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Role description

Senior Distributed Systems / Platform Engineer

Satlyt logoSatlyt
Zero to one
WorkplaceOn-site
SenioritySenior
LocationSan Francisco, CA
Engineering

You will be responsible for building the distributed infrastructure that allows Satlyt to securely operate hundreds and eventually thousands of compute nodes across space and ground. You will work on orchestration, fleet management, reliability, networking, observability, and automated deployment across highly constrained distributed environments.

Satlyt is building virtual AI data centers in space. Unlike traditional cloud infrastructure, Satlyt operates across compute nodes that may be intermittently connected, bandwidth-constrained, power-constrained, resource-constrained, and physically inaccessible.

  • Design and build Satlyt’s distributed compute and orchestration platform

  • Build systems for

    • Workload scheduling

    • Deployment

    • Monitoring

    • Software updates

    • Failure recovery

  • Develop fleet-management systems across heterogeneous compute environments

  • Build resilient infrastructure for intermittently connected nodes

  • Design control-plane and data-plane systems

  • Build networking abstractions across terrestrial and space-based links

  • Improve container orchestration across constrained edge hardware

  • Build secure remote software deployment and update mechanisms

  • Develop automated provisioning and configuration systems

  • Build observability across distributed spacecraft and ground nodes

  • Design systems that tolerate

    • Network partitions

    • High latency

    • Packet loss

    • Node failures

    • Stale state

    • Delayed communication

  • Optimize

    • Compute

    • Storage

    • Bandwidth

    • Power

  • Debug complex distributed systems and infrastructure failures

  • Build platform tooling and infrastructure automation

  • Turn recurring customer integration requirements into reusable platform capabilities

  • Work closely with the CTO on architecture decisions and technical tradeoffs

  • 5+ years building production distributed systems, infrastructure, platform systems, or similarly complex software

  • Strong Linux fundamentals

  • Strong programming ability in

    • Go

    • Rust

    • C++

    • Python

  • Experience with

    • Kubernetes

    • Container runtimes

    • Schedulers

    • Distributed orchestration

  • Strong understanding of networking

  • Strong distributed systems fundamentals

  • Experience operating important production infrastructure

  • Experience with infrastructure operations including

    • Observability

    • CI/CD

    • Infrastructure automation

    • Configuration management

  • Strong ability to reason about failure modes and degraded operating conditions

  • Ability to make clear architecture and engineering tradeoffs

  • Strong ownership and execution mindset

  • Kubernetes internals

  • Edge computing

  • Embedded Linux

  • ARM-based systems

  • Fleet management

  • Distributed databases

  • Service meshes

  • Overlay networking

  • Satellite communications

  • DTN or HDTN

  • BPv7, CFDP, or ION

  • Security engineering

  • AI infrastructure

  • Robotics or autonomous systems

  • Remote device management

  • Experience operating large distributed device fleets

Relevant archetypes

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Company info

Satlyt logo

Satlyt

Fast and secure edge computing in space

Satlyt enhances satellite computing resources and efficiently handles data traffic, making operations smoother and cheaper.

Private companySeedRecently raisedIn the newsAI-product
Founded2024
HQSan Francisco, United States
Unlock human wisdom
ThesisTermsPrivacy
Size
8 employees
IndustrySpace Research and Technology
Funding
  • Seed · Oct 1, 2026
  • Pre-seed · $300K · Aug 30, 2024
News
  • Satlyt startup is close to turning satellites into space-based data centers
  • Satlyt Is Moving Computing Closer to Where Space Data Is Collected
  • Satlyt Tests Satellite-Based Data Centers in Orbit
  • Satlyt takes another step toward turning satellites into space data centers

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