Azure DevOps Engineer

Nexiva•Dallas, TX
•Remote

About The Position

Remote contract role for an Azure DevOps Engineer and Terraform coach on a Contract Driven Development (CDD) project. The project aims to introduce contract testing for Postman APIs to improve collaboration between API producers and consumers, reduce integration issues, increase reliability, and streamline validation across multiple teams. The role is expected to run from November 1 until mid-January, with a possible extension of several months. The stated duration is 2–4 months. Candidates must be located in the CST or PST time zones. The rate is $55 per hour, all-inclusive; the posting indicates 1099 or C2C only at this time. The engineer will build and optimize Azure data and DevOps pipelines, integrate tools and APIs, support monitoring and security checks, and diagnose deployment issues. The posting requests a DevOps engineer with at least seven years of experience and at least three years of Terraform experience.

Requirements

  • At least 7 years of experience as a DevOps engineer.
  • At least 3 years of experience with Terraform.
  • Must be located in the CST or PST time zones.
  • 1099 or C2C work status only, as stated in the posting.
  • LinkedIn profile must include a professional headshot, match the résumé, and have no banner.
  • Submit a résumé in MS Word format.
  • Provide two professional manager references with contact details, project name, and reporting relationship or description of work together.
  • Provide the requested candidate information, including work status, education and certifications, availability, rate, contact information, and interview availability.

Responsibilities

  • Design, develop, and optimize data pipelines using Azure Data Factory (ADF) to automate complex ETL workflows for enterprise data processing.
  • Integrate third-party tools and extensions into Azure DevOps to enhance pipeline capabilities and increase automation coverage.
  • Design and maintain monitoring solutions using Prometheus and Grafana to support application reliability and system health.
  • Automate deployment and maintenance of Azure Data Factory pipelines using Fabric.
  • Integrate Fabric with Azure CLI and REST APIs to dynamically manage ADF pipelines, datasets, and linked services.
  • Conduct security assessments within Azure DevOps pipelines, incorporating automated compliance checks and code-scanning tools.
  • Use Azure DevOps Artifacts for package management and build-dependency management in complex pipelines.
  • Diagnose and resolve deployment bottlenecks through root-cause analysis and corrective actions.
  • Coach on Terraform as part of the project.
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