12 days ago

Systems Engineering Manager, Site Reliability Engineering, ML Compute

London, United KingdomFull-timeOn-siteMid · 5+ yearsEngineering Manager

What you'll do

Lead a team of software/systems engineers on projects for users and be directly responsible for uptime.
Own end-to-end availability and performance of key services and build automation to prevent problem recurrence. Automate response to all non-exceptional service conditions.
Lead by example, mentor the team and establish credibility through quality technical execution.
Manage on-call rotations across continents, using a follow-the-sun model.
Design, write and deliver software to improve the availability, scalability, latency and efficiency of Google's services.

What they're looking for

Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
5 years of experience with programming in one or more programming languages.
3 years of people management experience.
3 years of experience leading projects and working with administration (e.g., filesystems, inodes, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, SDN).

Nice to have

Master's degree in Computer Science or related technical field involving coding (e.g., physics or mathematics).
Track record of mentoring technical leads.
Proven success leading and influencing multiple technical teams.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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 Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.

The ML Compute SRE team mission is to deliver a ML compute infrastructure for all users. We ensure that all ML accelerators (TPUs and GPUs) are fully and appropriately supported as part of the TI and Cloud Compute platforms and that all ML jobs run efficiently, safely and reliably. We support both the hardware and the low level services that provide ML as an IaaS.

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:

Lead a team of software/systems engineers on projects for users and be directly responsible for uptime.
Own end-to-end availability and performance of key services and build automation to prevent problem recurrence. Automate response to all non-exceptional service conditions.
Lead by example, mentor the team and establish credibility through quality technical execution.
Manage on-call rotations across continents, using a follow-the-sun model.
Design, write and deliver software to improve the availability, scalability, latency and efficiency of Google's services.

Minimum qualifications:

Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
5 years of experience with programming in one or more programming languages.
3 years of people management experience.
3 years of experience leading projects and working with administration (e.g., filesystems, inodes, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, SDN).

Preferred qualifications:

Master's degree in Computer Science or related technical field involving coding (e.g., physics or mathematics).
Track record of mentoring technical leads.
Proven success leading and influencing multiple technical teams.

SaaS

Company

GoogleSaaS

London, United Kingdom

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