{"title": "Software Engineer III, Site Reliability Engineering", "level": "Mid", "location": "Munich, Germany", "description": "Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services\u2014both our internally critical and our externally-visible systems\u2014have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE\u2019s will keep an ever-watchful eye on our systems capacity and performance. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you\u2019ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.", "key_qualifications": "Bachelor\u2019s degree in Computer Science, a related field, or equivalent practical experience. Candidates will typically have 2 years of experience with data structures/algorithms and software development in one or more programming languages.", "preferred_qualifications": "Experience working in computing, distributed systems, storage, or networking. Expertise in designing, analyzing, and troubleshooting large-scale distributed systems. Ability to debug, optimize code, and to automate routine tasks. Systematic problem-solving approach, coupled with effective verbal and written communication skills.", "responsibilities": "Write product or system development code. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.", "company": "google"}