Senior DevOps Engineer: Cloud, Kubernetes & AI

Workday, Inc.

Auckland

Hybrid

NZD 120,000 - 170,000

Full time

2 days ago
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Job summary

Workday, Inc. is seeking a Senior Distributed Systems Engineer (DevOps) in Auckland, NZ, to shape our cloud platform. You will design automated infrastructure for a distributed microservices stack and own CI/CD pipelines, enabling rapid, reliable feature delivery.

You will collaborate with Platform Engineering to deploy changes, secure systems, and optimize performance across AWS/GCP environments, targeting high SLIs while driving developer productivity and automation.

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.

Responsibilities

  • Design infrastructure and automated systems to support our distributed architecture.
  • Build and Manage CI/CD pipelines and improve reliability and speed.
  • Trace performance bottlenecks and optimize at infra and application level.
  • Collaborate with engineering to meet high SLO/SLA requirements.
  • Maintain highly available web and backend systems serving millions of users.
  • Configure cloud services on AWS and GCP for new features.
  • Secure infrastructure at cloud and application layers.
  • Expand monitoring/alerting with Prometheus/Grafana/OpenSearch integrations.
  • Establish infrastructure-as-code coverage across the platform.
  • Develop tools to boost Developer Productivity and automate processes.

Skills

DevOps
Kubernetes
EC2
Terraform
Python
Go
TypeScript
Docker
Monitoring
Security IaC

Education

Bachelor's degree in CS or related

Tools

Kubernetes
Docker
Terraform
Istio/Linkerd
Prometheus
Grafana
OpenSearch
Kafka/RabbitMQ/SQS
PostgreSQL
DynamoDB

Job description

Workday, Inc. is seeking a Senior Distributed Systems Engineer (DevOps) in Auckland, NZ, to shape our cloud platform. You will design automated infrastructure for a distributed microservices stack and own CI/CD pipelines, enabling rapid, reliable feature delivery.

You will collaborate with Platform Engineering to deploy changes, secure systems, and optimize performance across AWS/GCP environments, targeting high SLIs while driving developer productivity and automation.

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