Site Reliability Engineer — Cloud Observability & Automation

FastTek Global; Dearborn (MI); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical and Dental

Vision

PTO Program

Long Term Disability

Life Insurance

401(k) with match

Job summary

FastTek Global is seeking a Site Reliability Engineer to join the GDI&A SRE team, focusing on observability, monitoring, and technical consulting across GCP-based data platforms. You’ll work hands-on with cloud infrastructure, BigQuery workloads, CI/CD pipelines and enterprise monitoring tools to keep critical systems healthy, performant, and reliable at scale.

The role emphasizes automating routine tasks, capacity planning, incident management, and collaboration with engineering teams to

Qualifications

• 4+ years in IT; 3+ years in development.
• Hands-on with Google Cloud Platform (GCP).
• Proficiency with monitoring/observability tools (Dynatrace or similar).
• Familiar with ITSM tools such as ServiceNow.

Responsibilities

• Collaborate with Infrastructure teams to automate routine tasks.
• Monitor and manage production environments, preemptively addressing issues.
• Build tooling for system access monitoring and reliability across data centers.
• Improve on-call efficiency, incident management, and post-mortem analysis.
• Conduct capacity planning to support growing traffic and demand.
• Maintain, monitor, and alert on system health checks.
• Enhance performance, stability, and security via data-driven optimization.
• Create and maintain documentation and diagrams.

Skills

BigQuery

Dynatrace

GCP

Education

Bachelor's Degree

Tools

GCP Cloud Run

Python

Troubleshooting

Job description

FastTek Global is seeking a Site Reliability Engineer to join the GDI&A SRE team, focusing on observability, monitoring, and technical consulting across GCP-based data platforms. You’ll work hands-on with cloud infrastructure, BigQuery workloads, CI/CD pipelines and enterprise monitoring tools to keep critical systems healthy, performant, and reliable at scale.

The role emphasizes automating routine tasks, capacity planning, incident management, and collaboration with engineering teams to