Senior Systems Engineer, Cloud Filestore, Site Reliability Engineering

1 Month ago • 5 Years + • DevOps • Backend Development

Job Summary

Job Description

This Senior Systems Engineer role within Google Cloud's Site Reliability Engineering (SRE) team focuses on Cloud Filestore. Responsibilities include improving the service lifecycle (design, deployment, operation, refinement), guiding team members on availability and performance, building automation to prevent problems, and leading incident response and postmortems. The role requires scaling systems sustainably, managing support services, and collaborating on system design, software platforms, capacity planning, and launch reviews. The ideal candidate will have strong experience with programming languages, distributed systems, and a proven track record of project leadership.
Must have:
  • Bachelor's degree in CS or related field
  • 5+ years programming experience
  • 2+ years project leadership experience
  • Experience with distributed systems
  • Excellent problem-solving skills
Good to have:
  • Experience with Java, C, C++, Go, Python, Shell, Perl, JavaScript
  • Experience in computing, distributed systems, storage, or networking

Job Details

Minimum qualifications:

  • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience with programming in one or more programming languages.
  • 2 years of experience leading projects.

Preferred qualifications:

  • Experience with managing hosted services/SaaS including one or more of the following programming/scripting languages: Java, C, C++, Go, Python, shell, Perl, JavaScript.
  • Experience working in computing, distributed systems, storage, or networking.
  • Excellent ability in designing, analyzing, and troubleshooting distributed systems.
  • Excellent problem-solving approach, with effective communication skills.

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 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 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.

Responsibilities

  • Improve the whole life-cycle of services from inception and design, through deployment, operation, and refinement.
  • Provide guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
  • Maintain services by measuring and monitoring availability, latency, and overall system health. Lead incident response and blameless postmortems.
  • Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.
  • Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.

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