Описание

This is a technical lead role for building and operating cloud-native platform components and AI-powered operations at ServiceNow in Hyderabad.

Lead the design and delivery of complex components and services within the cloud-native platform, owning them from design through production operation
Act as the technical lead for major features and initiatives within the team, translating ambiguous problems into clear, scalable, and executable designs
Partner with Principal and Distinguished Engineers to ensure alignment with broader platform architecture, engineering standards, and long-term technical strategy
Identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, operability, and engineering excellence
Maintain a strong hands-on presence across the development lifecycle, including designing, coding, and reviewing core systems such as Kubernetes operators, controllers, infrastructure automation, and platform services
Mentor mid-level and junior engineers while raising the engineering bar through code reviews, design reviews, technical guidance, and collaborative problem-solving

Experience leveraging or critically thinking about how to integrate AI into engineering and platform work (AI-powered tooling, automated operational workflows, agentic systems for fleet visibility and operations, or reasoning about AI

-s impact on how infrastructure is built and run)

14+ years of experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production environments
Demonstrated experience building and operating Kubernetes platform infrastructure at scale, with ownership of platform capabilities through deployment, upgrades, and production operations
Hands-on developing Kubernetes Operators, Admission Controllers, or other platform extensions using Kubebuilder, Operator Framework, or similar technologies
Experience operating both managed Kubernetes services (EKS, AKS, GKE) and self-managed Kubernetes environments
Experience supporting cloud-native database platforms, large-scale data infrastructure, or stateful services on Kubernetes
Strong software engineering expertise in Go, with hands-on experience developing Kubernetes Operators, Controllers, Custom Resource Definitions (CRDs), and platform automation capabilities
Deep understanding of Kubernetes architecture, including orchestration, scheduling, security, storage, networking, and workload management

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