DevOps Engineer

Company Introduction – T-Systems ICT India Pvt. Ltd.

T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a certified Great Place To Work®, proudly recognized for its strong people-first culture and commitment to employee excellence.

As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates out of Pune and Bangalore, with a dynamic team of over 4,200 professionals delivering high-value IT services to group customers worldwide. T-Systems India plays a key role in this global vision by delivering integrated, end-to-end IT solutions and sector-specific software to drive transformation across industries, including automotive, manufacturing, logistics, transportation, healthcare, and the public sector.

For over 25 years, T-Systems International GmbH has been at the forefront of digital innovation, driving progress and fostering digital optimism. As a leading European IT services provider and a proud part of Deutsche Telekom, T-Systems delivers transformative digitalization projects backed by deep expertise in consulting, cloud, AI, cybersecurity, and connectivity. With a global workforce of 26,000 employees across 26 countries, we set industry benchmarks in efficiency, sovereignty, security, and reliability—empowering organizations to unlock their full digital potential. With annual revenues exceeding EUR 4.0 billion (2024), T-Systems stands as one of Europe’s foremost digital transformation partners, committed to shaping the future of enterprise technology.

 

 

• You will support the AI project teams, especially the forecasting delivery unit, to implement and improve the data processing & machine learning pipelines across projects
• You will be the backbone for our Data Scientists, and work closely with team members and internal customers in Deutsche Telekom Group across Europe to optimize our data solutions and infrastructures
• You will evolve, harmonize, and refactor the existing solutions across projects
• You will validate and implement business changes in the code repository and ensure its standardization
• You will have the opportunity to work with a variety of tools and technologies like Python, Scikit-learn, Keras, Spacy, Docker, Kubernetes, Flask, SAP or Tesseract and BI dashboarding tools like MicroStrategy, SAC, Tableau, ... knowledge of these is helpful
• You will develop and maintain applications in our server / cloud environment
• You will assist data scientists with productization of prototype applications – e.g., logging, monitoring, testing
• You will write documentation and guidelines
• You will automate processes for ETL
• You will identify, design, and implement internal process improvements: e.g., automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• You will participate in designing data architecture for various innovative prototypes and applications
• You will create data tools for analytics and data scientist team members

Requirements/ Skills

You have working experience in IT – e.g., software development, automation, DevOps, data science – with good understanding of time series forecasting and its scalability.

• You are good at coding in Python
• You prefer Linux to Windows
• Experience with at least one of the major cloud service providers
• You have experience working on a fully automated CI / CD pipeline
• You have SQL knowledge and experience working with relational databases
• You follow current trends in IT
• You can develop working solutions quickly and you get things done
• You are an analytical thinker, have an affinity for structure, grasp things fast and work systematically
• You are aware of and willing to apply Agile methodology (Scrum, XP, Kanban etc.)
• You are a team player, open for international environment and can travel occasionally to Europe
• Agile mindset, communication skills and willingness to active participation in team discussions
• You are not afraid to ask questions when something is not clear or point out when something seems inefficient to you

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