Parasail · 3 months ago
Backend Generalist Engineer
San Mateo, CA
Full-time
Onsite
Senior Level
$100K/yr - $250K/yr
5+ years expParasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs. The Distributed Systems Engineer role is crucial for ensuring the seamless deployment, scalability, and security of the AI platform, focusing on creating robust infrastructures that support complex AI workloads.
Artificial Intelligence (AI)Network HardwareOpen Source
Responsibilities
Microservice Architecture: Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems
Backend Development: Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication
Programming Languages & Frameworks: Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools
Distributed Systems: Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications
Cloud-Native Technologies: Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices
Large Language Models: Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization
Qualification
Required
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 to build brand new system and make end to end work
Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads
While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential
Microservice Architecture: Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems
Backend Development: Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication
Programming Languages & Frameworks: Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools
Distributed Systems: Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications
Cloud-Native Technologies: Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices
Large Language Models: Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization
Company
Parasail
Parasail is an AI deployment networking company that provides AI products to builders and innovators for secure compute.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$10M2025-11-24Series A
2025-04-02Seed· $10M
Company data provided by crunchbase