DevOps Data Platform Developer

State of Virginia•Blacksburg, VA

35d•$75,000

About The Position

The successful candidate will work as a member of the IT Development Team to deploy and maintain infrastructure and data platforms for use by research projects. They will be expected to apply a cross-functional skillset to design, develop, and manage a variety of systems in production environments. Candidate will use DevOps best practices to ensure that systems can be created and maintained efficiently, continuously improved, and can incorporate changes quickly. Applicant must be able to work independently and as part of a team to engineer on-premise and cloud infrastructure and data platforms built around Kubernetes and its ecosystem of technologies. The successful candidate will be able to engage with developers and researchers at VTTI and external clients to understand requirements and architect and implement solutions. Documenting systems and cross-training colleagues at VTTI to ensure that information is effectively shared will be a requirement. Our team builds and operates large-scale systems that power data-driven transportation research and smart city innovation. As part of this work, we maintain the Smart Cities Data Exchange, a secure, cloud-native platform for sharing transportation and environmental data across jurisdictions. You'll work on DevOps and infrastructure automation supporting Intelligent Transportation Systems (ITS) and Automated Driving System (ADS) research, helping ensure the reliability, scalability, and observability of mission-critical services that enable safer and smarter mobility. Performance at this level requires significant experience in a professional position or equivalent graduate level education. Directions given and received: Independently performs most assignments with instructions on global objectives and general results expected. May supervise/mentor/provide training and coordinate the work of graduate research assistants, technicians, and others who assist in specific assignments.

Requirements

M.S. degree in Computer Science or engineering comparable with exception for a lesser degree with significant related professional experience
Proficient in Kubernetes and related technologies with multiple years of experience
Experience with Kafka and related streaming data technologies
Experience with basic Linux system administration
Experience with authentication and authorization, particularly OAuth2 and OIDC
Experience working with product owners to develop requirements
Familiarity with relational database technologies and SQL
Familiarity with data lake architecture

Nice To Haves

Experience with Apache NiFi
Experience with Apache Trino
Experience with Apache Iceberg
Experience using GitLab and CI/CD pipelines
Experience with end-to-end testing
Experience with Ceph
Experience with Grafana's monitoring stack
Experience with Keycloak
Experience with Infrastructure as Code
Experience with GPU clustering technologies and frameworks
Familiarity with networking in an on-prem environment

Responsibilities

Deploy and maintain infrastructure and data platforms
Design, develop, and manage a variety of systems in production environments
Engineer on-premise and cloud infrastructure and data platforms built around Kubernetes
Engage with developers and researchers to understand requirements and architect and implement solutions
Document systems and cross-train colleagues

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