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Google

Staff Software Developer, Applied AI, Site Reliability Development

Waterloo, ON, Canada

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

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.
3 years of experience leading projects.
3 years of experience designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications:

Master's degree in Computer Science or 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 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.

Canada: $216000 - $221000 (CAD) + 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.

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More about this job

Responsibilities

Manage the full lifecycle of services from design and deployment to operation and refinement. Maintain system health through monitoring, capacity planning, and sustainable incident response.

Requirements

Requires a bachelor's degree in Computer Science or a related field and at least 8 years of software development experience. Candidates must have 3 years of experience in project leadership and distributed systems design.

Skills

Software Development
Distributed Systems
Site Reliability Engineering
Capacity Planning
Automation
System Design
Algorithms
Complexity Analysis
Latency Monitoring
Incident Response
Infrastructure Development
Cloud Services
Performance Tuning
Fault-tolerant Systems

Benefits

Bonus
Equity

Visa sponsorship

Not detected in the job text

Keywords

Software Development
Applied AI
Site Reliability Engineering
Distributed Systems
Google Cloud
Automation
Capacity Planning
System Design
Algorithms
Complexity Analysis
Latency
Availability
Incident Response
Postmortems
Infrastructure
Data Centers
Technical Infrastructure
Fault-tolerant

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