Overview
On Site
USD 75,000.00 per year
Full Time
Skills
IaaS
Innovation
Microsoft Exchange
Cloud Computing
DevOps
ADS
Scalability
Management
Mentorship
Training
Computer Science
Kubernetes
Apache Kafka
Streaming
Linux Administration
Authentication
Authorization
OAuth
OIDC
RDBMS
SQL
Data Lake
Apache NiFi
Apache HTTP Server
GitLab
Continuous Integration
Continuous Delivery
Testing
Ceph
Grafana
GPU
Clustering
Computer Networking
Science
Research
Professional Development
Military
SAP BASIS
Law
Job Details
Job Description
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.
Required Qualifications
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
Preferred Qualifications
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
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Starting rate of $75,000; commensurate with experience
Hours per week
40
Review Date
11/26/2025
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges , a school of medicine , a veterinary medicine college, Graduate School , and Honors College .The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes .A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance . These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Natalie Jett at during regular business hours at least 10 business days prior to the event.
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.
Required Qualifications
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
Preferred Qualifications
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
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Starting rate of $75,000; commensurate with experience
Hours per week
40
Review Date
11/26/2025
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges , a school of medicine , a veterinary medicine college, Graduate School , and Honors College .The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes .A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance . These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Natalie Jett at during regular business hours at least 10 business days prior to the event.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.