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Systems Engineer III, Site Reliability Engineering

Tel Aviv District, Israel (On-site)

Systems Engineer III, Site Reliability Engineering

2 Weeks ago • 2 Years + • DevOps • Undisclosed

About the job

7 skills required for this role

Add these skills to join the top 1% applicants for this job

java

javascript

cpp

algorithms

python

incident-response

networking

Job Description

This Systems Engineer III role in Site Reliability Engineering (SRE) at Google Cloud in Tel Aviv, Israel, focuses on building and operating large-scale, distributed, fault-tolerant systems. Responsibilities include improving service lifecycle from design to refinement, managing support services before launch (system design, software development, capacity planning), guiding team members on availability, performance, automation, and incident response. The role also involves maintaining live services, monitoring system health, scaling systems sustainably through automation, and driving improvements in reliability and velocity. The ideal candidate will possess strong software and systems engineering skills, experience with cloud environments, and expertise in large-scale system design.

Must have:

Bachelor's degree in CS or related field
2+ years experience with programming languages (Python, C++, Java, etc.)
2+ years experience with system administration or networking
Experience with managing global-scale production systems
Improve service lifecycle, manage support services, provide guidance to team members

Good to have:

Master's degree in Computer Science or Engineering
Experience architecting, developing, and troubleshooting systems
Experience designing, analyzing, and troubleshooting distributed systems

Minimum qualifications:

Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
2 years of experience working with one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
2 years of experience 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 Engineering.
Experience in managing and operating global-scale production systems in cloud environments.
Experience architecting, developing, and troubleshooting systems.
Experience designing, analyzing, and troubleshooting distributed systems.

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 diversity, 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.

Responsibilities

Improve the life-cycle of services from inception and design, through deployment, operation, and refinement.
Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
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 once they are live by measuring and monitoring availability, latency, and overall system health, and lead sustainable incident response.
Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.

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