Lead Software Engineer

December 15, 2024

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Slingshot Aerospace

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Slingshot Aerospace is a leading AI and data-driven platform focused on optimizing satellite operations and enhancing space traffic coordination for operators worldwide. Renowned for its innovative solutions in space domain awareness, Slingshot Aerospace provides advanced tools for space security, defense missions, training, and market analysis. The company's comprehensive offerings include space object tracking, AI-driven training agents, and astrodynamics services. Through its Global Sensor Network and sophisticated data fusion techniques, Slingshot transforms disparate space data into actionable insights, improving operational efficiency and reducing risks in an increasingly complex orbital environment. Trusted by government and commercial space operators, Slingshot Aerospace is committed to making the space domain safe, sustainable, and secure for future generations.

aerospace • machine learning • analytics • space • AI

51 - 200 employees

Founded 2020

🚀 Aerospace

🤖 Artificial Intelligence

🔐 Security

💰 $25.2M Grant on 2022-03

📋 Description

• Design and build capabilities that advance product development • Deliver high-quality code and support team through mentoring • Work cross-functionally with product managers, designers, and engineers • Own technical leadership for projects, ensuring timely delivery and system stability • Foster an environment of personal and professional growth • Lead all stages of the software development lifecycle • Participate in customer engagements and technical discussions • Mentor team members

🎯 Requirements

• 7+ years of experience in software development • Served as a tech lead or equivalent role for 3+ years • 4-year degree in computer science, engineering, or a related field • Experience using our stack or similar technologies (Node.js, Typescript, Python, Java/Kotlin, GraphQL, REST, Docker, Kubernetes, React) • Adept in working with cloud-based deployments (AWS) PaaS and IaaS offerings including some experience with Infrastructure-As-Code solutions • Capable working with containers and container orchestration (Docker, Kubernetes, Helm, EKS) • Deep working knowledge of version control (Git) and CI/CD tools (GitHub Actions) • Experience with event-driven architectures including Kafka and CloudEvents, data platforms, microservices, and distributed systems • Leading initiatives to ensure unit and integration tests are part of the Definition of Done • Knowledgeable in database design, performance, and troubleshooting (PostgreSQL, MongoDB, Neo4j) • Skilled in collaborating with data scientists in incorporating AI/ML/LLM into existing software products • Ability to travel up to 10% of the time