DevSecOps Engineer (Mid-Level)

ALEX – Alternative Experts is seeking a Mid-Level DevSecOps Engineer to support the design, deployment, and security of modern, cloud-based systems in a mission-driven environment. This role supports a distributed data ingestion and analysis platform that processes high volumes of unstructured data into structured, searchable knowledge.

Responsibilities:

• Build, maintain, and enhance CI/CD pipelines using GitLab CI/CD and Jenkins
• Integrate security scanning and vulnerability detection into CI/CD workflows
• Write and maintain Helm charts supporting Kubernetes deployments
• Improve deployment reliability and reduce manual processes, including database migrations and rollbacks
• Ensure consistency across development, staging, and production environments
• Support secrets management and secure configuration practices
• Develop dashboards and monitoring solutions providing at-a-glance system health
• Implement and improve end-to-end testing within CI/CD pipelines
• Troubleshoot issues across application, infrastructure, and pipeline layers
• Collaborate with engineering and security teams to meet compliance and mission requirements
• Support system evolution toward event-driven architectures where appropriate

Requirements:

• 3–6 years of experience in DevOps, DevSecOps, platform, or backend engineering
• Experience with CI/CD tools such as GitLab CI/CD, Jenkins, or similar
• Hands-on experience with Docker, Kubernetes, and Helm
• Experience supporting distributed systems or data pipelines
• Ability to troubleshoot across application, queue, and infrastructure layers
• Proficiency in Python and Bash scripting
• Understanding of system reliability, scaling, and failure modes
• Bachelor's degree in Computer Science, Engineering, Information Security, or a related field (or equivalent professional experience)
• Experience with Celery or other distributed task queues
• Familiarity with PostgreSQL performance and scaling considerations
• Experience with Infrastructure as Code tools (Terraform, Ansible)
• Exposure to vector databases or semantic search technologies
• Experience with ML/NLP pipelines or RAG architectures
• Experience implementing observability solutions (metrics, logging, tracing)
• Familiarity with security tooling (SAST, DAST, container scanning)
• Experience working in regulated environments (DoD, FedRAMP)
• Familiarity with artifact repositories such as Nexus or Artifactory