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Closed listing

GD Information Technology, Inc.

DevSecOps Engineer for Artificial Intelligence and Machine Learning (AI/ML)

United States

The likely salary range for this position is $161,500 - $218,500.

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: The likely salary range for this position is $161,500 - $218,500.
Posting language: English
Posted: Oct 30, 2026

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Original job description

Archived listing. The details below describe a past opening.

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Cyber and IT Risk Management

Job Qualifications:

Skills:

DevOps, Monitoring Tools, Security ProtocolsCertifications:

NoneExperience:

8 + years of related experienceUS Citizenship Required:

Yes

Job Description:

DEVSECOPS ENGINEER

The Engineer is an active participant in SAFe and Scrum development teams and meetings.

MEANINGFUL WORK AND PERSONAL IMPACT

Automate and optimize service deployments
Integrate with enterprise authentication services
Establish and Improve system monitoring while maintaining established security protocols within development, test, and production systems.
Architect, build and maintain on premise and/or cloud infrastructure to support team and customer initiatives
Maintain and improve existing infrastructure (build out autoscaling, support new services, optimize for cost efficiencies/authentication/search, etc)
Administer production, staging and development environments
Manage and aggregate server logs and monitor for security and system related incidents
Monitor and analyze system performance, such as server load and resource usage
Maintain and improve existing build and deployment processes using CI/CD tools
Apply configuration management disciplines to maintain software revisions, security patches, hardening, and documentation
Enforce best practices for security and reliability, and drive security initiatives, like access control and vulnerability testing
Work with A&A Teams to maintain security requirements for operation of systems
Maintain up to date documentation of designs/configurations, ensuring team members have continuity of recurring tasks
Maintain status of operations at all times: perform after actions reporting on all outages and work with engineering teams to determine solution and root cause analysis. Present findings to management for prioritization and tasking
Create and determine required metrics for dashboards and service health
Follow up on engineering tasks for operational solutions, and validate completion
Manage operational readiness board – present at weekly meetings and determine if development services are ready for automation based on best practices and maintainability
Track and ensure routine operations maintenance tasks are completed in a timely manner
Aligns to the customer's strategies
Utilizes the customer's enterprise DevSecOps pipeline
Work with other service providers to support areas of common interest

WHAT YOU’LL NEED TO SUCCEED

Bring your cyber expertise and drive for innovation to GDIT. The DevSecOps Engineer Principal must have:

Education: Bachelor of Arts/Bachelor of Science
Experience: 8+ years of related experience
3+ years of related systems programming experience
Technical skills:
Understanding of GitLab, Jenkins, ArgoCD, and other DevOps/Continuous Integration tools for Kubernetes
Understanding of microservice design and architectural pattern best practices
Understanding of Python, Bash, and Shell scripting
Experience maintaining an operational environment and use of monitoring tools and dashboard interfaces (ie. Kibana, Grafana, Nagios)
Experience working with container images and platforms (Kubernetes/Docker/OpenShift)
Experience in building processes for deploying to a Kubernetes based environment using Gitlab and Helm
Experience using Jira and Confluence on a daily basis
Experience with deploying to on prem/data center infrastructure
Security clearance level: Must be able to obtain TS/SCI w/Poly
US citizenship required
On-call support may be required
Role requirements:
Strong problem solving and troubleshooting skills
Strong communication and interpersonal skills
Strong understanding of DevOps and software/application development processes
Knowledge of network technologies, common infrastructure components, load balancers, firewalls, virtual and physical infrastructure design
Must possess excellent time management skills and the drive to work unsupervised
Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.)
Ability to write and use unit and functional testing

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 a career in cyber at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your focus on defending and protecting what matters.

#Globalservices

The likely salary range for this position is $161,500 - $218,500. 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:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA MD Annapolis Junction

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

About employer

More about this job

Skills

Artificial intelligence
Machine learning
ML
Risk management
IMPACT
CI/CD
Documentation
Security regulations
Reporting
Root cause analysis
Prioritization
GitLab
Jenkins
DevOps
Kubernetes
Python
Bash
Grafana
Nagios
Docker
Red Hat OpenShift
Jira
Atlassian Confluence
Problem solving
Troubleshooting
Communication skills
Interpersonal skills
Time management
Identity and access management
VPN

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