Senior Networking Systems Engineer, Site Reliability Engineering
AI Summary ✨
Requirements:
Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
5 years of experience in Networking Engineering: Networking Protocols, Networking Troubleshooting, Network Monitoring.
3 years of experience designing, analyzing, and troubleshooting distributed systems and working with administration (e.g., filesystems, inodes, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, SDN).
2 years of experience leading projects and providing technical leadership.
Nice to haves:
Master's degree in Computer Science or Engineering, or a related field.
CCNA (Cisco Certified Network Associate).
Experience architecting and developing software or infrastructure for scalable, high performance, distributed systems.
Experience with vendor routing platforms like Cisco, Juniper, or Arista and their architectures.
Experience in network protocols and innovative large-scale networking architectures.
What you'll be doing:
Improve the whole lifecycle 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 once they are live by measuring and monitoring availability, latency, and overall system health. Lead sustainable global networking incident response and blameless postmortems.
Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
Improve visibility into the network performance, availability and traffic patterns, and publish critical information for engineering analysis and programs.
Perks and benefits:
Site Reliability Engineering (SRE) role at Google in Dublin, Ireland.
Opportunity to work on large-scale, massively distributed, fault-tolerant systems.
Work on optimizing existing systems, building infrastructure, and automation.
Culture of diversity, intellectual curiosity, problem solving, and openness.
Encouragement to collaborate, think big, and take risks in a blame-free environment.