Software Engineer, Cloud AI Platform, Site Reliability Engineering

Minimum qualifications:

• 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.

Preferred qualifications:

• Master's degree in Computer Science, Engineering, or a related field.

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

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.

In this role, you will play a pivotal role in accelerating AI adoption and enhancing observability within SRE operations. You will be at the forefront of designing, building and maintaining the core infrastructure and tools that empower SRE teams to leverage the power of AI and gain insights into system behaviour.

Responsibilities

• Develop base APIs for essential AI functionalities (similarity, clustering, RAG) across various data sources. Collaborate with SRE teams to design, implement, and evaluate AI features, ensuring their quality and effectiveness.

• Develop AI features like incident-support case matcher, similarity search, bug analyzer, to improve engineering efficiency and customer satisfaction.

• Implement production cohorting and regression attribution capabilities to enable insights into production workloads and targeted issue detection. Build and expand horizontal cloud monitoring Google cloud platform (GCP) products.

• Develop AI features for real-time suggestions, root cause analysis, and escalation decisions. Build AI-powered insights to identify operational trends and toil areas.

• Provide feedback and evaluation systems used to continuously improve the quality of AI features in SRE. Expand horizontal cloud monitoring coverage and leverage AI for proactive incident detection.

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.