakes environments. Stay current on vendor and open-source options; pilot, measure, and roll out what actually reduces toil.
Infrastructure as code: Design, review, and implement changes using Terraform and Terragrunt, with clear module boundaries, environment- specific config, and safe promotion across dev → non-prod → production.
EKS (critical): Build, operate, and own the Kubernetes platform on AWS - cluster lifecycle (creation, upgrades, patching), node groups / capacity, networking (CNI, service mesh or ingress as used), security (RBAC, admission controls, pod security, secrets and IRSA), add-ons, and cost/ reliability tuning. Partner with app teams on standards for workloads, namespaces, and safe rollouts; be the escalation point for cluster-level incidents.
Broader AWS platform: Operate and improve adjacent services - e.g. RDS/Aurora, DynamoDB, object storage and CDN, KMS, Secrets Manager, SNS (alerting), Lambda, EventBridge, and CI/CD (CodePipeline / CodeBuild, connections to source control) - plus IAM, VPC, and multi-tenant or multi-namespace patterns where applicable.
Release engineering: Partner with development teams on release processes, deployment strategies, change management, rollbacks, and post-release verification in regulated or high-stakes environments (e.g. healthcare-adjacent workloads).
Production support: Participate in on-call or escalation rotation as defined by the team; troubleshoot incidents, drive root-cause analysis, and implement preventive fixes (runbooks, dashboards, alarms, automation).
Observability & operations: Improve monitoring, logging, tracing, and alerting; tune thresholds; reduce noise; document operational procedures.
Collaboration: Work with security, architecture, and engineering leads to implement least-privilege access, encryption, backup/DR posture, and audit-friendly operations - including how AI-assisted workflows meet security and audit expectations.

Required

What we are looking for:

6+ years in software / systems / DevOps / SRE roles, including 4+ years focused on AWS in production.
Strong command of infrastructure as code (Terraform) and modular, environment-driven layouts (experience with Terragrunt or similar composition patterns is a plus).
Deep, mandatory expertise in Amazon EKS: You have prior experience building and owning Kubernetes on AWS - not only deploying applications to a shared cluster. We expect fluency across the stack: cluster design and lifecycle, upgrades and patching, networking (VPC/CNI, DNS, ingress), identity and security (RBAC, IRSA, secrets, guardrails), observability, capacity and performance, and production troubleshooting. Surface-level or “I’ve used kubectl” experience is not sufficient.
Solid grasp of CI/CD, artifact promotion, secrets injection, and safe change practices in multi-environment pipelines.
Experience with production incidents: triage, communication, RCAs, and durable remediation.
Demonstrated interest or experience in applying AI to DevOps/platform work (e.g. AI-assisted coding and review workflows for IaC, internal tooling, or operational documentation) - with judgment about limits, verification, and risk in production systems.
Ability to influence without authority: written standards, design reviews, and roadmap proposals that engineering teams actually adopt.
Excellent communication skills; comfortable working with distributed teams and stakeholders outside pure engineering. Preferred:
AWS certifications (e.g. Solutions Architect Professional, DevOps Engineer) or equivalent demonstrated depth.
Kubernetes certifications (e.g. CKA, CKS) or equivalent evidence of advanced Kubernetes/EKS depth.
Experience with Helm / Helmfile, policy-as-code, or cluster baseline tooling.
Familiarity with PostgreSQL/RDS, multi-tenant data patterns, or regulated-industry constraints.
Experience shaping SLOs, error budgets, or platform KPIs.
Exposure to cost optimization (rightsizing, scheduling non-prod, storage lifecycle) and FinOps collaboration.
Hands-on experimentation with AI coding assistants, internal LLM or RAG patterns for ops knowledge, or evaluating vendor tools for the platform team.

This is a Hybrid role.

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More about this job

Responsibilities

Own and evolve the AWS cloud platform, with hands-on responsibility for building and operating EKS, infrastructure as code, CI/CD, security, reliability, and production support. Set DevOps standards and roadmap, improve release and operational practices, and guide practical, secure adoption of AI for platform and infrastructure work.

Requirements

Requires 6+ years in software, systems, DevOps, or SRE roles, including 4+ years working with AWS in production, plus strong Terraform and CI/CD experience. Deep, end-to-end production expertise building and owning EKS is mandatory, along with incident response experience, sound judgment applying AI to platform work, and the ability to influence engineering teams.

Skills

Amazon EKS
AWS
Kubernetes
Terraform
Terragrunt
Infrastructure As Code
CI/CD
Cloud Platform Engineering
Incident Management
Production Support
Observability
AWS IAM
VPC Networking
AI-Assisted DevOps
Release Engineering
Security And Compliance

Visa sponsorship

Not detected in the job text

Keywords

AWS
Amazon EKS
Kubernetes
Terraform
Terragrunt
Infrastructure As Code
CI/CD
AWS Well-Architected
IAM
VPC
IRSA
RBAC
Helm
Helmfile
RDS
Aurora
DynamoDB
KMS
Secrets Manager
Lambda
EventBridge
CodePipeline
CodeBuild
Policy As Code
Observability
Incident Management
Root-Cause Analysis
AI-Assisted IaC
SLOs
FinOps

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