
Organizing the world's information and making it universally accessible.
Systems Development Engineer, Silicon
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Troubleshoot technical issues, evaluate data, and develop recommendations for systems and services within domain, respond to tickets within team-defined SLOs, and contribute to systems and services in related domains through bug reports and consultation.
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Participate in limited on-call rotation and monitoring of production distributed computing infrastructure.
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Manage the GCP project environment and VM provisioning service, ensure workstation health through Terraform debugging and adherence to established turn-up playbooks, work with customers on defining distributed systems requirements, testing procedures, proposing solutions.
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Implement proactive monitoring, canary update processes, and fleet-wide safeguards to prevent systemic failures and accidental destructive actions across the infrastructure. Provide technical troubleshooting for cloud workstations, resolve issues with access, CLI, Puppet configurations, mounts (NFS/Filestore), and disk limitations.
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Scale systems sustainably through mechanisms like automation. Evolve systems by pushing for changes that improve reliability/ velocity.
Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.
Google 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.
Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.
In this role, you will be a part of the Emulation Operations team working closely with EDACloud, Chipdev, and Emulation Engineering teams.
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.
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Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
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3 years of experience with Linux operating systems internals and administration, technical infrastructure (e.g., deployment, maintenance, troubleshooting), and with reliability of technical infrastructure.
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3 years of experience with one or more programming, or scripting languages (Go, Python).
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3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).
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Experience in managing infrastructure and servers through virtualization, automation and deployments, configuration management, networking and security.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Mid/L4
Mid/L4 · Accessibility Analyst
1 reports
$214,500
total per year
Base
$165,000
Stock
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Bonus
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$214,500
$214,500
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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