{"schemaVersion":"jobsearcher.job.v1","id":"bcac1a02b5befa72a4303644","url":"https://jobsearcher.com/jobs/bcac1a02b5befa72a4303644","canonicalUrl":"https://jobsearcher.com/jobs/bcac1a02b5befa72a4303644","title":"Senior DevOps Data Engineer","description":"Summary of Duties & Responsibilities\nOur client is seeking a driven, passionate Sr DevOps Data Engineer experienced with developing DevOps/MLOps solutions for Azure Services. This individual has a site reliability engineer mindset, has technical depth and hands-on experience of DevOps practices, and works well with a team. The Sr DevOps Data Engineer provides solutions and support to the entire delivery pipeline to facilitate improved collaboration, version control, standardization of environments, continuous integration, continuous deployment, continuous delivery with an emphasis on using automation to improve quality checks and deployment efficiencies. Expected to have hands on technical experience in infrastructure setup, configuration management, and source code version control.\nEssential Functions\nDesign and implement solutions to automate the CI/CD pipelines for Big Data applications\nBuild and maintain data pipelines for analytics and model training\nBuild systems that dynamically scale\nVersion Control, branching and merging\nInfrastructure provisioning, configuration, management, and monitoring\nPlan Deployments for high availability\nDevelop and document processes that support development and production maintenance\nIdentify, troubleshoot, and resolve system and deployment issues\nCollaborate with multiple feature development teams in an Agile environment to identify infrastructure needs and requirements for building, deploying their applications into shared environments\nWork closely with development teams as SME to ensure deployable solutions that support best practices\nDefine, enforce, and mentor software configuration management implementation standards and best practices, including driving the depth, coverage and quality technical reviews\nAble to work in a fast-paced, collaborative team environment\nEvaluate and recommend new tools, software, or practices that contribute to overall improvement\nTranslate business goals (time-to-market, cost control, risk reduction, scalability) into technical delivery decisions. This means prioritizing work based on business impact, not personal technical preference\nCommunicate complex technical risks, tradeoffs, and progress in clear, executive-friendly language is critical. This includes framing DevOps issues as business risks or enablers, using concise narratives, visuals, and metrics rather than deep technical detail unless requested\nOwn delivery outcomes, not just enable them. This includes taking responsibility for delivery timelines, failure modes, post-incident learning, and continuous improvement - while aligning expectations clearly with business stakeholders\nSkills & Competencies\nExperience designing, implementing and supporting deployments of large-scale data intensive applications and data lakes\nStrong expertise building CI/CD pipelines leveraging Azure DevOps Pipeline\nHands-on experience and solid understanding of Azure products such as Azure Databricks, Azure Data Lake, Azure Key Vault\nExperience with Azure Data suite (i.e Data Factory, Azure SQL and Azure Synapse), Kubernetes Services and Azure Machine Learning Services\nExperience with Azure DevOps Repos, Pipelines, Boards and Artifacts or comparable tools\nStrong experience in Infrastructure as Code\nStrong knowledge of configuration management tools\nExcellent troubleshooting skills in resolving application deployment and cloud infrastructure issues in a distributed big data architecture\nHands-on experience in building and deploying big data infrastructure in Azure\nStrong experience building machine learning pipelines\nStrong Coding/Scripting experience in Python, PowerShell\nExperience in an Agile environment and DevOps practices\nExcellent analytical and problem-solving skills with a high aptitude to learn\nExcellent written and verbal communication skills\nStrong interpersonal and presentation skills\nStrong organizational skills, with the ability to effectively prioritize and multi-task\nEducation or Prior Work Experience\nBachelors degree or 6 or more years of work-related experience\n5+ years of deep, practical expertise installing, configuring, and maintaining enterprise-scale software products and solutions\nAzure Certifications or equivalent cloud computing certification","company":"Inclusion Cloud","rawCompany":"inclusion cloud","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:06:31.481Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior DevOps Data Engineer","description":"Summary of Duties & Responsibilities\nOur client is seeking a driven, passionate Sr DevOps Data Engineer experienced with developing DevOps/MLOps solutions for Azure Services. This individual has a site reliability engineer mindset, has technical depth and hands-on experience of DevOps practices, and works well with a team. The Sr DevOps Data Engineer provides solutions and support to the entire delivery pipeline to facilitate improved collaboration, version control, standardization of environments, continuous integration, continuous deployment, continuous delivery with an emphasis on using automation to improve quality checks and deployment efficiencies. Expected to have hands on technical experience in infrastructure setup, configuration management, and source code version control.\nEssential Functions\nDesign and implement solutions to automate the CI/CD pipelines for Big Data applications\nBuild and maintain data pipelines for analytics and model training\nBuild systems that dynamically scale\nVersion Control, branching and merging\nInfrastructure provisioning, configuration, management, and monitoring\nPlan Deployments for high availability\nDevelop and document processes that support development and production maintenance\nIdentify, troubleshoot, and resolve system and deployment issues\nCollaborate with multiple feature development teams in an Agile environment to identify infrastructure needs and requirements for building, deploying their applications into shared environments\nWork closely with development teams as SME to ensure deployable solutions that support best practices\nDefine, enforce, and mentor software configuration management implementation standards and best practices, including driving the depth, coverage and quality technical reviews\nAble to work in a fast-paced, collaborative team environment\nEvaluate and recommend new tools, software, or practices that contribute to overall improvement\nTranslate business goals (time-to-market, cost control, risk reduction, scalability) into technical delivery decisions. This means prioritizing work based on business impact, not personal technical preference\nCommunicate complex technical risks, tradeoffs, and progress in clear, executive-friendly language is critical. This includes framing DevOps issues as business risks or enablers, using concise narratives, visuals, and metrics rather than deep technical detail unless requested\nOwn delivery outcomes, not just enable them. This includes taking responsibility for delivery timelines, failure modes, post-incident learning, and continuous improvement - while aligning expectations clearly with business stakeholders\nSkills & Competencies\nExperience designing, implementing and supporting deployments of large-scale data intensive applications and data lakes\nStrong expertise building CI/CD pipelines leveraging Azure DevOps Pipeline\nHands-on experience and solid understanding of Azure products such as Azure Databricks, Azure Data Lake, Azure Key Vault\nExperience with Azure Data suite (i.e Data Factory, Azure SQL and Azure Synapse), Kubernetes Services and Azure Machine Learning Services\nExperience with Azure DevOps Repos, Pipelines, Boards and Artifacts or comparable tools\nStrong experience in Infrastructure as Code\nStrong knowledge of configuration management tools\nExcellent troubleshooting skills in resolving application deployment and cloud infrastructure issues in a distributed big data architecture\nHands-on experience in building and deploying big data infrastructure in Azure\nStrong experience building machine learning pipelines\nStrong Coding/Scripting experience in Python, PowerShell\nExperience in an Agile environment and DevOps practices\nExcellent analytical and problem-solving skills with a high aptitude to learn\nExcellent written and verbal communication skills\nStrong interpersonal and presentation skills\nStrong organizational skills, with the ability to effectively prioritize and multi-task\nEducation or Prior Work Experience\nBachelors degree or 6 or more years of work-related experience\n5+ years of deep, practical expertise installing, configuring, and maintaining enterprise-scale software products and solutions\nAzure Certifications or equivalent cloud computing certification","datePosted":"2026-04-14T11:06:31.481Z","dateModified":"2026-04-14T11:06:31.481Z","hiringOrganization":{"@type":"Organization","name":"Inclusion Cloud","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bcac1a02b5befa72a4303644"},"url":"https://jobsearcher.com/jobs/bcac1a02b5befa72a4303644"}}