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DevSecOps Engineer
Zenotis Technologies INCPlano, TX🇺🇸United StatesPosted 10 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
- At least 21 years of age.
- Authorization to work in the United States.
- Bachelor''s degree in Computer Science, Information Technology, Cybersecurity, or a related field (or equivalent practical experience).
- Ability to obtain and maintain any required certifications or licenses.
- 5+ years of hands-on experience in DevOps, DevSecOps, Site Reliability Engineering, or a related engineering role.
- Strong hands-on experience with CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions).
- Practical experience with Infrastructure as Code tools such as Terraform or CloudFormation.
- Strong hands-on experience with container platforms and orchestration technologies, including Red Hat OpenShift and Kubernetes (and container tooling such as Docker).
- Hands-on knowledge of application and cloud security tools, including SAST, DAST, vulnerability scanners, and SIEM platforms.
- Hands-on experience supporting relational databases, with a strong preference for PostgreSQL, in cloud-native or containerized environments.
- Practical experience working with distributed messaging or streaming platforms such as Apache Kafka, including integration with application pipelines and operational troubleshooting.
- Ability to use AI-assisted engineering tools (e.g., GitHub Copilot, ChatGPT / enterprise AI assistants, or similar) to improve productivity in scripting, infrastructure automation, troubleshooting, and CI/CD pipeline development.
- Ability to responsibly use AI tools while adhering to enterprise security, data protection, and compliance requirements.
- Proficiency in scripting or automation languages such as Python, Bash, or PowerShell.
- Experience with monitoring and logging platforms (e.g., Prometheus, Grafana, ELK stack).
- Strong troubleshooting skills across hardware, OS, container platforms, and application layers in production environments.
- Ability to collaborate effectively in cross-functional Engineering and Operations teams.
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