J

Senior Low-Level Software Engineer for Xet Storage

Jobgether • United Kingdom
Remote
This Job is No Longer Active This position is no longer accepting applications

Design, develop, and maintain high-performance storage systems and backend infrastructure. Contribute to open-source projects and scalable backend services. Work on large-scale infrastructure supporting global AI and machine learning communities.

Key Highlights
Design, develop, and maintain high-performance storage systems and backend infrastructure
Contribute to open-source projects and scalable backend services
Work on large-scale infrastructure supporting global AI and machine learning communities
Key Responsibilities
Design, develop, and maintain high-performance storage systems and backend infrastructure
Build and improve low-level systems software supporting large-scale data storage and retrieval
Contribute to open-source projects written in Rust and other technologies powering AI development workflows
Develop meaningful features within storage architecture, focusing on scalability, reliability, and performance
Solve complex engineering challenges related to distributed systems, data management, and infrastructure operations
Operate production systems by improving monitoring, observability, reliability, and fault tolerance
Investigate and resolve complex technical issues through debugging and distributed system analysis
Collaborate with infrastructure, engineering, and product teams to deliver robust technical solutions
Take ownership of projects from technical design through implementation, deployment, and optimization
Technical Skills Required
Rust Low-level programming Distributed systems development
Benefits & Perks
Fully remote work environment with flexible working hours
Opportunity to work on large-scale infrastructure supporting global AI and machine learning communities
Competitive compensation package including employee equity opportunities
Nice to Have
Experience designing efficient storage systems, data retrieval platforms, or large-scale infrastructure
Experience operating production systems, including monitoring, alerting, debugging, and recovery processes
Familiarity with Git internals, cloud platforms such as AWS, Azure, or GCP
Experience with Kubernetes, databases, networking technologies, or infrastructure automation
Knowledge of additional programming languages such as Python, TypeScript, Go, or C++

Job Description

This role offers the opportunity to build and operate large-scale storage infrastructure powering some of the most important AI and machine learning assets worldwide.You will work on high-performance systems software, contributing to open-source technologies and scalable backend services.The position combines low-level engineering expertise, distributed systems development, and ownership of critical infrastructure.You will design solutions that support massive-scale data storage, retrieval, and reliability for a global AI ecosystem.Working within a remote and highly autonomous environment, you will collaborate with talented engineers to solve complex technical challenges.
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