Onsite SRE: Cloud Reliability & Observability Engineer

Stefanini, Inc; Dearborn (MI); Hybrid; USD 84,000 - 91,000; Part time

Job summary

Stefanini Group is hiring a Site Reliability Engineer for Dearborn, MI (Onsite). You will focus on ensuring availability, reliability and performance of cloud and network systems by automating routine tasks.

The role emphasizes observability, monitoring, and working hands-on with GCP data platforms, BigQuery workloads, CI/CD pipelines and enterprise monitoring tools to keep critical systems healthy and scalable.

Qualifications

• 4+ years of experience in development.
• Hands on with BigQuery & Dynatrace.
• Hands-on experience with Google Cloud Platform (GCP).
• Proficiency with monitoring/observability tools (Dynatrace, Datadog, New Relic).
• Familiarity with ITSM tools such as ServiceNow.

Responsibilities

• Collaborate with Infrastructure teams in implementing critical solutions by automating routine tasks.
• Monitor and manage production environments, proactively identifying and resolving issues.
• Participate in building advanced tooling for system access monitoring, log session recording, and administration of reliability across multiple geographically distributed data centers.
• Engage with engineering teams to improve on-call efficiency, drive incident management and post-mortem analysis.
• Perform capacity planning and optimization to support growing demand and traffic patterns.
• Maintaining, monitoring and alerting systems for proactive system health checks.
• Continuously improve system performance, stability, and security through data-driven analysis and optimization.
• Facilitate knowledge sharing by creating and maintaining comprehensive documentation & diagrams.

Education

Bachelor's Degree

Tools

BigQuery

Dynatrace

GCP

Monitoring tools

ServiceNow

Job description

Stefanini Group is hiring a Site Reliability Engineer for Dearborn, MI (Onsite). You will focus on ensuring availability, reliability and performance of cloud and network systems by automating routine tasks.

The role emphasizes observability, monitoring, and working hands-on with GCP data platforms, BigQuery workloads, CI/CD pipelines and enterprise monitoring tools to keep critical systems healthy and scalable.