Senior Backend Engineer, Space Operations Intelligence – Autonomy

This is a fully remote position, open to applicants in Alabama, +30 more states.

📋 Description

• Perform all role responsibilities in accordance with Slingshot’s core values, mission, and objectives.

• Collaborate with the technology team, including product managers, designers, and engineers, to create appropriately sized solutions that enhance Slingshot’s SOIA capabilities.

• Fulfill product requirements promptly without compromising operational stability.

• Engage in Agile software development and deployment methodologies.

• Offer continuous support for services and applications that are essential to real-time space operations intelligence.

• Convey methods, results, and hypotheses to stakeholders effectively.

• Work on both frontend and backend services to provide value to both internal and external users.

• Develop data platforms/pipelines, microservices, interactions with AI agents, and distributed systems that drive SOIA workflows.

• Create and document APIs (REST, GraphQL) that support high-volume, real-time data flows.

• Design advanced data interfaces and interactive user experiences that enhance operator decision-making processes.

• Transform architectural concepts into technical specifications that can be implemented by any team member.

⛳️ Requirements

• Minimum of 5 years of experience in software development.

• Bachelor’s degree in computer science, engineering, or a related discipline.

• Active security clearance is necessary; Top Secret clearance is preferred.

• Proficient in our tech stack or analogous technologies (Java/Kotlin, GraphQL/GraphQL subscriptions, REST, Docker, Kubernetes, React, Python).

• Experienced in cloud-based deployments (AWS), including PaaS and IaaS solutions, as well as Infrastructure-as-Code.

• Skilled in working with containers and container orchestration (Docker, Kubernetes, Helm, EKS).

• Extensive understanding of version control systems (Git) and CI/CD tools (GitHub Actions).

• Familiarity with event-driven architectures, including Kafka and CloudEvents, data platforms, microservices, and distributed systems.

• Knowledgeable in database design, performance optimization, and troubleshooting (PostgreSQL, MongoDB).

• Proficient in collaborating with data scientists to integrate AI/ML/LLM into production software.

• Willingness to travel up to 10% of the time.

🏝️ Benefits

• Health insurance.

• Retirement plans.

• Paid time off.