Senior Software Engineer

Description:

The Enterprise Data Management & Analytics team supervises the platform and data management capabilities that enable analytics, data engineering and data science across the company. We are constantly innovating in the ways we are automating and accelerating the creation of products using innovative software and hardware technologies. We use the latest AWS technologies, big data approaches, and ML to build distributed, highly available systems to achieve our goals.

We are seeking a highly skilled Software Engineer III - AI/ML to join our Machine Learning team. This role requires an individual with a deep understanding of software development, machine learning and a broad range of technical capabilities. The ideal candidate will be hands-on and ready to dive in.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!

What You Will Be Doing
 

• Design and implement scalable, low-latency AI services powering metadata generation and feature extraction
• Collaborate with business stakeholders and engineering peers to understand and translate business requirements into flexible design solutions
• Ensure that AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns
• Own features end‑to‑end: from project estimation and architecture review through coding, deployment, and post‑launch measurement
• Build resilient systems with strong observability, bringing to bear automated testing, monitoring, and CI/CD pipelines using infrastructure-as-code tools like Terraform.
• Lead on‑call rotations; drive root‑cause analysis, observability improvements, and operational excellence
   

Required Qualifications
 

• BS or MS degree in Computer Science or a related field.
• 7+ years of professional software development experience with focus on building RESTful APIs and AI/ML applications, in cloud environments, and containerized workloads (we use AWS)
• Proficiency in one or more programming languages such as Python (Preferred), Java, or Go
• Knowledge of professional software engineering practices including coding standards, code reviews, source control, build processes, testing, and operations
• Solid understanding of CS fundamentals: object-oriented design, algorithms, and problem-solving