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Design and build a centralized observability platform for satellite and deep-space networks. Implement metrics, logging, and tracing (Prometheus, Loki, Tempo/OpenTelemetry), define SLOs/SLIs/error budgets, automate deployments with IaC and GitOps, integrate observability into Kubernetes and cloud environments, support engineers with instrumentation and tooling, lead monitoring/alerting/incident response, and participate in on-call rotations.

Serve as the technical bridge between physical-layer communications and software orchestration: build and maintain Spacetime system models, write production adapter layers (Python/Go), design data schemas (Protobuf/JSON/gRPC), perform link-budget and propagation analyses, lead tier‑3 triage for live networks, and collaborate with product and engineering to convert integrations into reusable features.

The Machine Learning Engineer will research algorithms for networking, develop ML infrastructure, maintain documentation, and assist in technical communication.

Lead end-to-end delivery of software and space-network projects: plan, govern, manage budgets, risks, subcontractors, stakeholders (including ESA/Horizon partners), and produce technical deliverables while driving continuous improvement.

As a DTN Software Engineer, you will develop and maintain DTN products, work on distributed systems, and collaborate with other engineers to innovate communication solutions.

The Solutions Architect will lead architecture for 4G/5G NTN systems, engage customers, and optimize network operations, focusing on space and terrestrial integration.