19 hours ago
Gurgaon, IndiaSenior
Responsibilities
- Design end-to-end observability architecture for enterprise applications and infrastructure across VMs, Kubernetes, bare-metal servers, and cloud workloads.
- Define monitoring standards for metrics, logs, alerting, dashboards, service health models, SLIs, SLOs, escalation policies, incident workflows, topology, and dependency mapping.
- Build and maintain Zabbix monitoring, Splunk log collection and processing pipelines, and Prometheus and Grafana metrics and visualization.
- Automate monitoring configuration and onboarding using infrastructure-as-code and REST APIs.
- Design and implement LLM-based agents for alert triage, deduplication, event correlation, root-cause analysis, incident summarization, and human-approved remediation.
- Establish guardrails, permissions, auditability, and impact measurement for AI-driven production operations.
- Secure observability platforms through access controls, authentication, encryption, vulnerability remediation, hardening, and audit readiness.
- Collaborate with system owners and stakeholders, provide technical leadership and mentoring, and improve monitoring using incidents and post-mortems.
Requirements
- 5+ years of experience in infrastructure, operations, or observability engineering, including at least 3 years focused on monitoring and observability in primarily on-premises enterprise environments.
- Production-level hands-on experience with Zabbix and Splunk.
- Experience monitoring physical servers, virtualization platforms such as VMware, Hyper-V, and KVM, and Kubernetes clusters.
- Strong knowledge of compute, Linux and Windows operating systems, networking, storage, and infrastructure dependencies.
- Experience with large-scale log collection and processing, including parsing, normalization, enrichment, retention, and search optimization.
- Practical experience applying agentic AI, LLM agents, tool use, and automation to monitoring, operations, or incident management.
- Experience designing monitoring architecture, alert escalation policies, incident workflows, event correlation, service topology, dependency mapping, and business service monitoring.
- Working knowledge of access control, authentication, encryption, platform hardening, and observability security.
- Strong scripting skills with Python, Bash, or PowerShell and experience with REST APIs.
- Excellent communication skills with technical owners and non-technical stakeholders.
- Preferred experience with Prometheus exporters, alerting rules, Alertmanager, long-term storage, Grafana dashboards, multi-source visualization, cloud workloads on AWS, Azure, or GCP, hybrid environments, and software development for integrations, tools, exporters, or services.
Tech Stack
Categories
About Keysight
Keysight Technologies builds electronic test and measurement instruments and software used for design, validation, and manufacturing by engineers in communications, semiconductor, aerospace and defense, automotive, and data center markets. Its portfolio includes oscilloscopes, signal and network analyzers, RF/microwave test systems, and EDA and network test software, sold with services and support. Founded in 2014 as a spin-off from Agilent Technologies, Keysight is a public company (NYSE: KEYS) headquartered in Santa Rosa, California.