Tasking & Scheduling Software Engineer

Bachelor’s or Master’s degree in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related field
Proficiency in programming languages: Python (required), Rust, Java, or C++
Excellent problem-solving and analytical skills
Excellent communication and collaboration skills
Experience with cloud-based distributed systems and microservices (e.g., AWS, Azure)
Knowledge of data storage and processing technologies (e.g., SQL, MongoDB, InfluxDB, Kafka)
Familiarity with containerization and orchestration platforms (e.g., Docker, Kubernetes)
Experience with version control systems (e.g., Git, gitlab) and CI/CD pipelines
Eagerness to learn new skills and technologies

Design and implement systems that directly impact Capella’s tasking & scheduling operations
Collaborate with Tasking & Scheduling engineers to design, develop, and test software solutions
Write clean, efficient, and maintainable code
Research and apply software and engineering best practices
Extract and analyze data to measure the success of the constellation automated operations
Participate in code reviews
Work and communicate effectively as part of a cross-functional team
Assist with documentation and technical support
Optimize system performance and reliability