DevOps Data Engineer (DevOps+Data Engineering- More into Data Engineering)

Title: DevOps Data Engineer (DevOps+Data Engineering- More into Data Engineering)
Location: Pittsburgh, PA, Cleveland, OH, or Dallas, TX – (5 days Onsite) - Local to any of these locations
Employment Type: Full Time

Salary: $100K - $130K/Year Plus benefits

Visa Accepted: USC

Position Description:

• We are seeking a DevOps Engineer to design, build, and maintain CI/CD pipelines that enable secure and automated software delivery across enterprise environments. The role involves managing containerized applications, implementing automation and monitoring solutions, and collaborating with cross-functional teams to ensure reliable and compliant production systems.

Duties and Responsibilities:

• Design, build, and maintain CI/CD pipelines to enable automated and reliable software delivery across environments
• Implement and manage containerized workloads using Docker and Kubernetes/OpenShift (OCP)
• Develop automation scripts and tools using Python, Shell, or PowerShell to reduce manual effort and improve efficiency
• Manage environment promotion and release processes across Dev, QA, UAT, and Production
• Implement monitoring, logging, and observability solutions to ensure system health and performance
• Support incident management, troubleshooting, and root cause analysis for production systems
• Ensure security, compliance, and DevSecOps best practices are embedded in CI/CD pipelines
• Collaborate with development, QA, SRE, and security teams to improve delivery and operational stability
• Participate in on-call rotations and support production reliability
• Drive continuous improvement in automation, scalability, and system resilience

Skills:

• Cloud Computing
• Linux
• Python
• Shell Script

Requirements:

• 6 plus years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE)
• Strong experience in designing and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
• Hands-on experience with containerization technologies including Docker and Kubernetes/OpenShift (OCP)
• Strong proficiency in scripting and automation using Python, Shell, or PowerShell
• Experience managing application deployments across Dev, QA, UAT, and Production environments
• Good understanding of Linux systems, networking fundamentals, and system administration
• Experience with monitoring, logging, and observability tools (e.g., ELK, Application Insights, Prometheus, Grafana)
• Knowledge of DevSecOps practices, including vulnerability scanning and security integration in CI/CD pipelines
• Familiarity with ITIL-based change, incident, and release management processes
• Strong troubleshooting, analytical, and problem-solving skills
• Good communication and collaboration skills in cross-functional teams
• Agile/Safe methodologies
• Mindset (Automation; Security; Strong DevOps/SRE principles)