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# Site Reliability Engineer

- **Company:** American IT Systems
- **Location:** Parsippany-Troy Hills, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $98,000.0 - $164,000.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Bash Shell, BigQuery, Cloud Computing, Cloud Storage, Databases, System Configuration, Python (Programming Language), PostgreSQL, Performance Tuning, Reliability Engineering, Ansible, SQL Databases, Scripting, Google Cloud, Reliability of Systems, Firebase, Gitlab-ci, Kubernetes, Machine Learning Operations, Puppet, Terraform, Looker Analytics, Atlassian Bamboo, Jenkins, Databricks
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.com/jobad/us92af4fc52e4858b1fe1b413e4066ca64

## About the Role

Proficiency in Google Cloud services (Compute Engine, Kubernetes Engine, Cloud Storage, Pub/Sub, etc.).
Experience with database technologies (SQL & no SQL AlloyDB (PostgreSQL), DataBricks, Firestore, BigQuery, etc.).
Familiarity with Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.).
Experience with automation tools (Terraform, Ansible, Puppet).
Familiarity with CI/CD pipelines and tools (Azure pipelines Jenkins, GitLab CI, etc.).
Strong scripting skills (Python, Bash, etc.).

## Description

Site Reliability Engineer:We are looking for a talented Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP) and kubernetes. The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on premise and cloud based systems along with focus on reducing costs for Google Cloud.
System Reliability: Ensure the reliability and uptime of critical services and infrastructure.
Google Cloud Expertise: Design, implement, and manage cloud infrastructure using Google Cloud services.
Automation: Develop and maintain automation scripts and tools to improve system efficiency and reduce manual intervention.
Monitoring and Incident Response: Implement monitoring solutions and respond to incidents to minimize downtime and ensure quick recovery.
Collaboration: Work closely with development and operations teams to improve system reliability and performance.
Capacity Planning: Conduct capacity planning and performance tuning to ensure systems can handle future growth.Documentation: Create and maintain comprehensive documentation for system configurations, processes, and procedures.


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