Systems Engineer

As a Systems Engineer at Augment Code, you'll play a crucial role in bridging the gap between complex AI research and real-world SAAS applications. You'll be tasked with designing, implementing, and maintaining our infrastructure, ensuring high availability and optimal performance for AI-driven services catered to a global user base. Key Responsibilities: Product Development: Help design, develop, and maintain product features and services. Infrastructure Development: Set up and maintain scalable and highly available systems that underpin our AI-driven SAAS platform. Performance Optimization: Monitor the health and performance of systems. Ensure high availability and optimal performance of resources crucial to our AI services. Security/Privacy Measures: Implement best practices to maintain the integrity, security, and privacy of our data and infrastructure. Collaboration: Work hand-in-hand with our AI researchers to understand their needs and optimize systems to handle intensive AI computations and deployments. Automation: Streamline operations by identifying processes ripe for automation and deploying suitable solutions. Continuous Learning: Stay abreast with the evolving landscape of AI infrastructure needs and tools. Integrate best practices into our operations to enhance our services. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is an advantage. 5+ years of experience as a Systems Engineer, with exposure to AI-driven environments or SaaS platforms being a significant plus. Expertise in software development in relevant languages (any of Python, Go, Rust, C++, etc) Proven problem-solving skills, especially in troubleshooting complex issues in distributed systems. Strong written and verbal communication abilities. Desired but optional: Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes. Previous experience working with AI/ML, distributed systems, HPC, and systems/infrastructure is a plus.