Sr. Pipeline Engineer

Carrollton, TX, US • Posted 8 hours ago • Updated 8 hours ago
Contract W2
On-site
$72+
Fitment

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Job Details

Skills

  • Amazon Web Services
  • DevSecOps
  • DevOps

Summary

Senior Pipeline Engineer Location: Carrollton TX Duration: 5 months contract (potential to go PERM with client eventually) 100% Onsite work
Responsibilities:
We're looking for an experienced, forward-thinking engineer to strengthen our pipeline delivery capabilities by architecting robust CI/CD workflows within our Platform Engineering team. In this role, you will drive the design and evolution of scalable, secure, and automated pipelines, primarily utilizing GitLab CI/CD and Python. You'll work closely with diverse technology teams to standardize deployment patterns, embed security scanning, and champion pipeline-as-code methodologies. If you're passionate about platform efficiency, advanced automation, and accelerating the software development lifecycle, we want to hear from you.
Key Responsibilities:

  • Design, implement, and manage scalable and resilient CI/CD pipelines using GitLab CI/CD to support microservices and monolithic applications.
  • Develop and maintain advanced automation scripts and tooling using Python to streamline build, test, and release processes.
  • Architect and maintain reusable pipeline templates and libraries to ensure standardization and ease of adoption across development teams.
  • Integrate Infrastructure-as-Code (IaC) workflows (Terraform/OpenTofu) into application pipelines for automated environment provisioning.
  • Implement and enforce security best practices within the CI/CD lifecycle, including SAST/DAST scanning, dependency checking, and secret management.
  • Collaborate closely with diverse teams to optimize build times, manage artifact lifecycles, and provide Pipeline Engineering expertise.
  • Troubleshoot and resolve complex pipeline failures, build errors, and deployment issues across Windows and Linux environments.
  • Implement and manage pipeline observability and metrics to ensure deployment visibility and proactive issue detection.
  • Clearly and concisely contribute to the development and documentation of Pipeline Engineering standards and GitOps best practices.
  • Stay up-to-date with the latest industry trends and technologies in CI/CD, DevSecOps, and build automation.
  • Provide mentorship and guidance to junior team members on pipeline architecture and Python automation.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 5+ years of experience in a Platform, DevOps, Release, or Pipeline Engineer role.
  • Extensive hands-on experience designing and implementing complex CI/CD pipelines using GitLab CI/CD.
  • Strong scripting and software development skills, specifically with Python, for automation and API integration.
  • Solid understanding of Windows/Linux Server administration as it relates to build agents and deployment targets.
  • Proven experience integrating infrastructure-as-code (IaC) tools, specifically Terraform (OpenTofu) and AWS CDK, into automated pipelines.
  • Experience deploying and managing applications in cloud environments, particularly Amazon Web Services (AWS).
  • Deep understanding of security best practices (DevSecOps) and their implementation in CI/CD pipelines (e.g., SonarQube).
  • Solid understanding of version control strategies (Git branching models) and artifact management (e.g., Artifactory).
  • Excellent problem-solving and troubleshooting skills related to build and deployment failures.
  • Strong communication and collaboration skills.

Preferred Qualifications:

  • Experience with containerization & orchestration technologies (e.g., Docker, Kubernetes/EKS)
  • Relevant AWS or Platform/DevOps certifications.
  • Strong background with .NET/Core build processes and deployment patterns.
  • Experience migrating legacy pipelines (e.g., Jenkins) to GitLab CI/CD.
  • Understanding of Windows server build processes using tools like Packer and Chocolatey.
  • Experience with monitoring tools integrated into deployment workflows (e.g., New Relic, CloudWatch).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10106153
  • Position Id: 8910611
  • Posted 8 hours ago
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