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Senior Cloud Platform and DevSecOps Engineer - TS/SCI with Polygraph
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GD Information Technology, Inc.

Senior Cloud Platform and DevSecOps Engineer - TS/SCI with Polygraph

United States

The likely salary range for this position is $148,750 - $201,250.

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Job details

Pay: The likely salary range for this position is $148,750 - $201,250.
Experience: 8+ years of cloud, platform, systems, or DevSecOps engineering experience, including 3+ years delivering production platform automation.
Posting language: English
Posted: Nov 6, 2026

Original job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

IT Infrastructure and Operations

Job Qualifications:

Skills:

DevSecOps, Linux, Microsoft Azure, Microsoft Windows, Systems EngineeringCertifications:

NoneExperience:

8 + years of related experienceUS Citizenship Required:

Yes

Job Description:

Key Responsibilities

Implement Azure platform services, landing-zone components, network integration, policy, logging, identity hooks, key/secrets management, and workload hosting patterns under the Principal Cloud Architect's direction.
Develop and maintain version-controlled IaC modules using Terraform, Bicep/ARM, Ansible, or approved equivalents; enforce peer review, testing, and release discipline.
Build and operate internal GitLab/Jenkins or equivalent pipelines, container platforms, registries, package repositories, image repositories, and artifact mirrors for disconnected delivery.
Implement software supply-chain controls including SBOM generation, dependency and image scanning, signing, provenance, allowlists, and promotion gates.
Develop hardened container images, deployment templates, configuration standards, and environment-specific overlays for applications, data services, and AI inference workloads.
Automate platform provisioning, patching, backup, recovery, certificate/secret rotation, compliance checks, and routine operations.
Integrate platform telemetry with Azure Monitor, Sentinel, Dynatrace, ServiceNow, and the enterprise observability architecture.
Partner with Security and RMF staff to implement controls and produce reusable evidence from code, pipeline, scan, and configuration outputs.
Troubleshoot complex platform failures, lead technical recovery when assigned, document root causes, and convert lessons into platform improvements.
Mentor engineers, conduct code/design reviews, and help domain teams adopt approved platform patterns rather than building shadow infrastructure.

Required Qualifications

Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related STEM field, or approved equivalent experience.
Clearance: Active TS/SCI with Polygraph
Location: Onsite
8+ years of cloud, platform, systems, or DevSecOps engineering experience, including 3+ years delivering production platform automation.
Hands-on Azure or Azure Government experience with networking, compute, storage, identity integration, policy, monitoring, and secure configuration.
Strong IaC experience with Terraform, Bicep/ARM, Ansible, or equivalent, including module design, state/change management, testing, and peer-reviewed promotion.
Experience building or operating CI/CD and artifact/container services inside enterprise or disconnected boundaries using GitLab, Jenkins, Nexus/Artifactory, Harbor, Kubernetes/OpenShift, or comparable platforms.
Strong Linux and Windows administration fundamentals plus proficiency in Python, PowerShell, Bash, or another automation language.
Experience with container hardening, image/dependency scanning, SBOMs, secrets management, certificate handling, and rollback/recovery.
Working knowledge of RMF/STIG controls, change management, operational acceptance, logging/audit, and classified data-handling requirements.
Demonstrated ability to lead technical work, review others' code/designs, communicate risk early, and operate calmly during production issues.

Preferred Qualifications:

Azure/IaC lane: Azure Administrator Associate or DevOps Engineer Expert and relevant Terraform certification.
Experience supporting GPU/AI platforms, ML model artifacts, offline Python wheelhouses, or local inference services.
Experience integrating ServiceNow change/CMDB records with pipeline and deployment events.
Experience with policy-as-code, compliance-as-code, infrastructure testing, chaos/resilience testing, or FinOps automation.

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY Explore an enterprise IT career at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward.

#GDITcareers #OpportunityOwned #WeAreGDIT #transitioningmilitary #clearedjobs #veterans #Autobots #IntelligenceEngineered

The likely salary range for this position is $148,750 - $201,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA Chantilly

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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More about this job

Skills

Linux
Microsoft Azure
Microsoft Windows
Infrastructure as code
IBM Terraform
Ansible
GitLab
Jenkins
Supply chain management
Regulatory compliance
Dynatrace
ServiceNow
Troubleshoot
Computer science
Computer technology
Change management
CI/CD
Kubernetes
Red Hat OpenShift
Python
Microsoft PowerShell
Bash
DevOps
ML

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