This position is listed on behalf of a partner company who manages all applications and next steps. Our partner is looking for a Low-level Senior Software Engineer Xet Storage based in Germany. 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.This is an ideal opportunity for an experienced systems engineer passionate about performance scalability and impactful open-source technology. ➡ Accountabilities ➡ You will contribute to the design development and operation of advanced storage systems while helping build reliable infrastructure at global scale. Your main responsibilities will include 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. Design solutions that support massive volumes of machine learning models datasets and digital assets. 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. Work effectively in an asynchronous remote environment with a high degree of autonomy. Continuously improve engineering practices and contribute technical knowledge to the wider community. Requirements The ideal candidate is an experienced systems engineer with a strong background in distributed infrastructure low-level programming and scalable production systems. The required qualifications and skills include 8+ years of experience building and scaling distributed systems storage platforms or networking infrastructure. Strong proficiency in a low-level programming language with Rust experience strongly preferred. Experience with systems programming and designing reliable high-performance software. Proven ability to independently own complex technical projects in a high-trust low-process environment. Experience working with large-scale production systems and solving complex infrastructure challenges. Strong understanding of distributed architectures reliability performance optimization and fault tolerance. Comfortable working in a fast-paced asynchronous and fully remote environment. Passion for building simple robust and scalable systems used by engineering and research communities. Strong problem-solving skills and ability to navigate technical ambiguity. Additional experience that would be considered an advantage 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++. Benefits 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. Health dental and vision benefits for employees and dependents. Flexible paid time off and parental leave. Support for professional development through conferences training and educational opportunities. Access to a global distributed team of highly skilled engineers and AI professionals. Opportunity to visit international office locations when needed. Home office support and equipment to help you succeed remotely. Inclusive and collaborative culture focused on innovation impact and continuous learning. Opportunity to contribute to open-source projects and advance the AI ecosystem. ➡ How Jobgether works We use an AI-powered matching process to ensure your application is reviewed quickly objectively and fairly against the role's core requirements. Our system identifies the top-fitting candidates and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice By submitting your application you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access rectification erasure objection) at any time. #LI-CL1