Backend Engineer

February 21

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Simbian

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Simbian is a cutting-edge technology company specializing in autonomous AI agents designed to enhance security intelligence, speed, and efficiency for organizations. Its platform leverages AI to transform security analysts into programmers without the need for coding, offering integration with existing security infrastructures without disruption. Simbian's AI Agents deliver increased productivity and cost savings, automating common tasks and preserving best practices. The company's solutions support a unified security architecture and communicate in natural language, working seamlessly with various security products. Simbian is proud of its SOC2 compliance, ensuring high security standards and aims to revolutionize security practices through its hallucination-free trusted large language models (LLMs). Offering both SaaS and on-premise solutions, Simbian caters to a global audience, making security management more strategic and effective.

11 - 50 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

📋 Description

•Design and implement robust backend systems to support advanced security operations on our AI-driven platform, including real-time data processing, alert management, and automated response mechanisms. •Develop and maintain scalable services and APIs that integrate with various security tools and platforms, ensuring seamless data flow and functionality across our AI agents. •Collaborate with frontend developers and product teams to build cohesive solutions that enhance AI capabilities and user experience. •Optimize backend services for performance and efficiency, utilizing techniques such as caching, data indexing, and query optimization, tailored for high-demand AI applications. •Lead the creation of technical documentation and architectural designs, facilitating a clear understanding of backend systems and their interactions within a complex, AI-driven platform.

🎯 Requirements

•You have extensive experience in backend development, with proficiency in programming languages such as Python, Java, or Go. •Demonstrated experience with building and maintaining data pipelines and data infrastructure, focusing on efficiency and scalability. •Strong background in semantic modeling, data architecture, and data integration, essential for optimizing the performance and accuracy of AI applications. •Familiarity with server, network, and hosting environments, including cloud services like AWS, Azure, or GCP, and container orchestration technologies such as Kubernetes and Docker. •Proven track record of building and maintaining high-availability systems that can handle large-scale data processing and complex business logic, particularly in AI-driven platforms. •Strong understanding of database management, both SQL and NoSQL, and the ability to design efficient schemas and optimize queries for performance.