JOIN US AS A C++ STORAGE ENGINEER TO BUILD HIGH-PERFORMANCE, SCALABLE STORAGE SYSTEMS. DRIVE INNOVATION IN PARALLEL STORAGE, OPTIMIZE ALGORITHMS, AND SHAPE THE FUTURE OF DATA INFRASTRUCTURE.

Exasol’s Analytics Engine accelerates insights from the world’s data. It is purpose-built to handle the most demanding data workloads at an unmatched price/performance ratio. Our in-memory, massively parallel processing (MPP) technology is specifically designed for analytics, enabling businesses to turn data into actionable insights.
At Exasol, we are committed to pushing the boundaries of what is possible in data analytics, and we are looking for enthusiastic individuals to join our team and help shape the future of data technology. Join our diverse, remote-first team where more than 30+ languages (and counting!) are spoken, and every voice is valued. We are looking for passionate individuals who thrive on collaboration, innovation, and a shared commitment to help shape the future of data technology.

OVERVIEW

We are seeking a C++ Storage Engineer that will be at the forefront of innovation, working hands-on with our cutting-edge parallel storage solution. You will design and implement advanced algorithms, collaborate with cross-functional teams to integrate storage functionality, and stay abreast of the latest industry developments. Your expertise in C++, parallel storage technologies, and cloud platforms will be crucial in advancing our storage solutions to new heights.

REQUIRED QUALIFICATIONS

• A degree in Computer Science or a related field, or equivalent experience.
• 5-7 years of relevant experience in software development, with a focus on storage systems, including experience in building robust, complex software products within a Massively Parallel Processing (MPP) environment.
• Strong proficiency in modern C++ programming with a focus on performance optimization.
• Familiarity with scripting languages such as Bash and Python for automation and streamlining tasks.
• Solid understanding of Linux environments.
• Knowledge of parallel storage technologies like HDFS, GlusterFS, Ceph, and RAID algorithms.
• Familiarity with public cloud storage solutions across AWS, Azure, and GCP.
• Proven expertise in creating efficient and distributed algorithms.
• An analytical and structured approach to problem-solving, coupled with a commitment to high-quality code.
• Approach challenges with a methodical and logical mindset.
• Maintain a strong focus on delivering high-quality code and solutions.
• Working proficiency in English.

• Further develop our massively parallel storage solution, ensuring it scales effectively to meet ever-growing data demands while maintaining peak efficiency.
• Design and implement intricate algorithms that optimize data management, storage, and retrieval processes, ensuring consistent high performance.
• Partner closely with other development teams to guarantee the smooth integration of storage-related functionalities, creating a unified and powerful system.
• Leverage your experience of parallel storage technologies to provide valuable insights and drive innovation in our storage solution.
• Stay informed on storage technology advancements, continuously learning and exploring new approaches to enhance our solutions.
• Rigorously test, debug, and refine the codebase to ensure maximum stability and reliability of our storage solutions.