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XIn most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Munich, Germany; Zürich, Switzerland.Minimum qualifications:
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages.
- 3 years of experience leading projects.
- 3 years of experience designing, analyzing, and troubleshooting distributed systems.
Preferred qualifications:
- Experience working in computing, distributed systems, storage, or networking.
- Experience effectively, efficiently, and responsibly applying AI tooling and workflows to engineering practices.
- 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.
About the job
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—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s 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’ll 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 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.
Google Cloud Site Reliability Engineering (SRE) owns the reliability of the end-to-end pipelines that crawl, fetch, and index the web for Google. Following the recent consolidation of our Crawl, Document, and Analysis (CDA) and Data Indexing SRE teams, we are positioned as a single organization to own the end-to-end journey. We are at the starting point of Google’s data lifecycle, making sure the world’s web data is reliably ingested and organized to power our core products from Search, to YouTube, to our key AI initiatives and products.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Germany: €156000 - €159000 (EUR) + 20% bonus target + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation, and refinement.
- Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
- Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Practice sustainable incident response and blameless postmortems.
