Azure DevOps Engineer
Listed on 2026-06-19
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering, Azure, SRE/Site Reliability
Department
:
Information Technology / Dev Ops / Cloud Engineering
Location
:
McKinney, TX Onsite
Role Type
:
Contract (6 Month Contract to Start, Strong Potential for Extension or Conversion)
tOur client is a growing technology consulting firm that partners with enterprise organizations to modernize their cloud and data platforms. They specialize in delivering scalable solutions across the Microsoft ecosystem, helping businesses transition from traditional systems to cloud-based environments. With a strong focus on innovation, automation, and data-driven decision-making, they support clients across multiple industries by building reliable, secure, and high-performing cloud infrastructures
Job DescriptionWe are seeking an Azure Dev Ops Engineer to support cloud-based data platform initiatives, specifically within Microsoft Fabric environments (data and analytics platfor
In this role, you will be responsible for building, automating, and maintaining deployment pipelines and cloud environments that support modern data platforms. Your work will directly impact the reliability and scalability of analytics, reporting, and data processing systems used by enterprise client
Day-to-day, you will collaborate with data engineers, architects, and project teams to ensure seamless deployments across development, testing, and production environments. This role is critical in enabling repeatable, automated deployment processes while also troubleshooting issues and improving overall platform performance. You will also engage with stakeholders to provide updates and clearly explain technical concepts when neede
Duties and Responsibilities- Design, build, and maintain CI/CD pipelines in Azure Dev
- Ops Support deployments within Microsoft Fabric environments (data pipelines, analytics work spaces, reporting laye
- rs)
Automate infrastructure and environments using Terraform, Bicep, or ARM templa - tes Support environment provisioning across development, test, and production environme
- nts Troubleshoot deployment failures, pipeline issues, and environment inconsistenc
- ies Collaborate with data engineers and architects to ensure platform readin
- ess Implement monitoring, logging, and alerting across cloud environme
- nts Support data modernization efforts (on-prem to Azure / Fa
- ic)
Maintain source control, release management, and deployment standa - rds Communicate deployment updates and technical concepts to internal teams and stakehold
- ills5+ years of experience in Azure Dev Ops, Cloud Engineering, or Dev Ops r
- oles Strong experience with Azure Dev Ops and CI/CD pipel
- ines Experience working with data platforms or analytics environm
- ents Exposure to Microsoft Fabric OR strong experience with Azure data tools (Data Factory, Synapse) in modern data environm
- ents Experience with Infrastructure as Code (Terraform, Bicep,
- ARM)
Scripting experience (Power Shell, Bash, or Pyt - hon)
Understanding of cloud networking, security, and access con - trol Experience with Git and source control best pract
- ices Strong troubleshooting and problem-solving sk
- ills Ability to communicate technical concepts clearly to both technical and non-technical audie
- Haves Direct experience with Microsoft Fabric (Lakehouse, analytics work spaces, pipelines, reporting la
- yers)
Understanding of modern data architecture (ETL/ELT, data lakes, analytics pipel - ines Experience in consulting or client-facing environ
- ments
Familiarity with Azure monitoring tools (Log Analytics, Application Insi - ghts)
Azure certifications (Administrator, Dev Ops Engineer, Data Engineer,
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field pre
ferred(Equivalent hands-on experience will also be consi
dered)
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).