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# Senior Software Development Engineer - Distributed Systems

- **Company:** Workday, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $96,000.0 - $144,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Software Debugging, Distributed Systems, Fault Tolerance, Python (Programming Language), Operational Data Store, Reliability Engineering, E2e Testing, Prometheus, Software Engineering, Data Processing, System Availability, Delivery Pipeline, Concurrency, Agentic-AI, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Terraform, Virtual Private Clouds, Workday
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9244237/senior-software-development-engineer-distributed-systems

## About the Role

Basic Qualification

 * 6+ years of professional software engineering experience with production-grade systems
 * 5+ 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

Other Qualification

 * Agentic Engineering:Interest or experience building MCP servers, agent-facing APIs, or tooling that helps engineers and AI systems operate complex platforms
 * Metrics & Observability Platforms:Experience with Prometheus-style monitoring ecosystems, time-series metrics pipelines, or large-scale observability platforms in production
 * Go & Python:Strong proficiency in Go for production services; experience with Python for tooling, automation, data processing, or ML workloads
 * API & Architecture:Experience designing and implementing robust, scalable HTTP and gRPC APIs in multi-tenant environments
 * Kubernetes & Infrastructure as Code: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
 * Quality & Testing:Strong testing discipline across unit, integration, and end-to-end tests for distributed systems
 * Collaboration & Leadership:Demonstrated ability to own problems end-to-end, work closely with SRE and partner engineering teams, and mentor other engineers
 * Technical Communication:Excellent written communication skills for architecture designs, operational runbooks, and technical documentation

Workday Pay Transparency Statement (For EU Locations Only)

## Description

We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to
inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.

About the Team

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.

What 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

How we build: Distributed systems at scale across Workday's global production environments, with a focus on reliability and long-term operability
Agentic engineering: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.

How we work: Close collaboration 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.
In this role, you will:

 * 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