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Added 6 mins ago
WM
Senior Software Engineer
Wellington Management
Toronto, ON
- Full-time
to fostering an open, collaborative, and inclusive culture because we believe multiple perspectives lead to
Added 6 mins ago
UG
Senior Engineering Manager - Stratus Imaging Archive
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- Full-time
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- Full-time
Parsons is looking to hire a full-time dedicated Senior Mechanical Engineer to lead Infrastructure projects engineering work. The Senior Mechanical Engineer is broadly responsible for…
Added 6 mins ago
AC
Senior Manager, AI Solutions
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- Full-time
As Senior Manager, AI Solutions, you will lead a portfolio of AI solutions for one or more business domains, such as the corporate functions (HR, Legal, IT, and Procurement), and a…
Added 6 mins ago
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- $38 to $48 CAD / hour
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Added 6 mins ago
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Director, Sales and Business Development
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Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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Specialist, Environmental Affairs
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coordinates directly or supports other team members’ projects involving asbestos, mould, lead, designated substances, hazardous materials, spills, and other environmental risks
Added 22 mins ago
P
Software Developer
Proven
Mississauga, ON
- Full-time
We are hiring a Software Developer to join that effort, working under our Lead Full-Stack Developer. You will take applications from scope to production: designing data models, building…
Added 22 mins ago
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Junior Software Developer
Proven
Mississauga, ON
- Full-time
Interest in engineering, science, or data-heavy problems.
Added 22 mins ago
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Senior Enterprise Architect
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- Full-time
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Added 22 mins ago
UO
Engineer
University of British Columbia
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Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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Added 36 mins ago
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Added 51 mins ago
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Added 51 mins ago
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Added 51 mins ago
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Added 51 mins ago
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Pixieset

Senior DevOps Engineer

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 31, 2026

Original job description

Opportunity Snapshot

We’re hiring a Senior DevOps Engineer to strengthen the shared platforms, infrastructure, and delivery workflows that our engineering teams rely on.

In this hands-on role, you’ll take technical ownership of improving our GitLab CI/CD pipelines, Kubernetes infrastructure, development environments, and release processes. You’ll focus on making these systems more reliable and efficient, reducing recurring issues, and creating a smoother developer experience across our engineering organization.

You’ll work closely with DevOps engineers and product engineering teams to build shared capabilities that help teams operate more independently and deliver with confidence. You'll also help evolve our environments, automation, and deployment safeguards to support the growing use of AI agents in software development.

If you enjoy solving complex infrastructure challenges, improving developer productivity, and building systems that make engineering teams more effective, we’d love for you to join our team.

Your Impact

Own improvements to shared GitLab CI/CD pipelines and release workflows, making builds, tests, deployments, and recovery more reliable.
Build, maintain, and evolve our Kubernetes infrastructure and shared development and QA environments.
Strengthen observability and operational readiness for shared infrastructure. Participate in incident response, lead triage and coordination when needed, follow through on preventive improvements, and participate in the team's on-call rotation.
Lead significant platform improvements with a high degree of ownership, from understanding the problem and evaluating options through implementation, rollout, adoption, and ongoing operation. Communicate technical tradeoffs, progress, risks, and results.
Investigate recurring pipeline, environment, and deployment problems, and deliver changes that reduce repeated failures and manual support.
Partner with test automation specialists and application teams to strengthen test infrastructure, automated verification, deployment validation, monitoring, and rollback so teams can release more frequently with less manual intervention.
Develop maintainable infrastructure code and automation that help engineering teams provision resources and use shared workflows independently.
Use AI agents in engineering work, verify their outputs, and turn lessons into improvements to shared instructions, tests, and safeguards.
Mentor engineers through pairing and reviews, and create practical documentation that helps others operate, troubleshoot, and extend the systems you build.

