Software Engineer

Company Description PLOMID is an AI-native universal database platform built to support operational, analytical, AI, and edge workloads within a single logical database. It offers one primary SQL language and multiple specialized physical engines, unifying OLTP, OLAP, HTAP, vector, search, graph, time-series, spatial, streaming, edge/offline, and global multi-region capabilities in one coherent data layer. The platform is built from first principles with a fully owned kernel, emphasizing performance, reliability, and flexibility. Designed for humans, software, and AI agents, PLOMID can be deployed from embedded and edge environments to large-scale global infrastructure, serving as the data foundation for the next generation of software.
Role Description This is a full-time remote role for a Software Engineer at PLOMID. The Software Engineer will design, implement, test, and maintain core components of the database platform and supporting services. Day-to-day tasks include developing back-end features, optimizing performance across different data engines, writing clean and maintainable code, and participating in code reviews. The role also involves collaborating with product and infrastructure teams to deliver scalable solutions, troubleshooting production issues, and contributing to technical documentation and architecture discussions.
Qualifications
Strong foundation in Computer Science, including data structures, algorithms, and systems concepts.
Experience in Software Development and Programming, with proficiency in at least one modern language (e.g., Go, Rust, C++, Java, or similar).
Knowledge of Back-End Web Development, including APIs, microservices, and distributed systems.
Practical experience with Object-Oriented Programming (OOP) and software design principles.
Familiarity with databases, query optimization, and data-intensive applications; exposure to SQL and multiple data models is beneficial.
Ability to work effectively in a remote environment, including strong communication, collaboration, and self-management skills.
Bachelor’s or higher degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Experience with cloud infrastructure, containerization, CI/CD, or observability tools is a plus.

Work arrangement
Yes