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Added 1 hour ago
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Founding CTO
Kouvre
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- Full-time
Kouvre is the AI agent for restaurants. Independent owners text it like an employee and it runs the business for them: launching promos, fixing menus, changing prices, replying to reviews,…
Added 1 hour ago
HT
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
- Full-time
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- Full-time
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Maarut
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- From $101 CAD / day
- Full-time
- On-site
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Added 6 hours ago
BC
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…transforms what's possible, you belong on #TeamBell.On the Bell Business Markets team, you'll be a vital part of making innovation happen for enterprise-scale customers. You'll deliver…
Added 7 hours ago
Information Security Officer 3 (Security Architect, Application and Product Security)
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Edmonton, AB
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Bolton, ON
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Added 7 hours ago
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Mississauga, ON
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Added 7 hours ago
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AKS Workstream Lead
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Mississauga, ON
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Senior BI Developer
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- Full-time
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Solutions Architect - Professional Services
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Added 11 hours ago
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Data Architect
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Added 12 hours ago
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Data Architect
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Vancouver, BC
- Full-time
As a Data Architect, you will lead the design and evolution of Vancity’s cloud-native data ecosystem as our data and analytics platforms migrate to Azure. You will define secure, scalable,…
Added 12 hours ago
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Enterprise Architect
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adidas

Platform & Site Reliability Engineer

Woodbridge, ON, Canada

The working location of this position is Woodbridge, ON - CanadaThe anticipated low and high end of the base pay range for this position is $107,000 - $117,000 CAD. · Full-time

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Job details

Pay: The working location of this position is Woodbridge, ON - CanadaThe anticipated low and high end of the base pay range for this position is $107,000 - $117,000 CAD.
Job type: Full-time
Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

Platform & Site Reliability Engineer (Dev Ops/ AWS / SRE / Cloud)

The Opportunity

adidas NAM Tech is enhancing an enterprise web application and building AI, automation solutions that supports essential business processes across the NAM market.

We are seeking a highly skilled Platform & SRE Engineer who can provide the cloud, platform, DevOps, reliability, security, deployment, observability, and operational foundation that enables AI, automation, APIs, MCP services, and web enterprise applications to run reliably in production.

In this role, you will collaborate with a Solution Architect, Technical Lead, Product Owner, Software Developer, as well as quality engineering, security partners, and business stakeholders to deliver secure, reliable, and maintainable solutions.

Role Purpose

Design, implement, secure, automate, operate, and optimize AWS infrastructure, deployment platforms, monitoring capabilities, and operational processes supporting AI, automation, integration, and application solutions.

DevOps Responsibilities

Build and maintain CI/CD pipelines using GitHub Actions, GitLab, Jenkins, AWS CodePipeline, CodeBuild, and CodeDeploy.
Implement Infrastructure as Code using Terraform and AWS CloudFormation.
Automate deployments, environment provisioning, releases, and operational tasks.
Manage container platforms including ECS, EKS, Kubernetes, and Docker.
Establish release management standards and deployment governance.
Improve deployment reliability, scalability, and recovery processes.

AWS Platform Responsibilities

Design and manage AWS environments supporting enterprise applications and AI workloads.
Administer VPCs, networking, routing, security groups, DNS, and connectivity patterns.
Manage IAM roles, policies, secrets, keys, and least-privilege access controls.
Support EC2, ECS, EKS, Lambda, and containerized workloads.
Administer RDS PostgreSQL and related database services.
Manage S3 storage, lifecycle policies, backups, and archival strategies.
Configure Route53, load balancers, and high-availability services.
Drive AWS cost optimization and usage visibility.
Own backup, disaster recovery, and business continuity readiness.

Site Reliability Engineering Responsibilities

Define and maintain monitoring, observability, alerting, dashboards, and operational metrics.
Establish SLIs, SLOs, reliability targets, and operational health indicators.
Lead incident response, root-cause analysis, and post-incident improvements.
Improve system availability, scalability, performance, and resilience.
Implement centralized logging, tracing, and telemetry capabilities.

Required Technical Skills

AWS (VPC, IAM, EC2, ECS, EKS, RDS PostgreSQL, S3, Route53, ALB/NLB, CloudWatch)
Terraform and/or CloudFormation
GitHub Actions, GitLab CI/CD, Jenkins, or AWS CodePipeline
Docker and Kubernetes
Databricks ecosystem, Kafka, pipeline operations
Linux administration and scripting
Monitoring and observability platforms such as CloudWatch, Datadog, Grafana, Prometheus, ELK, or OpenTelemetry
Incident management and operational support
Security, networking, and infrastructure best practices

Preferred Skills

AI/ML platform support
Azure or multi-cloud knowledge
Node.js or Python familiarity
MCP-based services and API ecosystems
FinOps and cloud cost optimization
Wholesale, retail, ecom, supply chain, or B2B platform experience

Required Experience

5+ years in DevOps, Platform Engineering, Cloud Engineering, SRE, or Infrastructure Engineering.
3+ years managing AWS production environments.
Experience supporting enterprise-grade applications and integrations.
Experience implementing Infrastructure as Code and CI/CD at scale.
Experience with production monitoring, observability, and reliability engineering.

