DevSecOps Engineer

Job Role: DevSecOps Engineer
Job Location: Plano TX (Onsite)
Job Duration: Long Term

Note: Need to go Face to Face Interview

Job Description:

Design, build, configure, and maintain on-premises bare-metal infrastructure to support container platforms, CI/CD tooling, databases, and messaging systems.

Operate CI/CD pipelines to automate build, test, security scanning, and deployment workflows.

Build and maintain infrastructure using Infrastructure as Code (IaC) to ensure consistent, repeatable, and secure environments across development, test, and production.

Implement secure deployment patterns for cloud-based, containerized, and hybrid environments, supporting both single-tenant and multi-tenant architectures.

Configure and manage container platforms and orchestration systems (e.g., Red Hat OpenShift, Kubernetes, Docker), with a strong focus on runtime security, image governance, and operational stability on bare-metal on-prem infrastructure.

Design, deploy, and operate DevSecOps tooling and automation that supports PostgreSQL databases, including secure configuration, backup, monitoring, and performance considerations.

Collaborate closely with development, infrastructure, and security teams to improve production readiness.

Support event-driven and asynchronous architectures by integrating and operating messaging and streaming platforms such as Apache Kafka, including secure pipeline integration and operational monitoring.

Collaborate with Application and Operations teams to ensure secure, reliable CI/CD workflows for services that depend on relational databases and messaging systems.

Implement and maintain monitoring, logging, and alerting solutions to support observability, performance tuning, and security detection.

Work directly with application developers to troubleshoot pipeline failures, deployment issues, and environment-related problems.

Apply cloud security best practices, including identity and access management, network segmentation, encryption, and secrets management.

Maintain operational documentation, runbooks, and technical standards related to DevSecOps tooling and processes.

Provide technical guidance and informal mentorship to less experienced engineers through code reviews, pairing, and knowledge sharing.

Continuously identify opportunities to improve automation, reliability, security posture, and developer experience.

Perform job duties in a safe manner and attend work as scheduled on a consistent and regular basis.

Perform other related duties as assigned.

Minimum Qualifications

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.