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Added 7 mins ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 36 mins ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 1 hour ago
Senior Developer Engineer/Leader
Xcelerated Consulting Group, LLC.
Montreal, QC
Contract
DevOps & Build Automation: Drive efficient delivery pipelines by leveraging DevOps methodologies and tools - Jenkins for CI, Maven for build management, Artifactory for artifact management,…
Added 6 hours ago
Lead Data Engineer
National Bank of Canada
Montreal, QC
Full-time
Knowledge of Amazon Web Services, Snowflake, Terraform and collaborative development tools, as well as DevOps practises, automation, automated testing and continuous integration and…
Added 15 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 19 hours ago
Senior Quality Assurance Automation Engineer
Tekgence Inc
Montreal, QC
Contract
Contribute to DevOps automation and improvements.
Added 20 hours ago
Data Pipeline QA
Insight Global
Toronto, ON
$50 to $65 CAD / hour
Contract
Insight Global is looking for a Senior QA Automation Engineer to join a high-performing team focused on data pipeline validation and reporting quality. This individual will be responsible…
Added 20 hours ago
Lead AI engineer
Hays
Halifax, NS
$150,000 to $175,000 CAD / year
Full-time
…learning, generative AI, document intelligence, and intelligent automation solutions. This role combines people leadership, technical strategy, hands-on engineering oversight, and…
Added 20 hours ago
Senior Cryptographic Protocol Engineer
SuperQubit Inc.
Markham, ON
Full-time
Job Title: Senior Cryptographic Protocol Engineer
Added 21 hours ago
Digital Technical Delivery Lead
Raise
Calgary, AB
Contract
The Senior Digital Technical Delivery Lead will report into an enterprise Digital Program and focuses on leading delivery teams in the planning, design, development in support of the…
Added 22 hours ago
Manager - Release, Configuration & Environment Management
Hays
Toronto, ON
Contract
…significant technology transformation, focused on modernizing software delivery, strengthening governance, and improving operational resilience. As part of a growing Technology…
Added 3 days ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
…outcomes. We do this through the delivery of secure cloud, AI, software and digital workplace solutions that enable agility, innovation and…
Added 3 days ago
Senior AI Full‑Stack Engineer
Manulife
Waterloo, ON
Full-time
We are seeking a Senior Full‑Stack AI Engineer to help shape how modern AI‑driven software is built, deployed, and scaled. In this role, you will work at the intersection of cloud…
Added 3 days ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
…financial services industry. Our AI Engineering teams use modern software engineering practices, AI-assisted development, and cross-functional collaboration to deliver reliable solutions…
Added 3 days ago
IT Senior Analyst, Power BI Development – Enterprise Analytics
Saputo Inc.
Mississauga, ON
Full-time
Engineer high‑quality semantic models (datasets) optimized for performance, reusability, and enterprise reporting
Added 3 days ago
IT Senior Analyst, Power BI Development – Enterprise Analytics
Saputo Inc.
Montreal, QC
Full-time
Engineer high‑quality semantic models (datasets) optimized for performance, reusability, and enterprise reporting
Added 3 days ago
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
Full-time
The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and…
Added 3 days 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 3 days ago
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 3 days ago
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
Full-time
You are a hands-on senior QA automation engineer who can go beyond executing existing test scripts. You can design frameworks, understand complex backend integrations, trace data across…
Added 4 days ago
Director, Data Engineering, International Banking, Toronto, Mexico, Colombia, Peru
Scotiabank
Toronto, ON
The Director, DataOps is a senior technology leadership role accountable for the operational excellence, reliability, security, scalability, and cost efficiency of the Azure Databricks…
Added 4 days ago
Senior Guidewire QA Engineer
Cognizant
Toronto, ON
$60,000 to $90,000 CAD / year
Full-time
We are looking for a Senior Guidewire QA Engineer to join our QEA team. The ideal candidate will have extensive experience in Guidewire testing and a strong Property and Casualty Insurance…
Added 4 days ago
Senior Data Platform Engineer
Project X Ltd.
Toronto, ON
Full-time
We are looking for a Senior Data Platform Engineer to help an enterprise client evolve its data platform. The environment runs on AWS and includes Snowflake, Matillion and Salesforce. The…
Added 4 days ago
Senior Data Platform Engineer
Project X
Toronto, ON
Full-time
We are looking for a Senior Data Platform Engineer to help an enterprise client evolve its data platform. The environment runs on AWS and includes Snowflake, Matillion and Salesforce. The…
Added 5 days ago
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Urban Ridge Supplies
Toronto, ON
Full-time
We are seeking an experienced and highly motivated Senior AI Engineer to join the Technology Strategy team supporting transformative AI initiatives. This role is focused on designing,…

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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