Leader, Software Engineering

Cisco ThousandEyes · Bangalore, India

Bangalore, India8–10 yearsPosted 13 Nov 2026Last checked 13 Nov 2026

Free account: apply link, HR contact and an AI-written cold email

About the role

Meet the Team Cisco Nexus Dashboard is the unified operations platform designed to simplify and accelerate data center management. Built on a robust, Kubernetes-based micro-services architecture, it serves as a single pane of glass for the Cisco data center portfolio. By integrating advanced telemetry, orchestration, and policy management services, the platform empowers organizations to streamline their operational workflows, enhance visibility, and ensure consistent configuration and security across diverse physical and virtual environments. The Nexus Dashboard infrastructure team serves as the backbone of our platform, engineering the critical services that ensure stability, security, and seamless lifecycle management for our global data center customers. By managing the core Kubernetes-based architecture, our team provides the essential foundation upon which advanced orchestration, telemetry, and policy services are built and scaled. We are a fast-paced, dynamic group that thrives on collaboration, constant innovation, and a sense of urgency, working closely with cross-functional teams to solve complex infrastructure challenges in real time. We foster a culture of continuous learning, coaching, and technical excellence, making this the ideal environment for leaders passionate about building robust, high-scale infrastructure. Your Impact Joining the Nexus Dashboard infrastructure team means operating at the cutting edge of platform technologies, where you will direct software systems, applications, and quality assurance functions while driving the AI transformation of our engineering processes. Core Platform Engineering: Maintain the core infrastructure of the Nexus Dashboard, ensuring high availability and performance across its integrated data stack, including PostgreSQL, OpenSearch, and Kafka. Cluster Lifecycle Management: Oversee the full deployment lifecycle of multi-node clusters, including automated installation, configuration, and seamless inline software upgrades across diverse physical and virtual form factors. System Reliability & Observability: Support critical infrastructure services, including robust backup and restore frameworks, automated anomaly detection, and comprehensive audit logging to ensure uncompromising platform quality, reliability, and operational transparency. Scalability & Performance Optimization: Collaborate with cross-functional engineering teams to optimize platform scalability and resource efficiency, ensuring a resilient foundation for data center telemetry and orchestration services. What You’ll Do Lead, mentor, and coach a team of software engineers, fostering a culture of continuous learning, high performance, and operational excellence. Drive change and embrace AI transformation by translating the organization's AI vision into actionable team strategies, championing an AI-first approach to reinvent product development.

Skills mentioned

  • Node.js
  • Kubernetes
  • Linux
  • PostgreSQL
  • Kafka

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