Engineer - DevOps & Cloud

Apply now Engineer - DevOps & Cloud Your Tasks: Design, rapid prototyping and implementation of scalable architectures on Azure as well as provision and further development of DevOps pipelines with a focus on infrastructure-as-code. Setup, management and operation of DevOps environments in Data Analytics & AI as well as further development of DevOps processes. Consulting and support in the field of software development with AI components on Azure. Technical consulting and support in the implementation of analytical proof-of-concepts as well as in the transfer into productive solutions. Working closely with project managers and data scientists as well as subject matter experts in agile projects. Aligning with IT and data protection teams to ensure compliance with data security and privacy policies and handing over applications to operations. Tracking relevant trends and developments and using them for analytical solutions. Your Qualification: Successfully completed studies in computer science or comparable qualification. Should have minimum 3-4 years of professional experience in DevOps, Cloud and Software Development, especially programming with Python. Experience in the use of MS Azure and current tools Expertise in the field of methods and frameworks for DevOps and cloud knowledge in the field of current data science methods is an advantage Independent way of working, excellent problem-solving skills and the ability to manage several topics at the same time High communication skills in English Above all: enthusiasm to help drive the use of data analytics and artificial intelligence at TV SD! Work Area: Digital, IT, IT Security & Safety Country/Region: India Job Location: Pune Working Model: Hybrid Employment Type: Full time / regular Company: TUV SUD South Asia Pvt. Ltd. Org Unit Code: SS1 Requisition ID: 2876 Duration in months (if limited contract): .buttontext73887d2357254480 a{ border: 1px solid transparent; } .buttontext73887d2357254480 a: focus{ border: 1px dashed #0046ad !important; outline: none !important; } Apply now Engineer - DevOps & Cloud Your Tasks: Design, rapid prototyping and implementation of scalable architectures on Azure as well as provision and further development of DevOps pipelines with a focus on infrastructure-as-code. Setup, management and operation of DevOps environments in Data Analytics & AI as well as further development of DevOps processes. Consulting and support in the field of software development with AI components on Azure. Technical consulting and support in the implementation of analytical proof-of-concepts as well as in the transfer into productive solutions. Working closely with project managers and data scientists as well as subject matter experts in agile projects. Aligning with IT and data protection teams to ensure compliance with data security and privacy policies and handing over applications to operations. Tracking relevant trends and developments and using them for analytical solutions. Your Qualification: Successfully completed studies in computer science or comparable qualification. Should have minimum 3-4 years of professional experience in DevOps, Cloud and Software Development, especially programming with Python. Experience in the use of MS Azure and current tools Expertise in the field of methods and frameworks for DevOps and cloud knowledge in the field of current data science methods is an advantage Independent way of working, excellent problem-solving skills and the ability to manage several topics at the same time High communication skills in English Above all: enthusiasm to help drive the use of data analytics and artificial intelligence at TV SD! Work Area: Digital, IT, IT Security & Safety Country/Region: India Job Location: Pune Working Model: Hybrid Employment Type: Full time / regular Company: TUV SUD South Asia Pvt. Ltd. Org Unit Code: SS1 Requisition ID: 2876 Duration in months (if limited contract): .buttontext73887d2357254480 a{ border: 1px solid transparent; } .buttontext73887d2357254480 a: focus{ border: 1px dashed #0046ad !important; outline: none !important; }