Senior Distributed Systems / Platform Engineer

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