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Join our data infrastructure team as a DevOps Engineer. In this role, you will not only design, implement and support cloud and onprem infrastructure but also ensure our operations meet all relevant privacy and security requirements. You will be key in providing documentation and implementing controls needed for compliance across cloud services, data pipelines, and analytics systems.
The Automation & Innovation Department builds solutions powered by AI, GenAI, process automation (RPA, BPA, AIM) and data analytics/ML models running in GCP, AWS and Kubernetes . We deliver a wide range of projects across T-Mobile - from network operations to sales and customer care, plus internal and international initiatives - with a strong focus on data platforms and data engineering (data lake/warehouse in BigQuery, ETL/ELT orchestration, data governance, data quality and security). Our portfolio includes things like conversational assistants for HR and sales, knowledge search tools for consultants, employee development apps or proactive customer communication systems.
We work in a fast, flexible environment with a startuplike mindset — we value creativity, rapid experimentation, and technologies that genuinely make teams’ work easier and improve customer experience. By combining AI + automation + data, we build solutions that shape the future of processes, services and technology at T-Mobile .
Join our data infrastructure team as a DevOps Engineer. In this role, you will not only design, implement and support cloud and onprem infrastructure but also ensure our operations meet all relevant privacy and security requirements. You will be key in providing documentation and implementing controls needed for compliance across cloud services, data pipelines, and analytics systems.
The Automation & Innovation Department builds solutions powered by AI, GenAI, process automation (RPA, BPA, AIM) and data analytics/ML models running in GCP, AWS and Kubernetes . We deliver a wide range of projects across T-Mobile - from network operations to sales and customer care, plus internal and international initiatives - with a strong focus on data platforms and data engineering (data lake/warehouse in BigQuery, ETL/ELT orchestration, data governance, data quality and security). Our portfolio includes things like conversational assistants for HR and sales, knowledge search tools for consultants, employee development apps or proactive customer communication systems.
We work in a fast, flexible environment with a startuplike mindset — we value creativity, rapid experimentation, and technologies that genuinely make teams’ work easier and improve customer experience. By combining AI + automation + data, we build solutions that shape the future of processes, services and technology at T-Mobile .
,[Collaborate with data engineering, analytics and operations teams to streamline data applications, incl. big data and operational workflows., Monitor infrastructure health, performance and security, and resolve issues promptly., Implement and enforce privacy and security requirements, in line with organizational and regulatory standards., Provide thorough documentation of infrastructure, processes and compliance controls., Lead efforts for technical implementation of access controls, encryption, data retention and security monitoring., Conduct regular reviews and audits of systems to ensure ongoing compliance and drive remediation as needed., Automate and document recurring operational and compliance procedures to ensure reliability and transparency. Requirements: DevOps, Data management, Kubernetes, Spark, Analytics platform, Infrastructure as Code, Cloud, Networking, Security