Distributed Systems Engineer

Parasail • San Mateo, CA

7h

About The Position

The Distributed Systems Engineer role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.

Requirements

• Deep understanding of distributed application design patterns, service decomposition, and inter-service communication.
• Experience in building scalable and maintainable microservice-based systems.
• Strong foundation in storage solutions and networking protocols.
• Ability to design and implement robust backend systems with optimized data management and network communication.
• Extensive experience with Java, Spring Boot, and Golang.
• Proficiency in developing enterprise-grade applications using modern development frameworks and tools.
• Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns.
• Experience in designing and maintaining large-scale distributed applications.
• Proficiency in cloud platforms and Infrastructure as Code (IaC).
• Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.
• Understanding of LLM technologies and their applications.
• Experience in integrating and working with AI language models in production environments, including model deployment and optimization.
• 5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.
• Demonstrated ability to build and secure scalable, high-performance backend.
• Hands-on experience to build brand new systems and make them end-to-end work.
• Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.
• Demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge.

Nice To Haves

• AI experience is not required, but a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.

Responsibilities

• Ensuring the seamless deployment, scalability, and security of our AI platform.
• Creating robust infrastructures that support complex AI workloads.
• Facilitating the orchestration of resources needed for high-performing AI applications.
• Ensuring infrastructure adheres to the highest standards of security and data privacy.
• Building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services.
• Ensuring AI solutions are not just innovative but also secure and sustainable.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed