TS/SCI DevSecOps Engineer — Secure Cloud & CI/CD

International Business Machines Corporation; Chantilly (VA); On-site; USD 130,000 - 170,000; Full time

Job summary

IBM Consulting seeks a TS/SCI-cleared DevOps Engineer to support senior DoW leaders with data-driven intelligence workflows. You will work on mission-critical platforms using graph technology to analyze and visualize data for decision support, with Reston, VA as a core location.

A Master’s degree is preferred. Candidates should have 3+ years in platform engineering, DevOps/DevSecOps, cloud tech (OpenShift, Kubernetes, Docker, AWS, Azure), and scripting (Linux, Bash, Python, PowerShell).

Qualifications

• Active TS/SCI clearance or immediate eligibility per DISS.
• Bachelor’s Degree in STEM fields.
• 3+ years in platform engineering, DevOps, DevSecOps, automation, or environment management.
• 3+ years with OpenShift, Kubernetes, Docker, AWS or Azure.
• 3+ years with Linux-based systems and scripting (e.g., Bash, Python, PowerShell).
• 1+ years supporting secure deployments, monitoring, logging, and troubleshooting (Splunk, ELK, Grafana, Prometheus).
• Preferred: CI/CD tools, IaC (Terraform, Ansible), and security-conscious deployment practices.
• 1+ year with GraphAware Hume or Neo4j-based workflows; ML/AI/NLP exposure.

Responsibilities

• Provide decision-worthy data and analysis for senior DoW Warfighters.
• Build mission-critical intelligence workflows for decision support.
• Leverage graph tech and visualization to wrangle, analyze, and display data.

Skills

Platform engineering

DevOps

DevSecOps

infrastructure automation

environment management

CI/CD

Security-conscious deployments

Graph databases

Machine Learning / AI basics

Education

Bachelor’s Degree in STEM fields

Master’s Degree

Tools

OpenShift

Kubernetes

Docker

AWS

Azure

Linux

RHEL

Ubuntu

Bash

Python

PowerShell

Splunk

ELK

Grafana

Prometheus

GraphAware Hume

Neo4j

Job description

IBM Consulting seeks a TS/SCI-cleared DevOps Engineer to support senior DoW leaders with data-driven intelligence workflows. You will work on mission-critical platforms using graph technology to analyze and visualize data for decision support, with Reston, VA as a core location.

A Master’s degree is preferred. Candidates should have 3+ years in platform engineering, DevOps/DevSecOps, cloud tech (OpenShift, Kubernetes, Docker, AWS, Azure), and scripting (Linux, Bash, Python, PowerShell).