Success Measures (First 6 Months)

All delivered solutions use standardized deployment pipelines.
Infrastructure is provisioned through Infrastructure as Code.
Production monitoring and alerting are implemented for all critical services.
Availability, performance, and operational readiness improve across the solution portfolio.
AWS costs are visible and managed proactively.
Disaster recovery and backup procedures are documented and validated.

Ideal Candidate Profile

A hands-on platform engineer who combines AWS administration, DevOps automation, Site Reliability Engineering, observability, security, and cloud operations expertise. The candidate should be comfortable partnering with architects, AI engineers, developers, security teams, and operations teams to ensure solutions can move safely from development into reliable production environments.

adidas offers a robust and progressive range of benefits, including: health and dental benefits, including prescription drug coverage, out of country coverage, short and long-term disability, basic life and AD&D insurance, and an Employee & Family Assistance Program. Employees are able to enroll in adidas’ Retirement Savings Plan with employer match. Qualifying employees are eligible for our education assistance program and fitness reimbursement program.

Employees are eligible to earn an annual bonus based on both company and personal performance. We recognize the commitment of our employees by increasing vacation time with length of service. We also offer Service Awards & Service Time Off during milestone years, paid bereavement leave, and parental leave top-up to eligible employees.

Though our teammates hail from all corners of the world, our working language is EnglishAt adidas we offer a Hybrid work policy which requires attendance in the office Monday through Thursday, with the flexibility to work remotely on Friday each week. For work requiring a high degree of collaboration or an in-person presentation, in-office attendance is required even on Friday. The working location of this position is Woodbridge, ON - CanadaThe anticipated low and high end of the base pay range for this position is $107,000 - $117,000 CAD. Actual salary will be based on various factors, such as a candidate’s experience, qualifications, skills & competencies, and proficiency for the role.

Though our teammates hail from all corners of the world, our working language is English. . adidas is an equal opportunity employer. We encourage applications from all qualified candidates, including those with Disabilities, and will accommodate applicants’ needs, upon request, throughout all stages of the recruitment and selection process. If selected to participate in an interview, accommodations will be made available on request. Please inform the Recruiter of the accommodation(s) that you may require. Information received relating to accommodation will be addressed confidentially.

adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an equal opportunity employer.

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More about this job

Responsibilities

Design, secure, automate, operate, and optimize AWS infrastructure and deployment platforms supporting enterprise applications, AI, automation, and integrations. Establish CI/CD, infrastructure as code, observability, reliability, incident response, security, backup, disaster recovery, and cost-management practices.

Requirements

Requires at least five years of experience in DevOps, platform, cloud, SRE, or infrastructure engineering, including at least three years managing AWS production environments. Candidates should have experience with enterprise applications, infrastructure as code, CI/CD at scale, production monitoring, and reliability engineering.

Skills

AWS
Terraform
AWS CloudFormation
CI/CD
Docker
Kubernetes
Linux Administration
Python
Databricks
Kafka
Monitoring and Observability
Incident Management
Site Reliability Engineering
Infrastructure as Code
Cloud Security
Cloud Cost Optimization

Benefits

Health and Dental Benefits
Prescription Drug Coverage
Out-of-Country Coverage
Short-Term Disability Insurance
Long-Term Disability Insurance
Basic Life and AD&D Insurance
Employee and Family Assistance Program
Retirement Savings Plan with Employer Match
Education Assistance Program
Fitness Reimbursement Program
Annual Performance Bonus
Increasing Vacation Time with Length of Service
Service Awards
Service Time Off
Paid Bereavement Leave
Parental Leave Top-Up

Visa sponsorship

Not detected in the job text

Keywords

AWS
VPC
IAM
EC2
ECS
EKS
RDS PostgreSQL
S3
Route 53
CloudWatch
Terraform
AWS CloudFormation
GitHub Actions
GitLab CI/CD
Jenkins
AWS CodePipeline
AWS CodeBuild
AWS CodeDeploy
Docker
Kubernetes
Databricks
Kafka
Linux
Python
Node.js
Datadog
Grafana
Prometheus
ELK
OpenTelemetry

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