Senior Distributed Systems Engineer – Observability & AI Tools

Workday; Dublin; Hybrid; EUR 96,000 - 144,000; Full time

Job summary

Workday in Ireland is seeking an experienced software engineer to design and operate observability infrastructure for metrics ingestion and alerting at scale. You will work on distributed systems across cloud-native production environments, focusing on reliability and performance, and contribute to agentic engineering with tooling for AI agents.

You'll collaborate with SRE and partner engineering teams, own problems end-to-end, and help shape platform APIs, workflows, and observable services for

Qualifications

• 6+ years of professional software engineering experience with production-grade systems
• 4+ years designing, building, and operating large-scale distributed systems on public or private clouds
• Strong understanding of distributed systems fundamentals, including concurrency, fault tolerance, high availability, and failure-mode analysis
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Responsibilities

• Design, build, and debug distributed systems across cloud-native production environments
• Develop platform services for metrics ingestion, processing, and alerting at scale
• Shape how AI agents interact with observability infrastructure through tooling, APIs, and operational workflows
• Collaborate across teams to deliver infrastructure that is resilient, observable, and easy to operate

Skills

Agentic Engineering

Metrics & Observability

Go

Python

API & Architecture

Kubernetes

Infrastructure as Code

Quality & Testing

Collaboration & Leadership

Technical Communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

Prometheus

Kubernetes

Terraform

Helm

Jsonnet

GitOps

Job description

Workday in Ireland is seeking an experienced software engineer to design and operate observability infrastructure for metrics ingestion and alerting at scale. You will work on distributed systems across cloud-native production environments, focusing on reliability and performance, and contribute to agentic engineering with tooling for AI agents.

You'll collaborate with SRE and partner engineering teams, own problems end-to-end, and help shape platform APIs, workflows, and observable services for