Distributed Systems Engineer for Scalable Agent Platform

Plasma

New York (NY)

Presencial

USD 140 000 - 220 000

Tempo integral

Há 8 dias

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Plasma seeks a distributed systems engineer to design the infrastructure for Plasma's agents. You will shape scheduling, isolation, state consistency, and fault tolerance across a fleet of long-running agents.

You have built large distributed systems such as schedulers, control planes, or data platforms and want to apply that to Plasma's runtime. The role blends research and product as your findings influence ongoing execution.

Qualificações

  • Experience designing and operating distributed systems in production: schedulers, consensus, replication, queues, or stream processing.
  • Strong programming skills in Python and at least one systems language such as Go or Rust.
  • Experience with sandboxing and isolation, such as containers, microVMs, or network policy.

Responsabilidades

  • Design and implement scheduling for concurrent agents across compute resources.
  • Build sandboxed environments with network, data access, and spend controls.
  • Manage state and consistency at the storage layer with many agents reading/writing concurrently.
  • Implement fault-tolerance through checkpointing and recovery of long-running tasks.
  • Scale messaging transport for agent-to-agent communication.

Conhecimentos

Distributed systems design
Python
Go or Rust
Sandboxing / isolation

Ferramentas

Containers
MicroVMs
Networking stacks

Descrição da oferta de emprego

Plasma seeks a distributed systems engineer to design the infrastructure for Plasma's agents. You will shape scheduling, isolation, state consistency, and fault tolerance across a fleet of long-running agents.

You have built large distributed systems such as schedulers, control planes, or data platforms and want to apply that to Plasma's runtime. The role blends research and product as your findings influence ongoing execution.

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