Role Requirements

Typically 5+ years of relevant experience in DevOps, platform engineering, SRE, cloud or systems engineering, or software engineering with substantial infrastructure or delivery ownership. The depth and breadth of your experience matter more than years alone.
Experience building, maintaining, and improving CI/CD pipelines and deployment workflows using GitLab CI/CD or comparable tools, including working with developers and test engineers to strengthen automated verification, safe rollout and rollback practices.
Hands-on experience with Docker and Kubernetes, including deploying, maintaining, and troubleshooting containerized workloads and shared environments.
Strong hands-on experience designing and operating AWS infrastructure, including services such as EC2, RDS, S3, CloudFront, and VPC, with sound judgment about reliability, security, and scalability.
Experience configuring and maintaining Linux systems, with a strong understanding of scalable web application architecture, networking, security fundamentals, DNS, and load balancing.
Experience developing and maintaining infrastructure as code using tools such as AWS CDK, CloudFormation, or Terraform.
Proficiency in a programming or scripting language, such as Python or shell, with experience writing, testing, and maintaining automation or developer tooling.
Strong understanding of monitoring, logging, and tracing, with experience using observability tools such as Grafana or CloudWatch to troubleshoot across applications and infrastructure, detect failures, and verify improvements.
Demonstrated ownership of significant technical improvements from problem definition through rollout and ongoing operation, including communicating tradeoffs, supporting adoption, and mentoring others.
Practical experience using AI coding tools or agents, evaluating their outputs, and improving workflows based on results, along with a willingness to experiment, learn, and share effective practices.
AWS certification is a bonus.

What We Offer

Hybrid work environment (2 in-office days per week)
4 weeks of annual vacation & paid time off for office holiday closures
RRSP matching
$2,000 annual health & lifestyle spending account
$1,000 annual education budget
$1,000 annual charitable donation matching
Comprehensive benefits: extended health, critical illness, long-term disability & life insurance
Company-issued MacBook & home office budget
Anniversary rewards & complimentary Pixieset premium account
Team-building activities & company-wide events
A workplace recognized for excellence - proudly certified as a Great Place to Work™, ranked among Canada’s Best Workplaces,™ and named one of Canada’s Top Small & Medium Employers

The typical salary range for this position is CAD $117,800 - $160,650 annually. Salary offered will be based on skills, experience and market data.

Working at Pixieset

Pixieset is the #1 go-to platform for photographers to deliver photos, sell prints, book clients, get paid, and more, all in one place. We help millions of photographers and creatives around the world do more of what they love.

At Pixieset, you’ll find a culture built on collaboration, curiosity, and craftsmanship. We care deeply about clean design, thoughtful code, and meaningful work that creates real impact for our users. We value continuous learning, connection, and the power of technology to simplify complex challenges. Our team is diverse in background and perspective but united by a shared mission: building products that empower creatives to grow with purpose.

Pixieset is growing quickly but thoughtfully, combining the stability to think long-term with the agility to move fast. Whether you’re building new features, improving infrastructure, or shaping the customer experience, your work has both impact and purpose. Every feature we create helps creatives spend less time managing and more time creating.

For more information on Pixieset, please visit our careers page and follow us on Facebook, LinkedIn, X and Instagram!

Internal Title: Senior Engineer, DevOps/Cloud

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More about this job

Responsibilities

Own and improve shared CI/CD pipelines, Kubernetes infrastructure, development and QA environments, release workflows, observability, and deployment safeguards. Lead platform improvements from investigation through rollout and ongoing operation, support incident response, mentor engineers, and improve developer productivity and AI-assisted engineering practices.

Requirements

Typically requires five or more years of relevant DevOps, platform, SRE, cloud, systems, or infrastructure-focused software engineering experience, with hands-on expertise in CI/CD, Docker, Kubernetes, AWS, Linux, infrastructure as code, and automation. Candidates should also have observability and incident-response experience, demonstrate ownership and mentoring skills, and have practical experience using and evaluating AI coding tools or agents.

Skills

GitLab CI/CD
Kubernetes
Docker
AWS
Infrastructure As Code
Terraform
AWS CDK
CloudFormation
Linux
Python
Shell Scripting
Monitoring And Observability
Grafana
CloudWatch
Incident Response
AI Coding Tools

Benefits

Hybrid Work Environment
Four Weeks Of Annual Vacation
Paid Office Holiday Closures
RRSP Matching
Annual Health And Lifestyle Spending Account
Annual Education Budget
Annual Charitable Donation Matching
Extended Health Insurance
Critical Illness Insurance
Long-Term Disability Insurance
Life Insurance
Company-Issued MacBook
Home Office Budget
Anniversary Rewards
Team-Building Activities
Company-Wide Events

Visa sponsorship

Not detected in the job text

Keywords

DevOps
Platform Engineering
Site Reliability Engineering
GitLab CI/CD
Kubernetes
Docker
AWS
EC2
RDS
S3
CloudFront
VPC
Linux
Infrastructure As Code
AWS CDK
CloudFormation
Terraform
Python
Shell Scripting
Grafana
CloudWatch
Monitoring
Logging
Tracing
Incident Response
Release Workflows
Automated Testing
Deployment Validation
Rollback
AI Agents

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