Site Reliability Engineer, Databases

2 Days ago • 2-4 Years • Backend Development • DevOps

Job Summary

Job Description

This Site Reliability Engineering (SRE) role for Databases at Google in Bengaluru, India, combines software and systems engineering to build and run large-scale, fault-tolerant systems. Responsibilities include product/tool development supporting software and infrastructure, designing and reviewing service architectures, capacity planning, performance analysis, system tuning, and managing service availability, latency, scalability, and efficiency. The SRE will also respond to and resolve service problems, building automation to prevent recurrence. The ideal candidate has experience in data structures, algorithms, software development (Python, C++, Java preferred), distributed systems, cloud computing, and databases. A strong understanding of incident management and coding is essential.
Must have:
  • Bachelor's degree in CS or related field
  • 2+ years experience with data structures/algorithms
  • Software development experience (Python, C++, Java)
  • Experience in distributed systems, cloud computing, and databases
  • Incident management and coding skills
  • Manage availability, latency, scalability, and efficiency
Good to have:
  • 4+ years experience with data structures/algorithms
  • Experience with C or Go
  • System tuning and performance analysis expertise

Job Details

Minimum qualifications:

  • Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
  • 2 years of experience with data structures/algorithms and software development in one or more programming languages (e.g., Python, C++, Java).

Preferred qualifications:

  • 4 years of experience with data structures/algorithms and software development in one or more programming languages (e.g., C, C++, Java, Python or Go).
  • Experience in analyzing and troubleshooting distributed systems, cloud computing, and databases, Incident Management, Coding.

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's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' 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, 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.

To learn more: check out our books on or read a about why a Software Engineer chose to join SRE.

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.

Responsibilities

  • Work on product/tool development supporting software and infrastructure tools.
  • Create, influence and review ongoing design, architecture, standards and methods for services and systems. Participate in service capacity planning, software performance analysis and system tuning.
  • Manage availability, latency, scalability and efficiency of Google services by engineering reliability into software and systems.
  • Respond to and resolve emergent service problems; write software and build automation to prevent problem recurrence.

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