Senior Backend Engineer

About the role

Slingshot Aerospace is a company dedicated to making space safer and more secure. We develop systems and software that enable satellites, operators, and constellations to understand their environment, anticipate behavior, and act autonomously in dynamic space conditions. Our work impacts global security, disaster response, climate monitoring, and critical infrastructure.

Responsibilities

• Build distributed systems, data platforms, and real-time services that drive Slingshot’s intelligence, autonomy, and simulation products.
• Influence architectural direction and mentor teammates.
• Collaborate with AI/ML and autonomy engineers to turn complex operational needs into scalable, high-reliability software.
• Support services and applications that are mission-critical to real-time space operations intelligence.
• Communicate with stakeholders and provide ongoing support for mission-critical services.
• Develop data platforms, pipelines, microservices, and advanced data interfaces.
• Build and document APIs (REST, GraphQL) for high-volume, real-time data flows.
• Create interactive user experiences that streamline operator decision cycles.
• Develop and document APIs (REST, GraphQL) supporting high volume, real-time data flows.
• Collaborate with data scientists to incorporate AI/ML/LLM into production software.
• Travel up to 10% of the time for work-related purposes.

Requirements

• Active security clearance required; Top Secret preferred.
• 5+ years of experience in software development.
• 4-year degree in computer science, engineering, or related field.
• Experience using our stack or similar technologies (Java/Kotlin, GraphQL/GraphQL subscriptions, REST, Docker, Kubernetes, React, Python).
• Experience with cloud-based deployments (AWS) including PaaS and IaaS offerings and Infrastructure-as-Code.
• Experience 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.
• Knowledge of database design, performance, and troubleshooting (PostgreSQL, MongoDB).
• Ability to collaborate with data scientists to incorporate AI/ML/LLM into production software.
• Experience with software startups and product-centric organizations.
• Experience integrating complex external systems via APIs.
• Experience with simulation technologies like HLA/DIS.

Qualifications

• Skilled in working with cloud-based deployments (AWS) including PaaS and IaaS offerings and Infrastructure-as-Code.
• Experience 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.
• Knowledge of database design, performance, and troubleshooting (PostgreSQL, MongoDB).
• Ability to collaborate with data scientists to incorporate AI/ML/LLM into production software.
• Experience with software startups and product-centric organizations.
• Experience integrating complex external systems via APIs.
• Experience with simulation technologies like HLA/DIS.

Skills

• Experience with cloud-based deployments (AWS) including PaaS and IaaS offerings and Infrastructure-as-Code.
• Experience 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.
• Knowledge of database design, performance, and troubleshooting (PostgreSQL, MongoDB).
• Ability to collaborate with data scientists to incorporate AI/ML/LLM into production software.
• Experience with software startups and product-centric organizations.
• Experience integrating complex external systems via APIs.
• Experience with simulation technologies like HLA/DIS.

Benefits

• Salary Range: $150,000 - 200,000 +
• Flexible work arrangements
• Competitive benefits package
• Professional development opportunities
• Work-life balance

Pay

• $150,000 - 200,000

Schedule

• Full-time