Software Development Engineer

Exclusive opportunity

Onsite

Software Development Engineer

Workday

Software Development Engineer

Skills

PythonMachine LearningAIPrometheusKubernetesWorkdayTerraform

16 hours ago

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Important information

Contract type:

Permanent

Salary:

€72,000 – €108,000 / year

Location:

Ireland

Work mode:

Onsite

Published on:

22 October 2026

What they need

We are an infrastructure engineering team within Workday’s observability organisation. Engineering teams worldwide rely on our platform to monitor and operate their production systems
We own metrics ingestion and alerting infrastructure, from the pipelines that collect and process metrics to the platform services that detect issues and deliver notifications
We build distributed systems at scale across Workday’s global production environments, with a focus on reliability and long-term operability
We build tooling and agent-facing interfaces that help engineers and AI agents understand and operate the platform, and we use them in our own day-to-day work
We work closely with partner teams across engineering and site reliability, with engineers taking end-to-end ownership of the problems they solve
We build and operate observability infrastructure for metrics ingestion and alerting across Workday’s global production environments
You will work on distributed systems at scale, collecting, processing, and acting on operational data, with a focus on reliability, performance, and simplicity
You will also contribute to agentic engineering, building tools and workflows that help engineers and AI agents operate the platform more effectively
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- Strong understanding of distributed systems fundamentals, including concurrency, fault tolerance, high availability, and failure-mode analysis
4+ years of professional software engineering experience with production-grade systems
Demonstrated ability to own problems end-to-end, work closely with SRE and partner engineering teams, and mentor other engineers
Strong proficiency in Go for production services
3+ years designing, building, and operating large-scale distributed systems on public or private clouds
Strong testing discipline across unit, integration, and end-to-end tests for distributed systems
Experience designing and implementing robust, scalable HTTP and gRPC APIs in multi-tenant environments
Experience deploying and operating services on Kubernetes using infrastructure-as-code and platform configuration workflows such as Helm, Jsonnet, Terraform, or GitOps-style deployment pipelines
Experience with Prometheus-style monitoring ecosystems, time-series metrics pipelines, or large-scale observability platforms in production
Interest or experience building MCP servers, agent-facing APIs, or tooling that helps engineers and AI systems operate complex platforms
Experience with Python for tooling, automation, data processing, or ML workloads
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Excellent written communication skills for architecture designs, operational runbooks, and technical documentation

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