Principal Database Kernel Developer

Intersystems - Cambridge, MA

Full-time - Mid Level

Cambridge, MA

11-50 employees

Professional, Scientific, and Technical Services

About the position

The InterSystems IRIS data platform is the engine behind some of the world's most important applications. At its core is a superscalable, high-performance database engine built to naturally and flexibly store data accessed from multiple data models, including multi-dimensional arrays, key/value, relational tables, and objects. The database engine runs on a variety of operating systems including Linux, AIX, and Windows. It's designed to scale on large NUMA machines, distributed cache clusters, and the cloud. The database kernel team needs a creative and motivated developer to join them in designing, implementing, and enhancing components of the database engine and its embedded programming language. As part of a small team at the center of the data platform, you can expect to make a large impact with a high degree of independence.

Responsibilities

• Compose elegant, efficient, reliable and maintainable source code in C, with some C++
• Analyze, develop and optimize algorithms and data structures for efficiency in memory and/or modern storage devices
• Analyze and understand concurrency control and memory ordering issues around access to shared memory structures
• Learn, maintain and extend the embedded database programming language (ObjectScript) that comprises the application interface to the database
• Enhance interactions with modern operating systems and hardware devices
• Develop and maintain database management APIs
• Debug complex problems; develop and run test code
• Compose internal design documentation and guide external documentation
• Stay up-to-date with operating system, storage and database technology

Requirements

• 6+ years developing low-level system code for mission-critical software
• Experience in C or C++; assembly is a plus
• Strong technical knowledge of computer architecture, operating systems, concurrency control, compiler and interpreter methods, and software engineering techniques
• Excellent communication and collaboration skills
• Commitment to creating robust code to run for decades in high-stakes deployments
• Bachelor's degree in Computer Science, Software Engineering, or a related field