R&D Engineer 3, Software

Keysight Technologies; Gurugram District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Keysight Technologies in Gurugram is seeking a Senior Observability Engineer to design, build, and continuously improve monitoring for our on-prem and hybrid environments, spanning VMs, Kubernetes, and cloud workloads. You will define standards and architectures that give owners a precise, actionable view of system health and uptime.

You will implement monitoring with Zabbix, log pipelines to Splunk, and metrics via Prometheus and Grafana, while automating the setup with infrastructure-as-code

Qualifications

• Design end-to-end monitoring for enterprise apps on VMs, Kubernetes, bare-metal, and cloud.
• Define layered monitoring across hardware, OS, virtualization, network, storage, apps.
• Set standards for metrics, logs, alerting, dashboards, and SLIs/SLOs.

Responsibilities

• Design end-to-end monitoring for enterprise applications on VMs, Kubernetes, and bare-metal, with cloud extensions.
• Define layered monitoring spanning hardware to applications.
• Set and enforce metrics, logs, alerts, dashboards, and SLI/SLO standards.
• Define alert escalation policies and incident workflows to reduce noise and improve reliability.
• Design service topology and monitoring across infrastructure and application layers.
• Secure observability platforms and align with security standards; support audit readiness.

Skills

Observability engineering

System monitoring

Architectural design

Kubernetes

SRE practices

Incident response

Tools

Zabbix

Splunk

Prometheus

Grafana

Terraform

Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

We are looking for a Senior Observability Engineer to design, build, and continuously improve monitoring and observability for our enterprise environment. Most of the work focuses on on-premises systems: physical servers, virtualized infrastructure, and on-prem Kubernetes clusters, along with the infrastructure layers underneath them. Some cloud use cases are also in scope. Your goal is to give system owners and business stakeholders an accurate, actionable view of the health and uptime of the systems they depend on.
You will also help shape how we apply agentic AI to observability, moving from dashboards and alerts toward intelligent triage, correlation, and assisted remediation.

Responsibilities

Architecture and Design

• Design end-to-end monitoring and observability solutions for enterprise applications running on VMs, Kubernetes, and bare-metal servers, and extend them to cloud workloads where needed.
• Define a layered monitoring strategy that covers hardware, OS, virtualization, network, storage, platform services, and applications.
• Set standards for metrics, logs, alerting, dashboards, and service health models, including SLIs and SLOs where they apply.
• Make sound architectural decisions on tool roles, data flows, retention, scalability, and high availability across the observability stack.
• Define alert escalation policies, incident response workflows, and event correlation strategies to reduce operational noise and improve service reliability.
• Design service topology, dependency mapping, and business service monitoring across infrastructure and application layers.
• Secure observability platforms and integrations through access controls, authentication, encryption, and vulnerability remediation. Maintain compliance with enterprise security standards through platform hardening, audit readiness, and regular security reviews.

Implementation

• Build and maintain monitoring with Zabbix, covering templates, discovery, triggers, proxies, and integrations.
• Design and maintain log collection, parsing, enrichment, and routing pipelines into Splunk, including forwarders, sourcetypes, field extractions, indexes, and searches.
• Contribute to metrics and visualization with Prometheus and Grafana, particularly for Kubernetes workloads and unified dashboards.
• Automate the configuration and onboarding of monitoring using infrastructure-as-code and APIs.

Agentic AI for Observability

• Design and implement