remote devops Jobs – 119 Openings This Week

Lead Security Engineer (Fraud)
US Mobile —Montréal, QC
- $500 a week
- Computer Science
- DevOps
- Engineering
- Flexible schedule
Lead DevSecOps
Workleap —Remote
- $150,000–$180,000 a year
- Remote
- Azure
- Software development
- Python
DevSecOps Lead
Trisotech —Remote
- Remote
- Computer Science
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Site Reliability Engineer
Broadridge —Toronto, ON
- $100,000–$125,000 a year
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- Hybrid work
- Azure
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21h
DevSecOps Lead
Workleap —Remote
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- Scripting
- AI
Senior Security Engineer - Cloud Identity
Marqeta —Toronto, ON
- $136,800–$171,000 a year
- Remote
- Doctoral degree
- DevOps
- Master's degree
Platform Engineer
Capital Markets Gateway —Remote
- Full-time
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- Azure
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- English
- Dental care
- Tuition reimbursement
8d
Spécialiste DevOps
Medfar —Montréal, QC
- Full-time
- Remote
- Bilingual
- Azure
- Computer Science
Quick apply
Site Reliability Engineer
MaintainX —Toronto, ON
- Remote
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Quick apply
Cloud Software Engineer - Observability Platform
Clickhouse —Remote
- On call
- Remote
- Azure
- DevOps
- AWS
- Paid time off
Senior Infrastructure Engineer
Quandri —Remote
- $130,000–$170,000 a year
- Full-time
- Remote
- DevOps
- AWS
- AI
Quick apply
Senior Manager, AWS Cloud Architecture, Global Deloitte Technology
Deloitte —Toronto, ON
- $104,000–$215,000 a year
- Remote
- Azure
- Computer Science
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Senior Infrastructure Engineer
CARET —Toronto, ON
- $163,000–$200,000 a year
- On call
- Remote
- Azure
- DevOps
- Scripting
- Disability insurance
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DevOps Delivery Consultant - Bilingual (FR)
Arctiq —Montréal, QC
- Full-time
- Remote
- Bilingual
- Azure
- DevOps
- Dental care
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Quick apply
IT Business Systems Engineer - Web API/ IT Spécialiste en systèmes d’affaires - API Web
TD Synnex —Mississauga, ON
- $70,000–$90,000 a year
- Overtime
- Computer Science
- DevOps
- Data analysis skills
Senior Systems Engineer
Adlib Software —Oakville, ON
- $100,000–$120,000 a year
- Temporary
- Remote
- Azure
- Customer service
- DevOps
Quick apply
7d
Lead Infrastructure Engineer
Lastwall —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
10d
DevOps Lead, Enterprise Applications Delivery (T & I) (Telework/Hybrid)
CBC/Radio-Canada —Toronto, ON
- Full-time
- Remote
- Bilingual
- Azure
- Computer Science
- Work from home
Operations Engineer
Xsolla —Remote
- $90,000–$115,000 a year
- Weekends as needed
- Remote
- Azure
- DevOps
- English
- Dental care
- Paid time off
Quick apply
AWS Cloud Engineer - Certified
DogPack App —Saint-Laurent, QC
- $72,000–$110,000 a year
- Full-time
- Azure
- DevOps
- AWS
- Dental care
- Work from home
Quick apply
8d

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Lead Security Engineer (Fraud)

US Mobile -
Montréal, QC

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Job details

$500 a week

Qualifications

CI/CD
Kotlin
Go
Computer Science
Software Engineering
PCI
DevOps
Engineering
CISSP
Google Cloud Platform
E-commerce
Java
Microservices
CISM
AWS
Analysis skills
Incident response
Bachelor's
IDS
APIs
ISO 27001
Cybersecurity
Communication skills

Full job description

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity.

At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries.

We're a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000's fastest-growing private companies in America, and we’re looking for someone exceptional to join our team.

As the Lead Security Engineer, you’ll be both a hands-on technical contributor and a security leader. You will write and review code, design secure systems, and work closely with backend and platform engineers to ensure that our infrastructure, applications, and services are resilient against evolving threats.

You’ll lead a small, high-impact team responsible for embedding security into the entire SDLC — from code review and threat modeling to runtime monitoring and incident response. Your mission: make security an integral part of our engineering DNA.

Responsibilities:

Extensive experience detecting and preventing online payment fraud, including fraudulent plan purchases, unauthorized payment method abuse, card-not-present fraud, and chargeback manipulation across high-volume digital transaction flows.
Hands-on expertise building fraud detection systems for e-commerce and subscription billing environments, including rule-based and ML-assisted models that flag suspicious payment behavior, account-funded fraud, and promo/credit abuse in real time.
Deep understanding of identity fraud vectors in digital-first environments, including synthetic identity creation, stolen credential abuse during onboarding, and fraudulent plan upgrades or device financing applications tied to payment exploitation.
Write and review production code in Java, Kotlin, and Go, ensuring security best practices are applied across APIs, backend services, and infrastructure automation — with particular attention to payment processing flows and data integrity.
Perform secure code reviews and guide developers on secure design patterns, embedding fraud-aware coding standards into engineering workflows from the ground up.
Monitor and analyze application and network traffic using tools like Datadog and Cloudflare WAF to identify anomalies, payment abuse patterns, account takeover attempts, and emerging threats across cloud and application environments.
Build and automate security tooling that integrates into CI/CD pipelines for vulnerability scanning, dependency management, and code integrity checks — including controls specific to payment and billing service deployments.
Collaborate with DevOps and backend engineers to design secure architectures, enforce least privilege, and adopt zero-trust principles across subscriber lifecycle flows including onboarding, SIM activation, number porting, and payment processing.
Lead threat modeling, risk assessments, and incident response for fraud and security events — maintaining playbooks, coordinating responses, and translating findings into actionable hardening improvements across Telecom-specific attack surfaces.
Stay current with evolving fraud techniques, exploits, and threat intelligence, proactively applying new research to harden payment systems, detection models, and security tooling against emerging attack vectors.

Required:

Bachelor’s degree in Computer Science, Software Engineering, or a related field.
7+ years of experience in fraud, cybersecurity, application security, or security engineering — ideally in developer-heavy environments.
Strong software engineering background with hands-on experience in Java, Kotlin, or Go (comfortable reading and writing production code).
Deep understanding of secure software development, API security, and microservices architectures.
Experience integrating security into CI/CD pipelines and cloud-native environments (AWS, GCP, or similar).Understanding of compliance frameworks such as PCI-DSS, SOC 2, or ISO 27001 is a strong plus.
Familiarity with observability and monitoring platforms such as Datadog, Cloudflare WAF, or similar tools for traffic analysis and anomaly detection.
Proficiency with security monitoring and automation tools (SIEM, EDR, IDS/IPS, etc.).
Excellent communication skills and the ability to collaborate with both engineers and leadership.
Certifications like CISSP, OSWE, GCSA, or CISM are a plus but not required — demonstrable coding and analytical ability matter most.

Benefits:

Competitive salary - 150k CAD - 220k CAD (based on experience/location)
Flexible working hours
Supplemental health insurance
Professional development stipend
$500 wfh tech set-up reimbursement

$150,000 - $220,000 a year

Think you’d be a great fit? Apply to learn more!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

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