8 cloud operations manager jobs at 8 companies in Wakefield, VA
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Enterprise Operations Manager
Hampton or Beale AFB
$146k-$234k/yrOnsiteFull Time
Peraton: National security and mission-critical government technology services provider.
12+ YOE5+ MgmtOversee enterprise IT operations, coordinate nine contractor areas, ensure 24/7 ISR mission support, and manage service delivery between contractor staff and government leadership.
Lynchburg or Roanoke or Richmond or Danville or Stanton
$60k-$70k/yrFieldFull Time
PepperPointe Partnerships: Provides administrative and operational support to dental practices.
3+ YOEBachelor's or equivalent dental operations experience (minimum 3 years), DSO/dental background, leadership and financial management skills, strong communication and organizational abilities, ability to travel within Virginia.
Team Lead, Identity and Access Management — Okta Operations & Engineering
Richmond, Virginia, United States
OnsiteFull Time
UnisysNYSE: UIS: Provides enterprise-scale IT services and digital transformation solutions.
Hands-on Okta operations and engineering experience, knowledge of SCIM, SAML, OIDC/OAuth, Active Directory/LDAP, APIs, IAM architecture, team leadership, customer-facing service delivery; public sector/compliance experience preferred.
ABBSIX Swiss Exchange: ABBN: Provides electrification and automation technologies for global industries.
5+ YOEMaster degree in technical field, 5+ years in service operations/process management, hands-on with Salesforce Service Cloud, ServIS, SAP and Power BI; strong process governance, KPI design, and stakeholder leadership.
Old Dominion University: Public research university offering undergraduate and graduate degree programs.
PhD in a relevant field, extensive research and research-computing leadership, experience with cloud platforms (GCP,AWS) and AI/ML, ability to collaborate across academic and operational domains.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's degree, 6+ years building data-intensive distributed systems, 4+ years programming in Python/Scala/Java, 2+ years building and scaling ML systems; experience with ML frameworks, data pipelines, and production ML operations.