DevOps Engineer at VTG
Chantilly, VA 20151, USA -
Full Time


Start Date

Immediate

Expiry Date

03 Aug, 25

Salary

0.0

Posted On

03 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Polygraph, Jenkins, Kms, Kubernetes, Slack, Confluence, Agile Methodologies, Java, Computer Science, Ec2, Github, Devops

Industry

Information Technology/IT

Description

Overview:
Position Overview: VTG is seeking a talented and experienced DevOps Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to solve difficult technical problems.

Responsibilities:

  • The Mid to Senior Level DevOps candidate will assist with development and integration efforts with an AI/ML orchestration platform. Strong experience deploying and managing Kubernetes clusters and resources specifically on Amazon’s EKS. Has ability to deploy, configure, and manage Kubernetes clusters as well as knowledge of how to monitor running assets in deployed Kubernetes clusters. Will work across multiple teams to integrate services to increase the client’s ability to triage and discover data.

Qualifications:

  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

-

Required Skills:

  • AWS - Various AWS services: EC2, S3, EKS, ES, KMS, DynamoDB, Route 53, Lambda, Glacier CloudWatch, CloudTrail, etc.
  • Delivery Pipelines: Kafka/SNS/SQS
  • Kubernetes
  • DevOps: GitHub, Jenkins, Confluence, etc.
  • Slack

DESIRED SKILLS:

  • Java
  • Knowledge of agile methodologies/experience delivering on agile teams
Responsibilities
  • The Mid to Senior Level DevOps candidate will assist with development and integration efforts with an AI/ML orchestration platform. Strong experience deploying and managing Kubernetes clusters and resources specifically on Amazon’s EKS. Has ability to deploy, configure, and manage Kubernetes clusters as well as knowledge of how to monitor running assets in deployed Kubernetes clusters. Will work across multiple teams to integrate services to increase the client’s ability to triage and discover data
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