Site Reliability Engineer (SRE)

Employment Type: Full-time

Position Overview

Join General Motors' Site Reliability Engineering (SRE) team as an Individual Contributor (IC) focused on enhancing the reliability, efficiency, and scalability of our distributed systems. We leverage engineering principles to manage operations effectively and build solutions that enable growth without sacrificing performance or quality. As an SRE, you will work closely with software development teams, acting as a specialist in reliability and production engineering, with a focus on automation, observability, and shared responsibility. We are seeking passionate individuals to maintain the health of our infrastructure while optimizing for reliability and cost-efficiency. This role requires a blend of software engineering and systems engineering skills to keep our services resilient, robust, and scalable.

Remote Work Policy

This is a remote position. However, if you live within 50 miles of a designated reporting location, you are expected to come into the office three times a week. If you do not live within 50 miles of any designated location, you are not required to report in.

Key Responsibilities

• Automation and Reliability Improvements: Develop tools and software to automate operational processes, improve system reliability, and reduce manual intervention.
• Observability and Monitoring: Lead, implement, and improve monitoring and observability frameworks, enabling proactive detection and resolution of incidents.
• Incident Response: Participate in an on-call rotation to diagnose, troubleshoot, and mitigate production incidents, ensuring minimal downtime and swift resolution.
• Collaboration with Development Teams: Work alongside developers to ensure the quality, scalability, and reliability of our services. Practice shared ownership of services in production, fostering a "You build it, you run it" culture.
• Service Level Management: Manage Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to manage reliability expectations effectively.
• Engineering for Reliability: Apply strong understanding of common application reliability patterns with hands-on experience implementing them.
• Failure Analysis and Post-Incident Reviews: Conduct deep-dive analyses of incidents and collaborate on post-incident reviews to derive learnings and prevent recurrence. Champion a culture of continuous improvement.
• Cost Efficiency: Evaluate system performance and advocate for optimizations that reduce infrastructure costs while maintaining service reliability.

Required Qualifications

• Programming Skills: Proficiency in at least one programming language (e.g., Python, Go, Java) and familiarity with multiple language ecosystems.
• Systems Knowledge: Solid understanding of operating systems, networking, distributed systems, databases, and storage architectures.
• System Fundamentals: Deep understanding of how code runs on underlying hardware, including operating systems, algorithms, and data structures.