Senior Software Engineer, Site Reliability Engineering

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.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.

Poland: zł364000 - zł373000 (PLN) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Design, build, and operate software to enhance the availability, scalability, efficiency, security, and latency of Google Cloud's most critical Identity services, with a focus on supporting AI/ML workloads.

• Solve complex operational and reliability challenges through software engineering and automation.

• Develop deep technical expertise in areas such as large-scale distributed systems, authentication protocols, key management, and failure domain isolation.

• Participate in an on-call rotation to respond to, resolve, and prevent service incidents.

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems.