TS/SCI DevSecOps Engineer for Hybrid Cloud & AI

IBM

Boston (MA)

On-site

USD 98,000 - 147,000

Full time

4 days ago
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Benefits offered by this job

Healthcare benefits
401(k) plan
Paid time off
Training and certifications

Job summary

IBM Consulting seeks a TS/SCI-cleared DevOps Engineer to support senior DoW warfighter intelligence programs. The role involves building mission-critical intelligence workflows, applying graph tech and data visualization to produce decision advantage, and ensuring secure deployments across cloud platforms.

Ideal candidates have 3+ years in platform engineering or DevSecOps, strong Linux scripting, and experience with OpenShift, Kubernetes, Docker, and cloud services.

Qualifications

  • US Citizenship and TS/SCI clearance required or eligible per DISS database.
  • Bachelor’s Degree, ideally STEM.
  • 3+ years in platform engineering, DevOps, DevSecOps, infra automation or environment management.
  • 3+ years using cloud/platform infra tech (OpenShift, Kubernetes, Docker, AWS, Azure).
  • 3+ years with OS and scripting (Linux, RHEL, Ubuntu, Bash, Python, PowerShell).
  • 1+ years supporting secure deployments, CM, monitoring, logging, and triage (Splunk, ELK, Grafana, Prometheus).

Responsibilities

  • Provide senior-level data analysis to improve defense intelligence workflows.
  • Build mission-critical intelligence processes for decision support for senior leaders.
  • Apply graph tech and data visualization to wrangle, clean, analyze, and display data.

Skills

TS/SCI clearance
US citizenship
Cloud platforms
Linux scripting

Education

Bachelor's Degree
Master's Degree

Tools

OpenShift
Kubernetes
Docker
AWS
Azure
Terraform
Ansible
GitLab
Jenkins
Azure DevOps
Splunk
ELK
Grafana
Prometheus

Job description

IBM Consulting seeks a TS/SCI-cleared DevOps Engineer to support senior DoW warfighter intelligence programs. The role involves building mission-critical intelligence workflows, applying graph tech and data visualization to produce decision advantage, and ensuring secure deployments across cloud platforms.

Ideal candidates have 3+ years in platform engineering or DevSecOps, strong Linux scripting, and experience with OpenShift, Kubernetes, Docker, and cloud services.

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