Site Reliability Engineer II

REMOTE 

Full Time

Overview / Summary

We are seeking a Site Reliability Engineer to join an SRE team focused on observability, monitoring, and technical consulting across Google Cloud Platform-based data platforms. This role is responsible for ensuring the availability, reliability, and performance of cloud and network systems and services through automation, monitoring, troubleshooting, and continuous optimization.

Key Responsibilities

• Collaborate with infrastructure teams to implement 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 reliability administration across multiple geographically distributed data centers.
• Engage with engineering teams to improve on-call efficiencies, incident management, and post-mortem analysis.
• Perform capacity planning and optimization to support growing demands and traffic patterns.
• Maintain monitoring and alerting systems for proactive system health checks.
• Continuously improve system performance, stability, and security through data-driven analysis and optimization.
• Create and maintain comprehensive documentation and diagrams to facilitate knowledge sharing.
• Work hands-on with cloud infrastructure, BigQuery workloads, CI/CD pipelines, and enterprise monitoring tools to maintain critical systems at scale.

Required Qualifications

• Bachelor's degree.
• 4+ years of experience in IT.
• 3+ years of development experience.
• Practitioner-level experience with at least one coding language or framework.
• Hands-on experience with Google Cloud Platform (Google Cloud Platform).
• Experience with BigQuery.
• Experience with Dynatrace.
• Proficiency with monitoring and observability tools, ideally Dynatrace or comparable tools such as Datadog or New Relic.
• Familiarity with ITSM tools such as ServiceNow, including incident, problem, and change management.

Preferred Qualifications

• Experience with Google Cloud Platform Cloud Run.
• Experience with Python.
• Strong troubleshooting and problem-solving skills.
• Familiarity with AI tools, including agents, skills, LLMs, and copilots.
• Experience defining and tracking SLAs, SLOs, and SLIs.