Senior Software Engineer, Site Reliability Engineering, Google Cloud

Google; London; On-site; GBP 60,000 - 110,000; Full time

Job summary

A leading company, Google, is seeking a Site Reliability Engineer to manage and enhance large-scale distributed systems. The role encompasses the full service lifecycle from design to deployment, focusing on optimization and automation while maintaining system health and performance. The ideal candidate will possess a strong technical background, problem-solving skills, and the ability to communicate effectively within a dynamic team environment.

Qualifications

• 5 years of experience with software development in programming languages.
• 3 years in designing and troubleshooting distributed systems.
• 2 years leading projects and providing technical leadership.

Responsibilities

• Engage in and improve the service lifecycle from inception to refinement.
• Support services before they go live through system design consulting.
• Maintain live services by measuring and monitoring availability.

Skills

Problem-solving

Communication

Project Management

Automation

Software Development

Education

Bachelor's degree in Computer Science or related field

Job description

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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 distributed systems, and 2 years of experience leading projects and providing technical leadership.

Preferred qualifications:

• Experience 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 communication skills.
• Excellent communication, project management and technical 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.

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.

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.