DevOps Engineer, Workday
Evisort AI
CA$112-168k
More information about location
Enterprise AI platform for managing HR, finance & IT
Be an early applicant
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Be an early applicant
CA$112-168k
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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