7 cloud operations engineer jobs at 4 companies in Blackstone, VA
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Lead Software Engineer, Back End (Cloud Operations Resilience Engineering)
Plano or McLean or Richmond
$179k-$205k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's degree, 4+ years professional software engineering experience, 1+ year cloud (AWS/Azure/GCP), proficiency with Java/Python/SQL/Node/Go/Scala, containerization (Docker/Kubernetes), distributed data tools experience preferred.
Java, Python, SQL, Node, Go, Scala, Docker, Kubernetes, AWS, Microsoft Azure, Google Cloud, MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL
Lead Software Engineer, Full Stack (Golang, Python, GenAI) (Cloud Operations Resilience Engineering)
McLean or Plano or Richmond
$179k-$225k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's degree, 4+ years software engineering experience, 1+ year cloud experience (AWS/Azure/GCP). Experience with Go/Python, cloud services, containerization, and AI tooling preferred.
KyndrylNYSE: KD: Manages and modernizes mission-critical IT infrastructure systems.
5+ YOE5+ years Azure DevOps experience, production operations support, development methodologies, data center systems/storage/networking/security/applications & databases, Azure systems architecture and hands-on Azure/cloud and data center technologies; strong communication skills.
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.
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.