Mid/Sr Software Development Engineer (US Federal)

Workday•Reston, VA

5d•$123,900 - $222,000•Hybrid

About The Position

The Messaging, Streaming and Caching team is a full-service Distributed Systems Engineering team. We architect and provide async messaging, streaming, and NoSQL platforms and solutions that power the Workday products and SKUs ranging from core HCM, FIN, Integrations, and AI/ML. We develop client libraries and SDK's that make it easy for teams to build Workday products. We develop automation to deploy and run hundreds of clusters, and we also operate and tune our clusters as well. As a team member you will play a key role in improving our services and encouraging their adoption within Workday's infrastructure both in our private cloud and public cloud. As a member of this team, you will design and build new capabilities from inception to deployment to exploit the full power of the core middleware infrastructure and services, and work hand in hand with our application and service teams! This role will support one or more direct or indirect contracts with the U.S. Federal Government which, due to federal government security requirements, mandates that all Workday personnel working on the contracts be United States citizens (naturalized or native). This role may require a security clearance at the TS/SCI w/CI Poly level. Applicants must have the ability to obtain and maintain a U.S. government issued security clearance. An active TS/SCI w/CI Poly is preferred. May be required to be on site at client locations in the DC, MD, and VA (DMV) area.

Requirements

3 or more years of DevOps experience including Infrastructure automation, building CICD pipelines.
Good in System design and writing comprehensive technical design docs
Proficient in Python programming.
Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products.
United States citizens (naturalized or native).
Ability to obtain and maintain a U.S. government issued security clearance.
BS/MS in Computer Science or a related technical field.
Excellent problem-solving skills with a focus on creating and maintaining accurate documentation.

Nice To Haves

Specialty certification (e.g., CompTIA CySA+, GICSP, CASP+)
Machine learning background.
Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices.
Building comprehensive monitoring services.
Prior experience with enterprise SaaS products.
Experience with monitoring tools like Grafana.
Passion for creating and maintaining documentation and fixing run books.
Availability for on-call support on a rotating basis.
Proficiency in infrastructure automation tools like Terraform, implementing CI/CD pipelines using Git and Jenkins, and applying continuous deployment tool such as ArgoCD
Experience in leading or mentoring other team members and proven team collaboration experience, i.e. understanding group dynamics, effective communication strategies, conflict resolution techniques, and the ability to foster a positive and inclusive team.
Preferred DoD 8570/8140 compliant with at least IAT Level II certification, including a current Computing Environment (CE) credential and one approved
An active TS/SCI w/CI Poly is preferred.
May be required to be on site at client locations in the DC, MD, and VA (DMV) area.

Responsibilities

Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning runtime environment.
Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes.
Design and build new capabilities from inception to deployment to exploit the full power of the core middleware infrastructure and services, and work hand in hand with our application and service teams!
Play a key role in improving our services and encouraging their adoption within Workday's infrastructure both in our private cloud and public cloud.
Operate and tune our clusters.
Develop automation to deploy and run hundreds of clusters.
Develop client libraries and SDK's that make it easy for teams to build Workday products.
Architect and provide async messaging, streaming, and NoSQL platforms and solutions that power the Workday products and SKUs ranging from core HCM, FIN, Integrations, and AI/ML.