{"id":2266418,"url":"https://alion.io/job/ernst-young-dataops-cloud-devops-engineer-senior-ey-global-delivery-services","title":"DataOps / Cloud DevOps Engineer - Senior - EY Global Delivery Services","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":108000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2792},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-11T02:00:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T02:55:04Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"EY GDS is actively recruiting a DataOps /Cloud DevOps Engineer to join our growing Cloud, Data & AI practice. We are looking for a technology professional with experience supporting enterprise cloud platforms, data ecosystems, and modern application delivery through automation, Infrastructure as Code, and DevOps best practices.\nThe successful candidate will work closely with solution architects, cloud engineers, data engineers, application developers, and client stakeholders to build, automate, and maintain scalable cloud environments and deployment frameworks that enable reliable delivery of business-critical solutions.\nAs a DataOps /Cloud DevOps Engineer at EY GDS, you will help accelerate the delivery of cloud applications, analytics platforms, and AI solutions by implementing Infrastructure as Code, CI/CD pipelines, container platforms, monitoring capabilities, and operational excellence practices across enterprise environments.\nResponsibilities\nDesign, develop, and maintain CI/CD pipelines supporting cloud applications, data platforms, and AI solutions.\n\nImplement and manage Infrastructure as Code (IaC) using Terraform and cloud-native services.\n\nDeploy, configure, and maintain enterprise cloud environments across Azure and/or AWS.\n\nBuild and support Kubernetes-based platforms for containerized workloads and microservices.\n\nAutomate application, infrastructure, and data platform deployments across development, testing, and production environments.\n\nDevelop and maintain GitHub Actions workflows and deployment automation frameworks.\n\nSupport ci/cd for cloud-native services including Azure Functions, Web Apps, APIs, Kubernetes Services, and other platform components.\n\nCollaborate with solution architects, software developers, and data engineering teams to improve platform reliability, scalability, and deployment efficiency.\n\nImplement monitoring, logging, alerting, and observability solutions across cloud platforms.\n\nSupport security, compliance, identity management, secrets management, and governance requirements.\n\nContribute to reusable deployment templates, engineering standards, and platform automation frameworks.\n\nPromote DevOps and DataOps best practices, including source control, automated testing, release management, and operational excellence.\n\nRequired experience\n3 to 6 years of experience in DevOps, Cloud Engineering, Platform Engineering, DataOps, or related roles.\n\nBachelor’s degree in computer science, Software Engineering, Information Technology, Data Engineering, or a related field.\n\nExperience designing and maintaining CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar technologies.\n\nStrong experience with Infrastructure as Code and Terraform.\n\nExperience with Azure Kubernetes Service (AKS), Amazon EKS, or other Kubernetes platforms.\n\nExperience with scripting and automation using Python, PowerShell, Bash, or similar languages.\n\nKnowledge of cloud-native architectures and application hosting patterns.\n\nFamiliarity with enterprise data platforms and modern analytics ecosystems.\n\nUnderstanding of cloud security, networking fundamentals, and operational best practices.\n\nExperience working with Azure and/or AWS cloud platforms.\n\nExcellent communication and stakeholder management skills.\n\nConsulting mindset with the ability to adapt to different client environments and technology stacks.\n\nWe are looking for passionate individuals who enjoy building and automating modern cloud platforms that power applications, data products, and AI solutions. 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