webAI is hiring a
Distributed Systems Engineer

Summary

Join our dynamic and fast-growing team at webAI as we seek an experienced Distributed Systems Engineer to design, implement, and maintain scalable distributed systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong problem-solving skills and the ability to work effectively in a collaborative environment
• Excellent communication and interpersonal skills
• Deep understanding of distributed system architectures, including microservices, event-driven architectures, and data consistency models
• Proven experience in designing and implementing distributed systems
• Strong programming skills in Rust, Go, and Python
• Understanding P2P network stacks, projects, and concepts like Libp2p, Bitswap, and DHTs
• Knowledge of P2P projects such as Bittorrent, IPFS, and others
• Experience with distributed databases, messaging systems, and caching technologies (e.g., Apache Kafka, MQTT, Cassandra)

Responsibilities

• Design, implement, and maintain distributed systems that are scalable, reliable, and efficient
• Collaborate with product managers, software engineers, and data scientists to understand system requirements and deliver innovative solutions
• Optimize system performance, identify bottlenecks, and implement solutions to enhance system scalability and reliability
• Conduct performance testing and implement strategies to improve system performance
• Ensure high availability and fault tolerance of distributed systems
• Stay updated with the latest industry trends and technologies to continuously improve our systems and processes
• Mentor junior engineers and provide technical guidance to the team

Preferred Qualifications

• Experience with ML frameworks and techniques (e.g., TensorFlow, PyTorch, training, data/model parallelism)
• Knowledge of AI/ML model deployment and scaling
• Knowledge of security best practices for distributed systems
• Familiarity with containerization technologies (e.g., Docker, Kubernetes)

Benefits

• Competitive salary and performance-based incentives
• Comprehensive health, dental, and vision benefits package
• $200/mos Health and Wellness Stipend
• $400/year Continuing Education Credit
• Flexible work week
• Free parking, for in-office employees
• Unlimited PTO
• Parental, Bereavement Leave
• Supplemental Life Insurance