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Large-scale distributed systems engineer role

Dublin
beBee Careers
Systems engineer
Posted: 15 June
Offer description

Large-Scale Distributed Systems Engineer Role

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* Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
* 8 years of experience with data structures or algorithms.
* 5 years of experience with software development in one or more programming languages.
* 3 years of people management experience, and experience designing, analyzing, and troubleshooting distributed systems.

Key Responsibilities

* Lead a team of Software/Systems Engineers on projects for users and be 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.
* 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 services.

About This Opportunity

This role offers the chance to work with large-scale distributed systems, combine software and systems engineering to build and run massively distributed, fault-tolerant systems. You will ensure that services have reliability, uptime appropriate to users' needs and a fast rate of improvement.

You will be part of an organization that brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage collaboration, 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.

Run and defend the durability, integrity, and efficiency of planet-scale storage fleet. Namespaces SRE supports cluster-level filesystems, as well as services supporting a global namespace with data replication between clusters. These services underpin nearly every product area and are a mission critical area for Google and its Cloud and Artificial Intelligence (AI)/Machine Learning (ML) strategies.

What We Offer

We offer an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

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