About the Role As a Dev

Ops engineer in our team, you will have the opportunity to work on creative 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.

Forecast and plan for the infrastructure needs of a fast-growing SaaS company and find ways to improve efficiency and cost 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 Analyze system performance and capacity and plan for future growth 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: 5+ years Dev

Ops or software development experience 3+ years of experience building, maintaining and scaling database technologies such as Postgresql, MySQL, Redis,



and DynamoDB 2+ years experience orchestrating large scale distributed microservice deployments on Kubernetes and EC2. 2+ years experience building and managing EKS clusters and solid knowledge of the K8s ecosystem. 2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/Open

Search stack for logging and Pager

Duty and alerting.

Other Qualifications: Ability to architect, analyze, and support complex distributed systems Automating deployment, scaling, and management of containerized applications with Docker or Kubernetes Consistent track record of building tooling, automation, and/or services in one or multiple languages (e.g., Go, Python, Bash or Typescript) Experience debugging and optimizing systems and code Familiarity with service mesh concepts and experience implementing one of the service mesh frameworks like Istio or Linkerd with Kubernetes clusters Production experience troubleshooting and autoscaling message queueing clusters in a high availability cluster such as RabbitMQ, SQS or Kafka Security centric in all approaches to design in infra as code as well as Docker build pipelines 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.

Vancouver

Primary CAN Base Pay Range: $112,000 - $168,000 CADAdditional CAN Location(s) Base Pay Range: $112,000 - $168,000 CAD

📌 DevOps Engineer, Evisort AI (Vancouver)
🏢 Workday
📍 Vancouver