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Benchmark Recruitment

DevOps Engineer

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

$113,900 to $147,400 CAD / year · Full-time

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Job details

Pay: $113,900 to $147,400 CAD / year
Job type: Full-time
Apply by: Nov 26, 2026
Experience: 5+ years of relevant experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or a closely related discipline
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Title: Senior DevOps Engineer – Site Reliability Engineering (SRE)

Full-time Opportunity | Onsite in the Greater Vancouver Metropolitan Area | Salary: $113,900–$147,400/annum (depending on experience & qualifications) | Must hold a valid Canadian Work Visa

Our client, a global technology organization, is seeking an experienced Senior DevOps Engineer for a permanent, full-time opportunity based onsite in Vancouver.

This is a highly technical, hands-on position with a strong emphasis on Site Reliability Engineering (SRE), Kubernetes, CI/CD, and observability. The successful candidate will play a critical role in ensuring the reliability, scalability, and performance of large-scale production systems that process terabytes of data daily and support hundreds of microservices.

Working within a collaborative engineering environment, the Senior DevOps Engineer will focus on improving system availability, strengthening infrastructure resilience, automating operational processes, and enhancing monitoring and observability capabilities. The role involves managing complex containerized environments, optimizing deployment pipelines, troubleshooting production issues, and implementing modern SRE and DevOps practices.

The successful candidate will collaborate closely with software development, security, and infrastructure teams to improve platform stability and accelerate software delivery. As a senior member of the team, they will also provide technical guidance and mentorship to junior engineers, new graduates, and offshore team members.

The ideal candidate brings deep, hands-on Kubernetes expertise, strong experience with CI/CD pipelines, advanced observability capabilities, and proficiency in scripting and infrastructure automation. While experience across cloud platforms and modern DevOps technologies is valuable, the organization is open to candidates with different technical backgrounds who demonstrate strong foundational engineering skills and the ability to solve complex infrastructure challenges.

Responsibilities:

Design, implement, and maintain highly available, scalable, resilient, and cost-efficient production infrastructure supporting large-scale distributed applications
Apply Site Reliability Engineering (SRE) principles and best practices to improve system reliability, availability, performance, and operational efficiency
Manage, optimize, and troubleshoot Kubernetes environments, including cluster configuration, workload scheduling, resource allocation, scaling, and performance optimization
Support complex containerized environments running hundreds of microservices, ensuring reliable application performance and service availability
Develop, maintain, and optimize CI/CD pipelines to streamline software delivery, improve deployment reliability, and reduce manual intervention
Implement and enhance monitoring, logging, tracing, and observability solutions to improve system visibility and accelerate issue identification and resolution
Build and maintain observability capabilities using tools such as Prometheus, Grafana, OpenTelemetry, and the ELK Stack
Investigate and resolve complex production issues involving infrastructure, Kubernetes clusters, networking, application performance, and distributed systems
Develop and implement automation scripts and operational tooling to improve infrastructure management, deployment processes, and incident response
Manage cloud infrastructure, application deployments, and production release operations across complex environments
Implement and maintain Infrastructure as Code (IaC) solutions using technologies such as Terraform, Ansible, and Helm
Collaborate with software engineering teams to incorporate reliability, performance, security, and operational best practices throughout the Software Development Lifecycle (SDLC)
Drive continuous improvements in system resilience, fault tolerance, capacity management, and operational readiness
Participate in system architecture reviews, technical design discussions, platform management, and capacity planning
Identify and address infrastructure bottlenecks, performance limitations, and opportunities for resource optimization
Evaluate and introduce new tools, technologies, and engineering practices to improve platform reliability and developer productivity
Support the implementation and ongoing improvement of automated deployment, configuration management, and infrastructure provisioning processes
Develop and maintain technical documentation covering system architecture, operational procedures, troubleshooting guides, and infrastructure configurations
Provide technical mentorship, coaching, and guidance to junior engineers, new graduates, and offshore team members
Collaborate with cross-functional engineering teams to establish consistent technical standards and operational practices
Participate in a scheduled on-call rotation, approximately once per month, supporting production systems within a globally distributed support model
Contribute to incident investigation, troubleshooting, and continuous improvement initiatives to minimize downtime and prevent recurring issues

Qualifications:

