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Software Engineer
Backend
Confirmed live in the last 24 hours
Company Overview
Muon Space stands out for its unique approach to problem-solving, deploying custom space sensors tailored to the specific needs of an organization, thereby providing unparalleled insights. The company's dedicated team of scientists and operational experts work closely with clients, ensuring a seamless transition from data acquisition to actionable strategies. This hands-on, client-centric culture, coupled with their technical prowess in space-based sensing solutions, positions Muon Space as a leader in the industry.
Energy
Company Stage
Series A
Total Funding
$35M
Founded
2021
Headquarters
Mountain View, California
Growth & Insights
Headcount
6 month growth
↑ 15%1 year growth
↑ 52%2 year growth
↑ 235%Locations
Remote in USA • Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Apache Kafka
Data Analysis
Docker
Google Cloud Platform
Jupyter
Airflow
Linux/Unix
Microsoft Azure
Kubernetes
Python
UI/UX Design
FastAPI
CategoriesNew
Software Engineering
Requirements
- B.S., M.S., or Ph.D. in computer science or related field, or equivalent experience
- 5+ years experience as a software engineer in a team environment
- Strong programming experience in Python, with knowledge of industry-standard data formats and schemas (ProtoBuf, YAML, JSON, etc)
- Experience with cloud-native software development in at least one major cloud provider (AWS, GCP, Azure) using containers
- Excellent communication and presentation skills
- Excited to work in a fast-paced environment with new opportunities each week
Responsibilities
- Participate in designing our cloud architecture: choosing which technologies we will use, how we will organize the system, and when we should build systems in-house vs buy them off the shelf, to maximize the impact of our team
- Manage the cloud infrastructure we will use to deploy our cloud applications, using tools like Kubernetes, Helm, and AWS Lambda
- Build a world class Mission Control in the cloud, using tools like Docker and FastAPI
- Build the spacecraft-to-cloud data integration: processing and archiving the command history and telemetry, using tools like Kafka, InfluxDB, and Grafana
- Build the APIs and tooling to integrate our cloud with remote antenna ground station networks
- Collaborate with Data Engineers to define, manage, and maintain our data processing environments: development sandbox and production workflow, using tools like AWS Lambda, Jupyter Hub, and Apache Airflow
- Integrate physical test hardware in our lab with our cloud systems
- Architect systems to achieve low latency and fault tolerance
- Deploy infrastructure and tools to workstations, on-premises data centers, and cloud environments
Desired Qualifications
- Experience with the Azure cloud ecosystem
- Experience with IP networking
- Experience managing CI/CD in cloud-based development, staging, and production environments
- Have a passion for simple architectures and clean APIs
- Strong Linux fundamentals and comfortable with Linux development and deployment environment
- IT and Information security (authentication, encryption)
- Web interactive UI design (for data access and visualization)
- Experience smoothly deploying continuously evolving data services to customers