Principal Devops Engineer - I

DTDL group.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Deutsche Telekom Digital Labs seeks a Principal DevOps Engineer to own cloud and platform architecture for large-scale microservices and AI workloads. You will drive CI/CD platform engineering for backend services, React-based apps, and mobile backends while enabling production-grade AI platforms.

You will define infrastructure as code standards, IAM/security controls, and observability, ensuring reliability, cost visibility, and ongoing platform modernization across AWS and other clouds.

Qualifications

• 10+ years of experience in DevOps/Cloud/Platform Engineering, including leadership.
• Deep hands-on AWS expertise with exposure to GCP/Azure in multi-cloud/hybrid setups.
• Production-grade containerized workloads with HA, fault tolerance, and capacity planning.

Responsibilities

• Define cloud and platform architecture for large-scale microservices and AI workloads.
• Lead CI/CD platform engineering for backend services, web apps, and mobile backends.
• Implement IaC standards, security controls, and cost visibility across clouds.
• Embed SRE practices with SLIs/SLOs and incident post-mortems.

Skills

AWS

Kubernetes

Docker

CI/CD

IaC

SRE

Observability

Cloud Security

Multi-Cloud

AI workloads

Tools

Terraform

Helm

Prometheus

Grafana

Job description

Company

Company: Deutsche Telekom Digital Labs, GurgaonDeutsche 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

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 environment 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.