Observability Engineer / Site Reliability Engineer

Ontrac Solutions; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Ontrac Solutions is seeking an experienced Observability / Site Reliability Engineer (SRE) to design, scale, and maintain our enterprise monitoring and alerting ecosystems across multi-cloud and native systems. In this role you will automate infrastructure using Terraform and Ansible, implement Kubernetes/GKE/OpenShift deployments, and establish SLI/SLOs to drive platform reliability.

You will bridge development and operations, optimize Linux performance, and contribute to a culture of

Qualifications

• Experience with Google Cloud Platform (GCP) observability tooling.
• Strong Linux/Unix admin and scripting skills.
• Proficiency in Python, Go, or Java for automation.
• Hands-on with Kubernetes, GKE, OpenShift.
• Experience with IaC tooling (Terraform, Ansible).

Responsibilities

• Design, scale, and maintain observability stacks across multi-cloud environments.
• Implement SLIs, SLOs and error budgets to improve reliability.
• Automate infrastructure deployments and monitoring tooling with IaC and CI/CD.
• Collaborate with development and operations to optimize performance.

Skills

GCP

Grafana

Prometheus

Linux

Shell scripting

Python/Go/Java

Kubernetes

OpenShift

Education

Bachelor's degree in CS/EE

Tools

Grafana GEM

Terraform

Ansible

GitHub

CI/CD tooling

Job description

About Ontrac Solutions

Ontrac Solutions is a leading technology consulting firm, specializing in cutting-edge solutions that drive business transformation. We partner with organizations to modernize their infrastructure, streamline processes, and deliver tangible results. By creating value beyond the hype, we help businesses modernize technology and build new strategies that fuel growth. Our team is committed to innovation, collaboration, and excellence, empowering our clients to succeed in an evolving digital landscape.

Role Overview

We are seeking an experienced Observability / Site Reliability Engineer (SRE) to design, scale, and maintain our enterprise monitoring and alerting ecosystems. In this role, you will bridge the gap between development and operations by ensuring high availability, performance tuning, and deep visibility across distributed multi-cloud and native systems. You will play a critical role in automating infrastructure and building robust observability pipelines using industry-leading cloud-native tools.

Key Responsibilities

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

Required Skills & Qualifications

• Cloud Infrastructure: Proven engineering experience within Google Cloud Platform (GCP) environments, particularly managing cloud-native monitoring and compute resources.
• Observability Tooling: Hands-on experience with Grafana, Prometheus, and Google Cloud Observability suites. Direct experience with GEM (Grafana Enterprise Metrics) is highly desirable.
• OS & Scripting: Expert-level knowledge of Linux/Unix operating systems paired with strong shell scripting skills for automation and systems management.
• Programming: Professional coding proficiency in at least one modern language (Python, Go, Java, Perl, or advanced Shell).
• Containers & Orchestration: Hands-on experience managing containerized applications on Kubernetes, GKE, and/or Red Hat OpenShift.

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