Sr Distributed Systems Engineer (DevOps)

About the Role

As a Senior Distributed Systems (DevOps) engineer in our team, you will have the opportunity to work on innovative cloud platform technologies (AWS, GCP) and implement tools to automate maintenance and support our engineering environments. You will also work closely with our Platform Engineering team to deploy changes to our engineering environments with a view to enabling verification of these changes.

What will you be doing?

Design infrastructure and automated systems to support our distributed architecture

Build and Manage CI / CD pipelines and constantly improve their reliability & speed, and reduce lead time for changes.

Trace performance bottlenecks and identify optimizations and improvements at both the infrastructure and application level

Collaborate with our engineering team to meet high SLO and SLA requirements from customers

Maintain highly available web and backend systems that serve millions of users, and 1000’s of requests per second

Closely collaborating with Developers to setup, configure and plan the necessary cloud services in support of new feature development on AWS

Securing our infrastructure at both the cloud layer (IAM) and application layer (PKI)

Building and expanding monitoring and alerting systems for both infrastructure and business operations, using internal tools & integrating into established 3rd party SaaS ones.

Establishing comprehensive infrastructure-as-code coverage to support our entire platform

Develop tools to enhance and support Developer Productivity

Champion automation of manual processes and reducing operational overhead

About You

Basic Qualifications

7+ years DevOps experience

5+ years database administration experience (Postgres, MariaDB, MSSQL)

4+ years experience orchestrating large scale distributed microservice deployments on Kubernetes and EC2.

4+ years experience building and managing EKS clusters and strong knowledge of the K8s ecosystem.

Other Qualifications

Educational Background : BS in Computer Science (or a related field) or equivalent practical experience in large-scale systems.

Cloud & Infrastructure : Deep expertise in the AWS ecosystem , including building and maintaining multi-region environments using Terraform .

Automation & Development : Proven ability to build tooling and services in Python, TypeScript, Go, or Bash , with a focus on "automation-first" solutions for infrastructure scaling and self-healing.

Containerization & Orchestration : Advanced experience managing Kubernetes and Docker , including implementing Service Mesh (Istio / Linkerd) for advanced traffic management, canary deployments, and system resilience.

Data & Messaging Systems : Experience scaling and troubleshooting high-availability databases ( PostgreSQL, DynamoDB, Redis ) and message queuing clusters ( Kafka, RabbitMQ, or SQS ).

Observability & CI / CD : Proficiency in building robust monitoring and logging stacks ( Prometheus, Grafana, ELK / OpenSearch ) and integrating security-centric pipelines into GitHub / GitLab CI .

Systems Expert : Skilled at debugging, optimizing, and learning complex systems—from low-level networking to application-layer logic.

Security-First Approach : A proactive focus on security within Infrastructure as Code (IaC), container builds, and microservice deployments.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission / bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please .

Primary Location : CAN.BC.VancouverPrimary CAN Base Pay Range : $151,200 - $226,800 CADAdditional CAN Location(s) Base Pay Range : $151,200 - $226,800 CAD