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

Job Description DEVSECOPS ENGINEER. The Engineer is an active participant in SAFe and Scrum development teams and meetings. Key Responsibilities Automate and optimize service deployments. Integrate with enterprise authentication services. Establish and improve system monitoring while maintaining security protocols across 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, including autoscaling, new services, and cost efficiencies. Administer production, staging, and development environments. Manage and aggregate server logs; monitor for security and system‑related incidents. Monitor and analyze system performance such as server load and resource usage. Maintain and improve CI/CD build and deployment processes. Apply configuration management disciplines to maintain software revisions, security patches, hardening, and documentation. Enforce best practices for security and reliability; drive security initiatives such as access control and vulnerability testing. Work with A&A teams to maintain security requirements for system operation. Maintain up‑to‑date documentation of designs/configurations for continuity of recurring tasks. Maintain operational status at all times: perform after‑action reporting on outages; work with engineering teams to determine solutions and root cause analysis; present findings to management. Create and determine required metrics for dashboards and service health. Follow up on engineering tasks for operational solutions and validate completion. Manage the 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. Align with the customer's strategies; utilize the customer's enterprise DevSecOps pipeline; work with other service providers to support areas of common interest. Required Skills and Experience Education: Bachelor of Arts or 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/CI tools; microservice design and architectural pattern best practices; Python, Bash, and Shell scripting. Experience maintaining an operational environment and using monitoring tools and dashboard interfaces (Kibana, Grafana, Nagios). Experience with container images and platforms (Kubernetes/Docker/OpenShift). Experience building processes for deploying to a Kubernetes‑based environment using GitLab and Helm. Experience using Jira and Confluence daily. Experience deploying to on‑prem/data‑center infrastructure (VPN, etc.). Security clearance level: Must be able to obtain TS/SCI with Polygraph. US citizenship required. On‑call support may be required. Strong problem‑solving and troubleshooting skills. Strong communication and interpersonal skills. Strong understanding of DevOps and software/application development processes. Knowledge of network technologies, infrastructure components, load balancers, firewalls, virtual and physical infrastructure design. Excellent time‑management skills and ability to work unsupervised. Understanding of access management and security groups (IAM, S3 bucket, SSH). Ability to write and use unit and functional testing. Travel required: less than 10%. Telecommuting options: onsite. Work location: USA, MD Annapolis Junction. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans. #J-18808-Ljbffr General Dynamics Information Technology