Observability Engineer / Site Reliability Engineer

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

Job summary

Jobtailor is seeking an experienced SRE/Observability Engineer to architect, implement and maintain observability across cloud and hybrid environments. Your focus will be on Google Cloud Platform tooling (Cloud Logging, Cloud Monitoring, Trace and Profiler) and on building reliable dashboards with Grafana.

You will design and deploy robust observability stacks using Prometheus, Kubernetes (GKE/OpenShift) and cloud-native integrations, and drive IaC initiatives with Terraform and Ansible for

Qualifications

• Proven experience with Google Cloud Platform and cloud-native monitoring.
• Hands-on use of Grafana, Prometheus, and Google Cloud Observability suites.
• Expertise in Linux/Unix administration and shell scripting.
• Proficient in at least one modern language (Python/Go/Java).

Responsibilities

• Architect, optimize, and maintain observability frameworks across cloud environments.
• Design and deploy observability stacks across hybrid ecosystems.
• Implement IaC with Terraform and Ansible for automated deployments.
• Manage containerized apps on Kubernetes and GKE/OpenShift with CI/CD pipelines.
• Define SLIs, SLOs, and error budgets to improve reliability.

Skills

GCP

Grafana

Prometheus

IaC

Kubernetes

Terraform

Ansible

Linux

Shell Scripting

Python

Tools

GKE

OpenShift

CI/CD

GitHub

Harness

Job description

• Architect, optimize, and maintain observability frameworks across cloud environments, with a specific focus on implementing Google Cloud Platform (GCP) observability tools (Cloud Logging, Cloud Monitoring, Trace, and Profiler).
• Design, deploy, and maintain robust observability stacks across hybrid ecosystems, utilizing Prometheus, Grafana, and cloud-native integrations.
• Drive infrastructure-as-code (IaC) initiatives using Terraform and Ansible to ensure consistent, automated deployments of infrastructure and observability tooling.
• Build, maintain, and optimize deployment workflows within Kubernetes and Google Kubernetes Engine (GKE) / OpenShift environments using GitHub, Harness, and other CI/CD pipelines.
• Deeply analyze Linux/Unix system administration architectures, optimizing compute resource metrics and performance tuning across complex, distributed environments.
• Implement SRE best practices, establishing meaningful Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets to ensure platform reliability.

Requirements

• Proven engineering experience within Google Cloud Platform (GCP) environments, particularly managing cloud-native monitoring and compute resources.
• Hands‑on experience with Grafana, Prometheus, and Google Cloud Observability suites.
• Expert‑level knowledge of Linux/Unix operating systems paired with strong shell scripting skills for automation and system management.
• Professional coding proficiency in at least one modern language (Python, Go, Java, Perl, or advanced Shell).
• Hands‑on experience managing containerized applications on Kubernetes, GKE, and/or Red Hat OpenShift.

Core Competencies

Demonstrates expertise in architecting and optimizing observability frameworks within Google Cloud Platform (GCP) environments, utilizing tools such as Grafana and Prometheus. Proficient in implementing infrastructure-as-code (IaC) practices with Terraform and Ansible, and managing containerized applications in Kubernetes and GKE.

Highest-signal resume keywords

• Google Cloud Platform (GCP)
• Grafana
• Prometheus
• Infrastructure-as-Code (IaC)
• Kubernetes

ATS Optimization Keywords

Hard Skills

• Linux/Unix System Administration
• Shell Scripting
• Python
• Go
• Java
• Perl
• Terraform
• Ansible
• Cloud Logging
• Cloud Monitoring

Industry Keywords

• Observability Frameworks
• Service Level Indicators (SLIs)
• Service Level Objectives (SLOs)
• Error Budgets
• Cloud-Native Integrations

Tools & Technologies

• Google Kubernetes Engine (GKE)
• OpenShift
• CI/CD Pipelines
• GitHub
• Harness