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:

5 years of experience in software engineering and machine learning.
Experience working in computing, distributed systems, storage, or networking.
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. Build and expand horizontal cloud monitoring coverage across Google Cloud Platform (GCP).

Opportunity to work on large-scale, massively distributed, fault-tolerant systems.
Culture of diversity, intellectual curiosity, problem solving, and openness.
Encouragement for collaboration, thinking big, and taking risks in a blame-free environment.
Support and mentorship for learning and growth.