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Site Reliability Engineer

cyberThink, Inc.Austin, TX🇺🇸United StatesPosted 9 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Austin, TX, United States
Posted
Yesterday
AWSSplunkAnsibleAzureDatadogGoogle CloudGrafanaKubernetesPrometheusPythonTerraform

Job Description

Job Summary

We are seeking a motivated Site Reliability Engineer (Contractor) with 3 to 5 years of experience in automation, cloud infrastructure, and production operations. The ideal candidate has a strong automation-first mindset and enjoys solving complex operational challenges. This role focuses on improving reliability, observability, operational efficiency, and automation across on-premises and cloud platforms.

Key Responsibilities

Automation & Platform Engineering

• Develop Python-based automation solutions to reduce manual operational effort.

• Automate infrastructure management across Linux, Windows, Kubernetes, Google Cloud Platform, and cloud-native environments.

• Integrate tools and platforms through APIs and client libraries.

• Assist in implementing infrastructure automation using Ansible, Terraform, or similar technologies.

• Support CI/CD automation and deployment reliability initiatives.

Reliability & Operations

• Monitor and maintain production systems to meet reliability and availability objectives.

• Participate in incident response, troubleshooting, and root cause analysis activities.

• Develop automation and operational improvements to prevent recurring issues.

• Support disaster recovery, failover testing, and operational readiness activities.

• Perform performance analysis and system health reviews.

Observability & Monitoring

• Build and maintain dashboards, alerts, and monitoring solutions using Splunk, Grafana, Prometheus, Google Cloud Platform Operations Suite, or similar tools.

• Improve visibility into application and infrastructure health through metrics, logs, and traces.

• Investigate alerts and identify opportunities to reduce noise and improve detection.

AIOps & Intelligence

• Explore AI/ML-driven operational improvements such as anomaly detection, intelligent alerting, and log analytics.

• Assist in developing automation solutions that leverage AI to improve operational efficiency.

• Participate in evaluating emerging AIOps capabilities and observability technologies.

 

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.

• 3 to 5 years of experience in Site Reliability Engineering, DevOps, Systems Engineering, or Platform Engineering.

• Strong programming skills in Python for automation and tooling development.

• Experience supporting Kubernetes and cloud platforms (Google Cloud Platform, AWS, or Azure).

• Familiarity with infrastructure automation and configuration management tools.

• Experience with monitoring and observability platforms such as Splunk, Grafana, Prometheus, Datadog, or similar.

• Understanding of Linux systems, networking, and distributed applications.

• Strong analytical, troubleshooting, and problem-solving skills.

• Ability to work effectively in fast-paced, mission-critical environments.

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