Ground Software Engineer

As a Ground Software Engineer at Muon Space, your key responsibilities will include building a top-notch Mission Planning and Control System in the cloud, managing cloud application infrastructures, and integrating spacecraft data to our cloud solutions. You will be involved in designing our cloud architecture, making strategic decisions around technology usage, and implementing robust APIs and tooling to support ground station networks.

To be considered for the Ground Software Engineer role at Muon Space, candidates should possess a B.S., M.S., or Ph.D. in computer science or a related field, coupled with at least 7 years of software engineering experience. Proficiency in Python, experience with cloud providers like AWS, GCP, or Azure, and familiarity with containers and continuous integration/deployment practices are essential.

While not mandatory, candidates for the Ground Software Engineer position at Muon Space will stand out with experience in the AWS ecosystem, Linux systems, IT security basics, and a passion for developing clean architectures. Familiarity with CI/CD pipelines in cloud environments also adds value to your application.

The salary for the Ground Software Engineer role at Muon Space ranges from $95k to $195k, depending on the candidate's skills, qualifications, and location. This role offers a competitive compensation package, including equity, medical benefits, and a generous vacation policy.

At Muon Space, Ground Software Engineers enjoy a comprehensive benefits package that includes medical, dental, and vision insurance, a 401k retirement plan, short and long-term disability coverage, life insurance, and generous vacation and holiday allowances. Our commitment extends beyond salary to ensure a supportive work environment for all employees.

When answering this question, highlight specific projects where you utilized cloud technologies, detailing your role and the impact your contributions made. Discuss any familiarity with AWS, GCP, or Azure, and your experience in cloud-native development, containerization, and managing CI/CD pipelines.

To answer this, discuss your systematic approach to debugging, including tools and methodologies you employ. Share real-world examples of challenges faced in previous roles and how you successfully devised solutions, emphasizing collaboration when necessary.

Focus on your proficiency in Python, as it's crucial for the Ground Software Engineer role. Provide examples of applications you developed, how you used Python for web development, and any frameworks or libraries that you've leveraged to enhance your work.

Detail a specific project where you designed or implemented APIs, highlighting thought processes around architecture, security, and user experience. Mention tools you used such as FastAPI, and reflect on any challenges faced and lessons learned.

Discuss your strategic thought process for cloud architecture, including considerations of technology selection, scalability, fault tolerance, and security. Providing a past example would be effective in showcasing your understanding and practical application of these principles.

Explain methods you utilize to achieve low-latency performance, such as optimizing data flow, load balancing, and employing efficient data processing strategies. Using specific examples can help strengthen your response.

Elaborate on your experience with infrastructure management tools like Kubernetes and Helm. Describe how you monitor performance, handle deployments, and ensure operational stability in a production environment.

Share your strategies for prioritization, such as using task management tools, the Agile methodology, or setting clear goals. Discuss how you maintain flexibility while meeting deadlines in rapidly changing circumstances.

Detail your understanding of security best practices, including authentication and encryption. Discuss projects where you’ve implemented security measures, the rationale for those decisions, and how you stay updated on emerging security trends.

Talk about your hands-on experience with data processing solutions, particularly in relation to telemetry from spacecraft. Highlight your familiarity with tools like Kafka and InfluxDB, along with the importance of effective data management and visualization.