Cloud SDE — Virtual Satellite Platform & Orchestration

Worky; Redmond (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon Leo is building a cloud-based simulation platform for virtual satellites and ground systems. We seek a Software Development Engineer to own the simulation control plane, provisioning workflows, and health systems that keep a multi-tenant, physics-dependent stack reliable.

You will work across API design, orchestration, and observability, ensuring low latency and scalable operations while integrating with certificate provisioning and identity services. This role requires a U.S.

Qualifications

• 3+ years of non-internship professional software development experience.
• Experience designing, building, operating, and managing large-scale distributed systems or web services.
• Knowledge of at least one programming language such as Java, C#, JavaScript, Python, Ruby or Perl.
• Experience designing and evolving APIs, including backward compatibility and versioning.
• Working knowledge of AWS compute, orchestration, and observability services.
• BS in Computer Science, Electrical Engineering, or equivalent practical experience.

Responsibilities

• Own the entity lifecycle APIs — create, provision, power-on, and tear down virtual satellites, gateways, customer terminals, and antennas — and drive them to and past a 99.9% availability bar
• Design and evolve the orchestration layer: long-running state machines that coordinate provisioning across distributed dependencies where any step can fail on physics rather than code, and where partial failure must be recoverable rather than restart-from-scratch
• Own the service-side plugin framework — the published contract, registration, delegation, and result aggregation that lets subsystem owner teams define their own initialization, health validation, and provisioning logic without our team in the loop
• Build the health check aggregation API: a single call that returns per-subsystem health with every failure attributed to the team that owns it, so customers self-diagnose instead of paging an on-call
• Build and own continuous canaries that validate the full stack against a pre-production constellation on a fixed schedule, wired so that a failure cuts a ticket and pages automatically with no human in the detection path
• Integrate with certificate, identity, and entity-registry services — device identity generation at constellation scale, certificate lifecycle, namespace registration, and the calibration data that makes a virtual entity behave like its physical twin
• Drive down provisioning latency, currently measured in minutes at p90, through parallelization, image pre-baking, and eliminating serialized dependencies
• Own observability end to end — structured logging, embedded metrics, distributed tracing, and log centralization — with the specific goal that a customer can root-cause a failed run from logs alone without recreating it
• Scale the platform for concurrent multi-tenant use: capacity management across bare-metal pools, fleet-wide provisioning throughput, and cost per simulated entity
• Partner closely with the virtualization and emulation team that owns the host layer, with subsystem owner teams who build against your plugin contract, and with the test frameworks and release pipelines that are your highest-volume customers

Skills

Distributed systems

APIs design

Programming languages

AWS services

Education

BS in Computer Science or Electrical Engineering

Job description

Amazon Leo is building a cloud-based simulation platform for virtual satellites and ground systems. We seek a Software Development Engineer to own the simulation control plane, provisioning workflows, and health systems that keep a multi-tenant, physics-dependent stack reliable.

You will work across API design, orchestration, and observability, ensuring low latency and scalable operations while integrating with certificate provisioning and identity services. This role requires a U.S.