Opis stanowiska

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 diversity, 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.

- 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).

Podstawowe kwalifikacje

- 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.

Preferowane kwalifikacje

- 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.

Zakres obowiązków

- 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).