Senior Software Engineer, Site Reliability Engineering, Data Cloud

Google is a global technology company that builds and maintains large-scale distributed systems and cloud infrastructure.
Site Reliability
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

Description For Senior Software Engineer, Site Reliability Engineering, Data Cloud

Google is seeking a Senior Site Reliability Engineer to join their Data Cloud team, focusing on building and maintaining large-scale distributed systems. This role combines software and systems engineering expertise to ensure Google Cloud's services maintain optimal reliability and performance.

The position offers a unique opportunity to work at the intersection of Site Reliability Engineering and AI, where you'll be responsible for developing and maintaining core infrastructure that empowers SRE teams to leverage artificial intelligence. You'll be working on sophisticated systems that handle massive scale, requiring expertise in distributed systems, data structures, and algorithms.

As a Senior SRE, you'll lead projects that involve designing and implementing AI-powered features to improve engineering efficiency and customer satisfaction. This includes developing APIs for AI functionalities, creating incident-support systems, and implementing production monitoring capabilities across Google Cloud Platform.

The role requires a strong background in software development, with at least 5 years of experience in programming and algorithms. You'll need demonstrated expertise in designing and troubleshooting large-scale distributed systems, along with leadership experience in driving technical projects.

Google's SRE culture emphasizes diversity, intellectual curiosity, and problem-solving in a blame-free environment. You'll be part of a team that encourages collaboration, big-picture thinking, and risk-taking, while providing the support and mentorship needed for professional growth.

The position is based in Warsaw, Poland, where you'll work with global teams to maintain and improve Google's technical infrastructure. You'll be at the forefront of ensuring that Google's services meet customer needs for reliability and performance, while continuously driving improvements through automation and optimization.

This role offers the opportunity to work on meaningful projects that directly impact Google's product portfolio, making it an ideal position for someone who wants to combine software engineering expertise with systems engineering at a massive scale.

Last updated 20 minutes ago

Responsibilities For Senior Software Engineer, Site Reliability Engineering, Data Cloud

  • 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
  • Develop Application programming interface (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
  • Implement production cohorting and regression attribution capabilities
  • Build and expand horizontal cloud monitoring coverage across Google Cloud Platform (GCP)

Requirements For Senior Software Engineer, Site Reliability Engineering, Data Cloud

Python
Java
Go
Kubernetes
  • 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
  • 2 years of experience leading projects and providing technical leadership
  • Experience in software engineering and machine learning (preferred)
  • Experience working in computing, distributed systems, storage, or networking (preferred)
  • Ability to use a systematic problem-solving approach, with excellent communication skills (preferred)

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