Develop and deploy Python-based microservices for satellite communications, ensuring reliability and observability in cloud and edge environments.
We are seeking a versatile Backend Software Engineer to join our team. This role is central to our mission, focusing on building robust ground segment software for space communications. You will play a pivotal role in developing and deploying Python-based services that form the backbone of our global control and data plane systems, enabling seamless satellite communications worldwide for the entire space industry.
You are preferably someone who has deployed and been heavily responsible for microservices in the cloud. You are no stranger to instrumenting services with observability. Design patterns involving message queues, APIs, and complex networking setups.
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.
Preferred Qualifications
- 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.
Bonus
- Note: none of these required at all, but these topics will come up in day-to-day work
- Experience with GNURadio.
- Experience with digital signal processing (DSP)
- Experience with satellite networking.
Top Skills
AWS
Docker
Kubernetes
Python
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