Infrastructure Engineer, Observability

Jobtailor; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor in the United States seeks an experienced infrastructure engineer to own and evolve a scalable observability platform spanning metrics, logs, traces, and events. You will drive the productization for internal teams and external customers while designing multi-tenant systems with scoped access.

The role emphasizes building telemetry pipelines, integrating data from GPUs, CPUs, networks, containers, and APIs; creating dashboards for InfraOps, Engineering, and Customer Success; and

Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles.
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics.
• Experience building and operating observability platforms at scale.
• Proficiency in Python, Go, or bash for automation and data integration.
• Familiarity with containerized environments and Kubernetes observability.
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent).
• Experience with multi-tenant monitoring architectures.
• Strong written and verbal communication skills.

Responsibilities

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts
• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking, containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail
• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale
• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments
• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

Skills

Observability platform design

SRE / infrastructure engineering

Python/Go/bash scripting

Kubernetes observability

Streaming telemetry pipelines

Multi-tenant monitoring architectures

Strong communication

Tools

Prometheus

Grafana

ELK

VictoriaMetrics

Kafka

OTEL

Promtail

Python

Go

Bash

Kubernetes

Job description

Responsibilities

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts
• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar
• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale
• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments
• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

Requirements

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills