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Software Engineer, Site Reliability Engineering

in 80331, München, Bayern, Deutschland
Unternehmen: Google
Vollzeit position
Verfasst am 2026-01-26
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Site Reliability Ingenieur/in, Cloud Computing, Systemingenieur
Stellenbeschreibung
Stellenbezeichnung: Staff Software Engineer, Site Reliability Engineering

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 SREs 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.

Responsibilities
  • Engage in and improve the whole life-cycle 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.
Minimum qualifications
  • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Go, Java, C, C++).
  • 4 years of experience designing, analyzing, and troubleshooting distributed systems.
  • 4 years of experience leading projects involving multiple teams.
Preferred qualifications
  • Experience working in computing, distributed systems, storage, or networking.
  • Experience in designing, analyzing, and troubleshooting large-scale distributed systems.
  • Ability to debug, optimize code, and to automate routine tasks.
  • Excellent problem-solving and verbal and written communication skills.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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