.About Maisa maisa AI is an AI Research Lab, as well as AI SaaS (b2b) startup providing a horizontal platform that enables companies and knowledge workers to create and manage their Digital Workforce of Autonomous AI Workers. These workers operate 24/7, handling end-to-end jobs and mission-critical processes with unparalleled traceability, explainability and consistent quality. No hallucinations! We're revolutionizing productivity through cutting-edge AI technology. We are seeking a Senior Full Stack Infrastructure Engineer to play a crucial role in our Site Reliability engineering (DevOps/SysOps/SecOps) and platform development efforts. This position offers a unique opportunity to work across our entire stack, ensuring the reliability, scalability, and security of our systems while also contributing directly to our product development. ## Key Responsibilities - Actively contribute as a hands-on engineer, dedicating 60% of your time to DevOps and SysOps responsibilities and 40% to supporting the engineering team as a regular contributor. - Implement and maintain robust SysOps, DevOps & SecOps practices, including CI/CD pipelines, infrastructure as code, and automated testing. - Manage and optimize our cloud infrastructure and on-premises systems, ensuring high availability, performance, and cost-effectiveness. - Collaborate closely with the development team, providing feedback and implementing best practices to improve the performance and reliability of applications. - Design, implement, and maintain scalable, high-performance systems capable of handling high-concurrency and real-time processing. - Assist in implementing and maintaining security best practices across our infrastructure and applications. - Troubleshoot and resolve complex technical issues across the entire stack. - Implement and manage monitoring, alerting, and logging systems to ensure proactive problem detection and resolution. - Participate in on-call rotations to provide 24/7 support for critical systems. - Continuously evaluate and integrate new technologies to improve our infrastructure and development processes. ## Required Skills and Experience - Strong proficiency in Golang and Python , with familiarity in Rust for small-scale features. - Extensive experience with DevOps practices and tools, including CI/CD, configuration management, and infrastructure as code. - Solid SysOps skills, including system administration, network management, and performance tuning. - Experience working with AWS services and the ability to handle cloud environments across various providers (GCP; Azure, etc.). - Solid understanding of event-driven architectures and high-concurrency environments , with hands-on experience using Kafka , EventBridge , or similar event streaming technologies. - Familiarity with Large Language Models (LLMs) , retrieval-augmented generation (RAGs) , embeddings , and other AI-related services is a major plus