Software Engineer, Atlas Distributed Systems

1 нед. назад

USASenior

distributed systemscloudkubernetesoraclessdhdds3

Develop and design cutting-edge distributed systems for 's Atlas data platform, focusing on scalable, fault-tolerant storage solutions.

Будет плюсом

Experience with storage solutions or data protection is a huge plus
Experience with nuances public cloud features and costs (like compute, storage, networking, data services) on public clouds (AWS, Azure, GCP)

Другое

Atlas is the core data path for all products, whether in the data center, at the edge, or in the cloud. It is a distributed, scale-out, fault tolerant, performant, deduplicated user-space filesystem that uniquely combines block device (ext4/NFS/SMB) and S3 backend storage interfaces. It has been the cornerstone of ’s innovative tech stack since Day 1.
Since inception this team has attracted some of our strongest technical talent with a very high bar for quality and velocity. We are looking for motivated engineers, who can complement this rockstar team!
 
is expanding at a rapid pace in all directions, from supporting various applications (like Kubernetes, Oracle, EC2, and RDS protection) to hardware storage platforms (like SSD, HDD, S3, Azure Blob, and EBS), to revolutionizing cloud protection (such as SaaS protection, data security, and immutability). At the heart of this transformation is our Atlas platform. We are looking for an experienced distributed systems engineer to guide us through the next stage of the evolution of our data platform.
As an engineer in the team, you’ll design, develop and deliver cutting-edge solutions for the tectonic shifts mentioned above. You will be responsible for outlining the architectural principles we should build towards, prototyping changes, and working with the team to realize the vision in a production-quality system. Your technical direction will also impact multiple teams across , as we will need to guide them on how to best build on top of Atlas.
There will be a wide range of features to work on, including cloud storage-backed file systems with effective cost analysis, building data formats optimized for read and write performance for all workloads, deduplication and compression, reliability, resiliency, infinite scalability, performance tooling using eBPF, asynchronous programming, various read-ahead techniques, snapshotting, data integrity, data security, data immutability in the cloud, and many more.
This opportunity provides a potent mix of dynamism, fast startup-like culture, serious technical challenges, and influence across many teams and leaders. If all this sounds interesting, or if you want to know more, please reach out.
 
Bachelor’s and/or Master’s degree in Computer Science or equivalent
3+ years of experience in Distributed File System
Strong fundamentals in distributed systems design and development
Experience in building systems at scale and backend development
Hands on with the code and have hands-on coding skills in C++
 
(RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. 
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