Software Engineer III, Site Reliability Engineering
UK Visa Sponsorship Analytics
Occupation TypeProgrammers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700
(£28.05 per hour)
Occupation rate applies
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Description
Minimum qualifications:
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.
The ATS Matrix team is a unique SRE Product Group within the AI, Trust, and Security (ATS) SRE product area. Our mission is to proactively deliver risk assurance in Google's infrastructure and products through principled and innovative reliability engineering. We manage systemic security risks, from the network to the application layer, and research and mitigate emerging threats in areas like AI.
Responsibilities
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages.
- Master's degree in Computer Science or Engineering.
- 2 years of experience designing, analyzing, and troubleshooting large-scale distributed systems.
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.
The ATS Matrix team is a unique SRE Product Group within the AI, Trust, and Security (ATS) SRE product area. Our mission is to proactively deliver risk assurance in Google's infrastructure and products through principled and innovative reliability engineering. We manage systemic security risks, from the network to the application layer, and research and mitigate emerging threats in areas like AI.
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.