5+ years of relevant experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or a closely related discipline
Advanced hands-on Kubernetes expertise is essential, including cluster administration, troubleshooting, configuration, scaling, and production workload management
Demonstrated experience resolving complex Kubernetes issues in large-scale production environments
Strong practical experience designing, implementing, maintaining, and troubleshooting CI/CD pipelines
Extensive experience with monitoring, logging, tracing, and observability practices in distributed production environments
Hands-on experience with observability technologies such as Prometheus, Grafana, OpenTelemetry, ELK Stack, or comparable tools
Strong scripting and automation capabilities using Python, Bash, PowerShell, JavaScript, or similar languages
Solid understanding of Site Reliability Engineering principles, including system availability, resilience, performance optimization, incident response, and operational automation
Strong experience with Linux system administration, including networking, security, system performance, and troubleshooting
Experience managing and supporting containerized applications and microservices architectures in production
Proficiency with Infrastructure as Code (IaC) and configuration management tools such as Terraform, Ansible, Helm, or equivalent technologies
Experience with modern CI/CD and deployment technologies such as ArgoCD, GitHub Actions, or comparable platforms
Familiarity with Kubernetes autoscaling technologies, including Karpenter, cluster autoscaling, or similar solutions, is considered an asset
Experience working with cloud infrastructure and multi-cloud environments is valuable
Knowledge of Amazon Web Services (AWS) is considered an asset but is not mandatory
Strong understanding of distributed systems, infrastructure architecture, networking, and cloud-native engineering practices
Experience troubleshooting complex production issues involving microservices, Kubernetes, infrastructure, and application performance
Demonstrated ability to identify reliability risks, investigate root causes, and implement sustainable technical solutions
Strong experience improving deployment automation, infrastructure efficiency, operational processes, and developer workflows
Ability to provide technical leadership and mentorship to engineers with varying levels of experience
Strong analytical and problem-solving skills, with a practical, hands-on approach to complex technical challenges
Excellent written and verbal communication skills, with the ability to explain technical concepts, architectural decisions, and infrastructure requirements to diverse audiences
Demonstrated ability to collaborate effectively with software developers, security specialists, infrastructure engineers, and senior technical stakeholders
Strong organizational skills and the ability to prioritize competing technical and operational demands in a fast-paced environment
Willingness and ability to participate in a scheduled on-call rotation supporting production systems

Compensation & Benefits:

Base Salary: $113,900–$147,400 annually, depending on qualifications, experience, and technical assessment
Paid Time Off: 21 days of vacation plus 5 additional wellbeing days annually
Retirement Savings: Employer matching programs, including RRSP and other eligible savings plans
Health & Dental Benefits: Employer-paid flexible health coverage beginning on the first day of employment, with extended health and dental benefits and spending accounts
Employee Discounts: Access to an employee purchase program
Professional Development: Opportunities for continued learning, technical development, and career growth
Wellness & Engagement: Employee wellness initiatives, social events, and team activities
Employee Referral Program: Incentives for successful employee referrals

NOTE: Interested candidates who meet the above qualifications are encouraged to apply directly. Due to the volume of applications, only those shortlisted will be contacted.

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More about this job

Responsibilities

Design, operate, and improve resilient, scalable production infrastructure and Kubernetes environments supporting large-scale distributed applications, while optimizing CI/CD pipelines, automation, and observability. Troubleshoot production incidents, strengthen reliability and operational practices, collaborate across engineering teams, and mentor junior and offshore engineers.

Requirements

Requires at least five years of relevant DevOps, SRE, or platform engineering experience, advanced hands-on Kubernetes expertise, and strong experience with CI/CD, observability, scripting, Linux, and infrastructure as code. Candidates should understand SRE and distributed systems, be able to resolve complex production issues, communicate and collaborate effectively, provide technical mentorship, and participate in an on-call rotation.

Skills

Kubernetes
Site Reliability Engineering
CI/CD Pipelines
Observability
Prometheus
Grafana
OpenTelemetry
ELK Stack
Python
Bash
Linux System Administration
Terraform
Ansible
Helm
ArgoCD
Distributed Systems

Benefits

Paid Time Off
Retirement Savings Plan With Employer Matching
Health And Dental Benefits
Employee Discounts
Professional Development
Wellness Initiatives And Social Events
Employee Referral Program

Visa sponsorship

Not detected in the job text

Keywords

DevOps
Site Reliability Engineering
Kubernetes
CI/CD
Prometheus
Grafana
OpenTelemetry
ELK Stack
Python
Bash
PowerShell
JavaScript
Linux
Terraform
Ansible
Helm
ArgoCD
GitHub Actions
Karpenter
Cluster Autoscaling
AWS
Infrastructure As Code
Microservices
Distributed Systems
Cloud Infrastructure
Monitoring
Logging
Tracing
Incident Response
On-Call Rotation

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