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Workday · 1 day ago

Analytics Sr Software Engineer

McLean, VA

Full-time

Hybrid

Senior Level

$152K/yr - $227K/yr

5+ years exp

Workday is a Fortune 500 company and a leading AI platform for managing people, money, and agents. They are seeking a key contributor for the Analytics Delivery Engineering team to build a scalable and reliable services framework, focusing on automation, monitoring, and collaboration with various teams.

Artificial Intelligence (AI)Cloud ComputingEnterprise SoftwareHuman ResourcesSaaSSoftware

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Work on projects ranging from building out robust CI/CD to automation for both the Prism engineering team and SRE team

Work on enhancements and improvements for monitoring, alerting, and tracing of not only internal services but most importantly, production services

Collaborate with others on the SRE team to help set technical direction while ensuring requirements are met

Help enhance, build, secure and maintain environments for Prism Analytics in Workday Federal deployments

Interact and be the primary contact with multiple teams both internally in Workday Prism Analytics

Participate in and facilitate production on-call duties and events to ensure reliability of the analytics applications and play a pivotal role in building the foundation that delivers Workday Analytics to GovCloud

Design and implement: Design, develop, and implement solutions for our Kubernetes platform, including infrastructure automation, CI/CD pipelines, and observability tools

Build and maintain: Build and maintain core platform components, ensuring high availability, scalability, and security

Automate and optimize: Automate infrastructure provisioning, configuration management, and application deployments using tools like Terraform and Argo CD

Troubleshooting and support: Provide support and troubleshooting for platform-related issues, working closely with development teams to resolve problems

Security and compliance: Implement and maintain security best practices for the platform, ensuring compliance with industry standards

Documentation and knowledge sharing: Create and maintain comprehensive documentation for platform components and processes. Actively participate in knowledge sharing within the team

Collaboration: Collaborate effectively with other engineers, development teams, and stakeholders across multiple locations and time zones

Stay current: Stay up to date with the latest technologies and trends in the platform engineering space

Qualification

KubernetesInfrastructure automationCI/CD pipelinesAWS cloud servicesProgramming (GoLang/Python)Monitoring toolsSecurity auditingApache SparkDockerProblem-solvingCommunication

Required

5+ years of hands-on experience working with infrastructure, either on-premises or cloud-based, with a deep understanding of systems architecture, networking, and security

Strong understanding of Kubernetes concepts, architecture, and administration

Bachelor's degree in a computer related field or equivalent work experience

Proficiency in infrastructure automation tools like Terraform

Experience with building or maintaining CI/CD pipelines and tools like Argo CD

3+ years experience working with AWS cloud services in a production setting

Proficiency in at least one programming language, preferably GoLang or Python

Strong analytical and problem-solving skills

Excellent communication and collaboration skills