Senior Backend Engineer, Space Operations Intelligence – Autonomy

Job Description:

• Execute all position responsibilities in alignment with Slingshot’s core values, mission, and purpose
• Work across the technology team with product managers, designers, and engineers to build rightsized solutions that advance Slingshot’s SOIA capabilities
• Meet product requirements in a timely manner while not compromising operational stability
• Participate in Agile software development and deployment processes
• Provide ongoing support for services and applications that are mission critical to real-time space operations intelligence
• Communicate methods, findings, and hypotheses with stakeholders
• Work across both frontend and backend services to deliver value to internal and external users
• Build data platforms/pipelines, microservices, interactions with AI agents, and distributed systems powering SOIA workflows
• Build and document APIs (REST, Graph
  
  QL) supporting high volume, real-time data flows
• Develop advanced data interfaces and interactive user experiences that streamline operator decision cycles
• Turn architecture ideas into technical specifications that can be executed by anyone on the team

• 5+ years of experience in software development
• 4-year degree in computer science, engineering, or related field
• Active security clearance required;
  Top Secret preferred
• Experience using our stack or similar technologies (Java/Kotlin, Graph
  
  QL/Graph
  
  QL subscriptions, REST, Docker, Kubernetes, React, Python)
• Adept in working with cloud-based deployments (AWS) including PaaS and IaaS offerings and Infrastructure-as-Code
• Capable working with containers and container orchestration (Docker, Kubernetes, Helm, EKS)
• Deep working knowledge of version control (Git) and CI/CD tools (Git Hub Actions)
• Experience with event-driven architectures including Kafka and Cloud Events, data platforms, microservices, and distributed systems
• Knowledge of database design, performance, and troubleshooting (Postgre
  
  SQL, Mongo
  
  DB)
• Skilled in collaborating with data scientists to incorporate AI/ML/LLM into production software
• Ability to travel up to 10% of the time

• Health insurance
• Retirement plans
• Paid time off