Cloud SDE, VirtSat Platform - Satellite Simulation

Amazon

Redmond (WA)

On-site

USD 144,000 - 194,000

Full time

12 days ago

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Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Kuiper Manufacturing Enterprises LLC is seeking a Software Development Engineer to build and scale the VirtSat platform that provisions virtual satellites, gateways, terminals, and antennas. You will own the simulation service APIs, provisioning workflows, plugin framework, canaries, and health checks, ensuring low-latency, highly scalable cloud services for Leo's constellation.

You will work on a distributed system with hardware-dependent dependencies, emphasizing reliability,

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