What are the responsibilities and job description for the Performance engineer position at Mantis AI?
Company Description
Mantis AI is a cutting-edge platform that specializes in multi-modal data integration and interactive analytics, empowering users to analyze diverse large-scale datasets across various industries. Leveraging a hybrid architecture, Mantis integrates multiple data types into a unified latent space for seamless cross-modal queries and dynamic exploration. The platform’s notable features include cognitive cartography visualization, retrieval-augmented generation (RAG) for context-aware querying, and advanced AI capabilities like Agentic Workflows and automated communications. With tools for real-time clustering and low-latency distributed search, Mantis enables scalability and efficiency, making it suitable for analyzing datasets with tens of millions of data points. Based on innovation and scalability, Mantis continues to support professionals in achieving insights and enhancing productivity.
Role Description
This is a full-time, on-site role based in Boston, MA, for a Performance Engineer. The Performance Engineer will be responsible for analyzing and improving system performance, conducting rigorous performance and load testing, and optimizing software systems for high scalability and low-latency performance. The role involves working closely with the development and quality assurance teams to identify bottlenecks, develop performance engineering best practices, and ensure reliable system operation. This position will also contribute to enhancements in system architecture and the adoption of performance-focused tools and technologies.
Qualifications
Mantis AI is a cutting-edge platform that specializes in multi-modal data integration and interactive analytics, empowering users to analyze diverse large-scale datasets across various industries. Leveraging a hybrid architecture, Mantis integrates multiple data types into a unified latent space for seamless cross-modal queries and dynamic exploration. The platform’s notable features include cognitive cartography visualization, retrieval-augmented generation (RAG) for context-aware querying, and advanced AI capabilities like Agentic Workflows and automated communications. With tools for real-time clustering and low-latency distributed search, Mantis enables scalability and efficiency, making it suitable for analyzing datasets with tens of millions of data points. Based on innovation and scalability, Mantis continues to support professionals in achieving insights and enhancing productivity.
Role Description
This is a full-time, on-site role based in Boston, MA, for a Performance Engineer. The Performance Engineer will be responsible for analyzing and improving system performance, conducting rigorous performance and load testing, and optimizing software systems for high scalability and low-latency performance. The role involves working closely with the development and quality assurance teams to identify bottlenecks, develop performance engineering best practices, and ensure reliable system operation. This position will also contribute to enhancements in system architecture and the adoption of performance-focused tools and technologies.
Qualifications
- Expertise in Performance Analysis and Performance Engineering
- Proficiency in Load Testing and Performance Testing
- Strong skills in Software Development
- Experience with performance optimization tools and techniques
- Familiarity with distributed systems, scalable architecture, and efficient vector indexing is a plus
- Solid understanding of AI and machine learning workflows is a bonus
- Bachelor’s or advanced degree in Computer Science, Software Engineering, or a related field
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment