Building robust ground segment software for space communications, developing and deploying Python-based services that form the backbone of global control and data plane systems, enabling seamless satellite communications worldwide for the entire space industry.
Requirements
- Proficiency in Python with a strong understanding of best practices, design patterns, and modern Python frameworks.
- Experience with Docker for containerization and deployment in both cloud and edge environments.
- Experience with Kubernetes.
- Experience with centralized logging, alerting, metrics, and tracing infrastructure.
- Familiarity with cloud platforms (e.g., AWS) and infrastructure-as-code tools.
- Strong debugging and problem-solving skills in Linux-based environments.
- Knowledge of network communication protocols and distributed systems.
Responsibilities
- Architect and own scalable microservices that interface with RF systems, mission control software, and third-party ground station APIs.
- Develop containerized applications and deploy them using Docker to both cloud and edge environments, including ground stations and customer deployments.
- Integrate observability and reliability into every service - metrics, structured logging, distributed tracing, and alerting.
- Contribute to system design reviews, architecture discussions, and documentation of interfaces and operational flows.
- Monitor and optimize system performance and resource utilization across cloud and edge environments to ensure high availability, low latency, and fault tolerance.
- Participate in on-call rotations, perform root-cause analysis of incidents, and drive continuous improvements in reliability and deployment practices.
- Ensure software security and compliance through rigorous testing, code reviews, and secure deployment practices.
Other
- Deployed and been heavily responsible for microservices in the cloud.
- Instrumenting services with observability.
- Design patterns involving message queues, APIs, and complex networking setups.
