{"id":2053052,"url":"https://alion.io/job/patterson-uti-intern-ult","title":"Intern ULT","company":{"id":2504637,"name":"Patterson-UTI","domain":"patenergy.com","url":"https://alion.io/company/patenergy","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":45,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fort Worth, United 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DevOps","optional":true},{"name":"Docker","optional":true},{"name":"GitHub","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-07T21:09:53Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-16T10:52:33Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Key Responsibilities\nCloud Engineering\nIntroduction to Microsoft Azure architecture and core Azure services.\n\nAssist with deployment and configuration of Azure resources, including App Service, Azure SQL Database, Storage, Key Vault, networking, containers, and monitoring.\n\nLearn Microsoft Entra ID, managed identities, role-based access control, and least-privilege access.\n\nFamiliarize Azure networking, monitoring, backup, resilience, and disaster recovery concepts.\n\nApply existing AWS/GCP cloud concepts to the Microsoft Azure environment.\n\nInfrastructure as Code & DevOps\nBuild and modify infrastructure using Terraform.\n\nUse Git-based source control, branching, pull requests, and code reviews.\n\nParticipate in CI/CD pipeline development using Git.\n\nLearn DEV, TEST/UAT, and PROD deployment practices, approvals, rollback, and release controls.\n\nAutomate repeatable infrastructure and application deployment processes.\n\nData Engineering & SQL\nWork with Microsoft SQL Server and Azure SQL.\n\nWrite, troubleshoot, and optimize SQL queries, views, stored procedures, and data transformations.\n\nUnderstand relational database design, data modeling, indexing, and query performance.\n\nDevelop ETL/ELT processes using enterprise data sources and APIs.\n\nImplement data quality, validation, error handling, logging, lineage, and monitoring practices.\n\nAssist with reporting and analytics solutions.\n\nApplication & API Development\nLearn and apply C# and .NET development practices.\n\nDesign, build, consume, and troubleshoot REST APIs.\n\nWork with authentication, authorization, configuration, secrets, logging, and error handling.\n\nBuild integrations between enterprise applications and data sources.\n\nParticipate in code reviews, testing, troubleshooting, and deployment.\n\nEnterprise IT Operations\nLearn how enterprise applications, databases, integrations, and infrastructure are designed and supported.\n\nParticipate in troubleshooting real application, database, integration, and infrastructure issues.\n\nUse logs, monitoring, metrics, and diagnostic information to investigate problems.\n\nLearn change-management and production-support processes.\n\nCreate and maintain clear technical documentation and participate in architecture/project discussions.\n\nInternship Development Expectations\nLearn: Understand the company environment, technology stack, development practices, security requirements, and operational processes.\nBuild: Complete increasingly complex technical assignments with guidance from senior team members.\nOwn: Take responsibility for a defined project (Sidekick/BRDB Modernization) or component from requirements and design through testing, deployment, documentation, and presentation.\nQualifications\nCurrently pursuing a degree in Computer Science, Systems Engineering, Software Engineering, Information Technology, Data Engineering, or a related field.\n\nProgramming experience and working knowledge of SQL and relational databases.\n\nUnderstanding of cloud computing, APIs, web application architecture, and Git/source control.\n\nStrong interest in cloud engineering, data engineering, software development, automation, and artificial intelligence.\n\nStrong analytical, troubleshooting, written, and verbal communication skills.\n\nWillingness to learn unfamiliar technologies and ability to work independently while knowing when to ask for assistance.\n\nPreferred Experience\nPython\n\nSQL\n\nDocker\n\nTerraform\n\nAWS, Azure, or GCP\n\nETL/ELT pipelines\n\nREST APIs\n\n.NET/C#\n\nGitHub or Azure DevOps\n\nData analytics\n\nMachine learning or generative AI\n\nWhat Success Looks Like\nExplain the architecture of key enterprise systems and their major integrations.\n\nBuild and deploy a basic Azure solution and provision cloud infrastructure using Terraform.\n\nWrite and troubleshoot SQL queries and build or modify an API/application component.\n\nCreate and use a CI/CD deployment pipeline.\n\nTroubleshoot technical problems using logs, monitoring tools, and systematic investigation.\n\nUnderstand core enterprise identity, security, secrets-management, and least-privilege concepts.\n\nBuild a practical generative AI or agentic AI solution.\n\nProduce professional technical documentation and take a small technical project from requirements through deployment.\n\nClearly present the design, implementation, lessons learned, and business value of completed 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