DevOps Engineer - TS/SCI - sunayu

OpenTalent; Bethesda (MD); On-site; USD 140,000 - 180,000; Full time

Job summary

OpenTalent in Bethesda, MD is seeking a DevOps Engineer to contribute to the design, deployment, and maintenance of a full stack containerized microservices architecture, and to collaborate across systems engineering, development, security, and operations teams.

The role focuses on deploying and maintaining production pipelines on Kubernetes with Elasticsearch and Kafka, advancing CI/CD processes with ArgoCD, Helm, and YAML, and supporting scalable infrastructure; a Top Secret/SI clearance is

Qualifications

• 8+ years in software development or systems engineering.
• Active TS/SCI security clearance with ability to obtain TS/SCI with Polygraph.
• DoD 8570.01-M IAT Level II or higher certification (e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP).

Responsibilities

• Design, deploy, and maintain a full stack containerized microservices architecture.
• Deploy, triage, and maintain a production data pipeline on Kubernetes with Elasticsearch and Kafka.
• Enhance CI/CD and DevOps scripts, including AI-assisted failure analysis and security.
• Configure Kubernetes deployments using ArgoCD, Helm, and YAML.
• Collaborate with systems engineers, architecture, security, and operations teams.

Skills

Kubernetes

CI/CD

DevOps

Elasticsearch

Kafka

ArgoCD

Helm

YAML

Education

BS in Engineering

MS in related field

Tools

ArgoCD

Helm

Kubernetes

Job description

Location: Bethesda, MD

Category: DevOps Travel Required: No Remote Type: No Clearance: TS/SCI

As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack containerized micro services architecture as well as technical systems administration, installation, and configuration. You will participate in fostering a DevOps culture, building strong cross functional collaboration with systems engineering, architecture, development, security, operations, and integration teams, in a dynamic and fast paced environment.

You will work closely with a multi-disciplinary team of developers, other software integrator and system administrators on the following key tasks:

• To deploy, triage and maintain a production big data pipeline using a micro service architecture running on Kubernetes, Elasticsearch back-end, and Kafka messaging
• Enhance and maintain CI/CD and DevOps scripts and processes including AI-integrated solutions for failure analysis, security and compliance to facilitate faster development, quicker error detection and resilient deployments
• Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments
• Configure Kubernetes (Helm, YAML, etc.) continuous deployments using ArgoCD.
• Collaborate with System Engineers to design solutions for new features and requirements
• Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team
• Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings
• Develop PaaS solutions for hybrid deployments and secure multi-tenant GPU sharing solutions in a the Kubernetes environments.

You bring enthusiasm, the ability to work well with people from different disciplines with varying degrees of technical experience, and meet the following qualifications:

• BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering or related field. 6+ years of experience with Master’s degree.
• Must have an active Top Secret/SCI security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance
• Possess at least one DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate)
• Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy
• Experienced with container/container orchestration, specifically Kubernetes and troubleshooting experience with:
• Ingress/Gateway API
• Multi-tenant GPU sharing
• Helm chart design/build
• Pod disruption budgets
• Affinity/anti-affinity rules