Senior Distributed Systems Engineer: Kafka, Cloud & Federal

Workday; Reston (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

Workday is seeking a distributed systems software engineer to support the Messaging, Streaming and Caching team for US federal contracts. You will design and build core distributed services powering Workday products, with emphasis on reliability, scalability, and security in both private and public clouds.

The role involves working with Kafka, Redis, RabbitMQ and cloud-native stacks, plus on-call duties and compliance with federal security requirements.

Qualifications

• 10+ years in distributed systems.
• Experience with US Federal projects.
• Experience with large-scale SaaS platforms.
• Strong systems and networking in hybrid environments.
• Security/compliance familiarity with DoD or federal standards.

Responsibilities

• Design, build, and enhance distributed services like Kafka, Redis, RabbitMQ.
• Design, develop, build, deploy and maintain core distributed services across Kubernetes, OpenStack, Bare Metal.
• Design and develop core software modules for streaming, messaging and caching.
• Construct observability modules, alerts and automation for Dashboard lifecycle management for the distributed services.
• Build, deploy and operate infrastructure components in production environments.
• Champion resiliency and operational excellence in streaming, messaging and caching.
• Evaluate and implement new open-source and cloud-native tools as needed.
• Participate in the on-call rotation to support the distributed systems platforms.
• Manage and optimize Workday within the U.S. AWS cloud regions and collaborate with Cyber Defense teams.

Skills

Distributed systems

Kafka

Redis

RabbitMQ

Kubernetes

OpenStack

Tools

Chef

Helm

ArgoCD

Job description

Workday is seeking a distributed systems software engineer to support the Messaging, Streaming and Caching team for US federal contracts. You will design and build core distributed services powering Workday products, with emphasis on reliability, scalability, and security in both private and public clouds.

The role involves working with Kafka, Redis, RabbitMQ and cloud-native stacks, plus on-call duties and compliance with federal security requirements.