Site Reliability Engineer (SRE) Interview Topic Categories
Ensures system reliability, performance, and availability through a combination of software engineering and systems administration practices. They focus on building scalable and reliable distributed systems while maintaining high availability and performance standards. Responsibilities include implementing monitoring and alerting systems, automating operational tasks and incident response, conducting performance optimization and capacity planning, managing system deployments and rollbacks, and defining service level objectives (SLOs) and error budgets. They work with monitoring tools, automation frameworks, container orchestration platforms, and various programming languages. Daily tasks involve monitoring system health, responding to incidents, implementing automation solutions, conducting post-incident reviews, optimizing system performance, and collaborating with development teams to improve system reliability.
Categories
Systems Architecture & Distributed Systems
Large-scale distributed system design, service architecture, microservices patterns, global distribution strategies, scalability, and fault tolerance at the service/application layer. Covers microservices decomposition, caching strategies, API design, eventual consistency, multi-region systems, and architectural resilience patterns. Excludes storage and database optimization (see Database Engineering & Data Systems), data pipeline infrastructure (see Data Engineering & Analytics Infrastructure), and infrastructure platform design (see Cloud & Infrastructure).
Cloud & Infrastructure
Cloud platform services, infrastructure architecture, Infrastructure as Code, environment provisioning, and infrastructure operations. Covers cloud service selection, infrastructure provisioning patterns, container orchestration (Kubernetes), multi-cloud and hybrid architectures, infrastructure cost optimization, and cloud platform operations. For CI/CD pipeline and deployment automation, see DevOps & Release Engineering. For cloud security implementation, see Security Engineering & Operations. For data infrastructure design, see Data Engineering & Analytics Infrastructure.
Technical Fundamentals & Core Skills
Core technical concepts including algorithms, data structures, statistics, cryptography, and hardware-software integration. Covers foundational knowledge required for technical roles and advanced technical depth.
Testing, Quality & Reliability
Quality assurance, testing methodologies, test automation, and reliability engineering. Includes QA frameworks, accessibility testing, quality metrics, and incident response from a reliability/engineering perspective. Covers testing strategies, risk-based testing, test case development, UAT, and quality transformations. Excludes operational incident management at scale (see 'Enterprise Operations & Incident Management').
Leadership & Team Development
Leadership practices, team coaching, mentorship, and professional development. Covers coaching skills, leadership philosophy, and continuous learning.
Enterprise Operations & Incident Management
Large-scale operational practices for enterprise systems including major incident response, crisis leadership, enterprise-scale troubleshooting, business continuity planning, and recovery. Covers coordination across teams during high-severity incidents, forensic investigation, decision-making under pressure, post-incident processes, and resilience architecture. Distinct from Security & Compliance in its focus on operational coordination and recovery rather than preventive security.
Communication, Influence & Collaboration
Communication skills, stakeholder management, negotiation, and influence. Covers cross-functional collaboration, conflict resolution, and persuasion.
Career Development & Growth Mindset
Career progression, professional development, and personal growth. Covers skill development, early career success, and continuous learning.
Programming Languages & Core Development
Programming languages, development fundamentals, coding concepts, and core data structures. Includes syntax, algorithms, memory management at a programming level, asynchronous patterns, and concurrency primitives. Also covers core data manipulation concepts like hashing, collections, error handling, and DOM manipulation for web development. Excludes tool-specific proficiency (see 'Tools, Frameworks & Implementation Proficiency').
Professional Presence & Personal Development
Behavioral and professional development topics including executive presence, credibility building, personal resilience, continuous learning, and professional evolution. Covers how candidates present themselves, build trust with stakeholders, handle setbacks, demonstrate passion, and continuously evolve their leadership and technical approach. Includes media relations, thought leadership, personal branding, and self-awareness/reflective practice.