
T-Systems ICT India Pvt. Ltd.
T-Systems ICT India Pvt. Ltd. provides integrated IT and digital transformation services, including cloud migration and operations (Azure), SAP S/4HANA services, application development, analytics, and cybersecurity for global enterprises. A wholly owned subsidiary of T-Systems International GmbH (part of Deutsche Telekom), it was founded in 2016 and is headquartered in Pune with an additional center in Bengaluru. The India unit supports industries such as automotive, manufacturing, logistics, healthcare, and the public sector.
Open Positions at T-Systems ICT India Pvt. Ltd.
14 open positions
Build cloud-native full-stack applications while driving DevOps automation, container orchestration, and observability on Microsoft Azure. This role combines .NET and Angular development with hands-on ownership of deployment and cloud operations.
Build enterprise-grade Generative AI applications, RAG pipelines, and agentic workflows as an AI Senior Developer. The role focuses on deploying LLM-powered solutions and integrating them with enterprise systems.
Lead the architecture and delivery of enterprise-grade Generative AI, LLM, RAG, and Agentic AI solutions. This role combines senior software engineering, AI solution design, cloud platforms, MLOps, and technical leadership.
Lead the design and delivery of enterprise-grade Generative AI, LLM, RAG, and Agentic AI solutions for business transformation. The role combines AI architecture, hands-on engineering, cloud platforms, MLOps, governance, and technical leadership.
Build production-ready agentic AI solutions that transform enterprise workflows and business operations. This hands-on role focuses on LLM-powered agents, RAG, intelligent orchestration, and secure deployment at scale.
Build MINDR’s production-grade multi-agent runtime, powering automated root-cause analysis and human-approved remediation for network incidents. This senior AI development role combines agent orchestration, diagnostic reasoning, API integration, and cloud streaming infrastructure.
MLOps Engineer supporting AI project teams by building, improving, and standardizing data processing and machine learning pipelines. The role combines Python development, cloud infrastructure, automation, and data tooling for forecasting and analytics teams.
Cloud Engineer responsible for designing, automating, deploying, and operating reliable Azure infrastructure. The role focuses on Infrastructure as Code, CI/CD automation, incident resolution, networking, and high-availability cloud solutions.
The AI Architect designs scalable, reliable, and maintainable AI architectures while leading AI initiatives and guiding development teams. The role combines enterprise AI strategy, hands-on proof-of-concept coding, cloud connectivity, and machine learning expertise.
Architect and operate large-scale observability solutions for backend and cloud services, centered on OpenTelemetry, Grafana, Azure, and Kubernetes. The role leads observability strategy, production health, and adoption across engineering teams while mentoring stakeholders.
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