Software Development Engineer - Evisort AI

Workday Workday · Enterprise · Atlanta, GA

This role is for a Software Development Engineer focused on AI infrastructure and DevOps at Workday, supporting their AI platform for contract management. The primary focus is on designing, building, and managing cloud infrastructure, CI/CD pipelines, and automation tools on AWS using technologies like Kubernetes, Terraform, and Ansible to ensure high availability and reliability of AI-related systems. While the company heavily utilizes AI, this specific role is centered on the engineering and operational aspects of supporting those AI systems rather than direct AI model development.

What you'd actually do

  1. Design infrastructure and automated systems to support our distributed architecture
  2. Build and Manage CI/CD pipelines and constantly improve their reliability & speed, and reduce lead time for changes.
  3. Trace performance bottlenecks and identify optimizations and improvements at both the infrastructure and application level
  4. Collaborate with our engineering team to meet high SLO and SLA requirements from customers
  5. Maintain highly available web and backend systems that serve millions of users, and 1000’s of requests per second

Skills

Required

  • DevOps experience
  • orchestrating large scale distributed microservice deployments on Kubernetes and EC2
  • building and managing EKS clusters
  • AWS
  • Docker
  • Kubernetes
  • Terraform
  • Ansible
  • Go
  • Python
  • Bash
  • TypeScript
  • Prometheus
  • Grafana
  • ELK
  • US Citizen

Nice to have

  • service mesh implementation (Istio/Linkerd)
  • GitHub or GitLab
  • scaling data systems (Postgres, Redis, Kafka, RabbitMQ)
  • security-first approach to designing IaC and microservice pipelines
  • master complex network-to-application environments
  • Degree in Computer Science (or a related field) or equivalent practical experience

What the JD emphasized

  • 5+ years DevOps experience
  • 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.