Company: Deutsche Telekom Digital Labs, Gurgaon

Deutsche Telekom Digital Labs is the captive unit of the global telecom giant & we create compelling digital propositions by building scalable and agile platforms to provide the best of digital experience to Deutsche Telekom customers across Europe.

We aim to bring all the Deutsche Telekom customers onto our digital products by simplifying the experience. This includes innovative approaches to allow the user to explore compelling propositions, recommend most suitable services based on micro segmentation and so on.

You ask what’s in it for you? We say,

- An opportunity to build digital products from scratch (literally from scratch!) for one of the leading European telecoms (Deutsche Telekom) using latest technologies & on cloud native platforms.
- Enhanced customer experience, convergence, and increased business productivity, continuously investing into entrepreneurial value creation projects to build agility and cross functional teams in order to steer innovative business models.

If this excites you, then join this dream team of technologists, who are passionate about building great products & are looking to disrupt the European market through their digital offerings!

Role: Principal DevOps Engineer

Role- We are seeking a Principal DevOps Engineer to lead Cloud and Platform engineering for AI-first teams, operating at the intersection of large-scale containerized production systems and next-generation Agentic AI and LLM deployments.

This role is responsible for building and operating highly Reliable, Secure, and Scalable platforms that support mature microservices-based workloads while enabling rapid experimentation and production rollout of Agentic AI systems. You will work closely with AI/ML, platform, and product teams across India and Europe to operationalize AI solutions at scale.

Key Responsibilities





- Define and own the cloud and platform architecture for large-scale containerized microservices and Agentic AI / LLM workloads, ensuring scalability, reliability.

- Lead CI/CD platform engineering, enabling automated build, test, security scanning, and deployment for backend services, React-based web applications, and mobile app backends.
- Enable production-grade AI platforms, supporting agent frameworks, vector databases, prompt pipelines, and inference
- Define Infrastructure as code standards, cloud account structures, networking, and environment provisioning across AWS and secondary clouds.
- Implement and enforce SRE practices: define SLIs/SLOs, error budgets, capacity and reliability targets, and lead incident response and post-incident reviews.
- Ensure end-to-end observability across services and AI workloads, including logs, metrics, traces, model performance, and cost visibility
- Embed security, compliance, and governance by design, including IAM, secrets management, network security, vulnerability management, and AI-specific controls.
- Make informed build vs. buy decisions, evaluate emerging cloud and AI infrastructure technologies, and drive continuous platform modernization.

Must Have

- 10+ years of experience in DevOps / Cloud / Platform Engineering, including people management and technical leadership
- Deep hands-on expertise with AWS, with working exposure to GCP and Azure in multi-cloud or hybrid environments
- Proven experience operating large-scale, production-grade containerized workloads,



with strong understanding of high availability, fault tolerance, and capacity planning in global teams
- Practical experience supporting AI/ML or LLM workloads in production environments
- Strong expertise in Kubernetes and Docker, including cluster operations, workload isolation, ingress, service meshes, and deployment strategies
- Advanced experience with ‘Infrastructure as Code’ for cloud provisioning, networking, security controls, and setting standardization across multiple stages
- Solid understanding of observability and reliability engineering, including metrics, logging, tracing, alerting, and defining SLIs/SLOs for distributed systems and AI services
- Hands-on exposure with cloud security and compliance practices, including IAM design, secrets management, vulnerability scanning, and secure deployment patterns—especially for AI platforms
- Knowledge of cloud cost optimization (FinOps), especially for AI workloads
- Background in strong product-based organizations solving real customer-facing problems

Deutsche Telekom is one of the world's leading integrated telecommunications companies, with some 252 million mobile customers, 25 million fixed-network lines, and 22 million broadband lines. Deutsche Telekom is present in more than 50 countries. With a staff of some 200,000 (Dec 31, 2023) employees throughout the world, we generated revenue of 111,9 billion Euros in the 2023 financial year. As of 2023, It is rated as the 9th most valuable brand in the world.

Deutsche Telekom Digital Labs is the digital powerhouse that fuels Deutsche Telekom’s vision to be a “Leading Digital Telco”. We create compelling digital propositions for the worlds’ largest Telekom giant by building scalable, agile and innovative platforms to provide the best of digital experience to Deutsche Telekom customers across Europe and US.

📌 Principal Devops Engineer - I (Bengaluru)
🏢 Deutsche Telekom Digital Labs
📍 Bengaluru