DevOps Engineer, Evisort AI

Workday; Vancouver; On-site; CAD 110,000 - 150,000; Full time

Job summary

Workday, a Fortune 500 company and AI-powered platform for managing people and money, is seeking a DevOps Engineer to join the Vancouver team. You will design infrastructure for distributed cloud services, automate maintenance, and support engineering environments on AWS and GCP.

You’ll work with Platform Engineering to deploy changes and verify their impact. You will build and manage CI/CD pipelines, optimize performance, and ensure high availability for millions of users.

Qualifications

• 5+ years in DevOps or software development.
• 2+ years with Kubernetes and EC2 orchestration.
• 2+ years building and managing EKS clusters.

Responsibilities

• Design infrastructure for distributed architecture.
• Build and manage CI/CD pipelines and improve reliability.
• Plan infrastructure needs for a fast-growing SaaS company.
• Monitor performance and optimize at infra and app level.
• Collaborate with engineers to meet SLO/SLA requirements.
• Maintain highly available web and backend systems serving millions.
• Collaborate to configure cloud services for new features on AWS.
• Analyze capacity and plan for future growth.
• Security-centric in infra as code approach.
• Expand monitoring and alerting across infra and business ops.
• Develop tooling to improve Developer productivity.

Skills

DevOps experience

Distributed systems

Automation tooling

Tools

Kubernetes

Docker

Prometheus

Grafana

CloudWatch

ELK/OpenSearch

Job description

Your work days are brighter here.

We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.

About the Team

Our mission is to change the way business deals get done. In an industry plagued by inefficient and ineffective contract management systems, we provide a solution that accelerates, scales, and protects the business, enabling contract professionals to become their company's superhero.

We create innovative AI technology that makes contracts searchable and simplifies deal‑making processes to supercharge business while helping to reduce costs and handle risk. We automate manual work, facilitate collaboration, and streamline operations so businesses can make better decisions.

By reimagining legal documents, we take the stress out of contract management, empowering brilliant people to do their best work while fueling exponential growth.

About the Role

As a 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.
• 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 DevOps 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 strong knowledge of the K8s ecosystem.
• 2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty 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 cod