Requirements

Bachelor’s degree in Computer Science, or a related field, or equivalent practical experience
5 years of experience with software development in one or more programming languages
5 years of experience with data structures or algorithms
3 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems, and 2 years of experience leading projects and providing technical leadership

Nice to haves

Experience working in computing, distributed systems, storage, or networking
5 years of experience in software engineering and machine learning
Experience in designing, analyzing, and troubleshooting large-scale distributed systems
Ability to use a systematic problem-solving approach, with excellent verbal and written communication skills

Engage in and improve the whole lifecycle of services, from inception and design, through to deployment, operation and refinement
Lead the forefront of design, build and maintain the core infrastructure and tools that empower SRE teams to leverage the power of AI and gain insights into system behaviour
Develop APIs for essential AI functionalities across diverse data sources. Collaborate with SRE teams to design, implement, and evaluate AI features, ensuring their quality
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. Building and expanding horizontal cloud monitoring coverage across Google Cloud Platform (GCP)

Google is an equal opportunity and affirmative action employer
Opportunity to work on meaningful projects with support and mentorship to learn and grow
Fosters a culture of diversity, problem-solving, intellectual curiosity, and openness