Slingshot Aerospace

Deploy and maintain global LAN infrastructure and serve as escalation point for connectivity issues. | Hands-on experience with enterprise network infrastructure, Palo Alto firewalls, AWS hybrid cloud, and Linux systems required. | Meet Slingshot At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software. We move fast, we're not afraid to fail, and we believe the best ideas can come from anywhere—whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right place. What You’ll Be Launching As a Network Engineer on the Global Sensor Network (GSN) Operations team, you will help deploy, maintain, secure, and evolve the networks powering Slingshot’s remote sensor infrastructure around the world. You’ll serve as a key technical escalation point for site connectivity and infrastructure issues while helping define the future-state architecture for scalable, resilient, and secure remote operations. This role sits at the intersection of networking, infrastructure, operations, and cybersecurity—supporting mission-critical environments that enable real-time space domain awareness and global sensor operations. We’re building a team of sharp, creative people who love solving hard problems. Bring your expertise, your perspective, and your drive—we’ll bring the rocket fuel. Your Mission (Should You Choose to Accept It) Network Operations & Infrastructure Deploy, configure, maintain, and support LAN infrastructure across remote Global Sensor Network sites. Troubleshoot complex connectivity issues involving routing, switching, VLANs, DNS, DHCP, NAT, VPNs, and IPsec tunnels. Support hybrid connectivity between remote infrastructure and AWS cloud environments. Maintain secure remote access infrastructure, including VPN alternatives, MDM, and host management solutions. Incident Response & Operational Excellence Serve as a primary escalation point for network-related outages, degradation, and operational incidents. Participate in incident response, root cause analysis, and post-incident improvement planning. Develop and maintain technical documentation, runbooks, network diagrams, standards, and operational procedures. Continuously improve network reliability, observability, scalability, and operational maturity across distributed sites. Security & Architecture Improve cybersecurity posture through secure network design, firewall policy management, segmentation, and access controls. Support the transition from Palo Alto-based environments to Cisco-based network architectures. Monitor and respond to network-based threats in coordination with security and DevSecOps teams. Support domestic and international networking regulations, including interoperability and data sovereignty requirements. Collaboration & Continuous Improvement Partner cross-functionally with Field Operations, DevSecOps, Engineering, and Infrastructure teams to support site readiness and operational success. Support maintenance windows, hardware refreshes, and new remote-site activations. Contribute to network automation, infrastructure-as-code initiatives, and operational standardization efforts. Identify opportunities to improve remote infrastructure performance, maintainability, and resilience. Pre-Flight Checklist Experience deploying, operating, and troubleshooting enterprise or remote-site network infrastructure. Strong understanding of TCP/IP networking, routing, switching, VLANs, subnetting, DNS, DHCP, NAT, VPNs, and firewall policies. Hands-on experience with firewall technologies, preferably Palo Alto Networks. Familiarity with Cisco Meraki networking platforms and hybrid cloud connectivity. Experience troubleshooting IPsec VPN tunnels and AWS networking environments, including VPCs, routing tables, and security groups. Comfortable working with Linux-based systems in networked infrastructure environments. Ability to independently troubleshoot complex issues and drive incidents through resolution. Strong documentation, communication, and cross-functional collaboration skills. Ability to operate effectively in remote or distributed operational environments. Bonus Cargo Experience supporting remote infrastructure, sensor networks, edge sites, industrial networks, or distributed field environments. Experience with infrastructure-as-code, automation, configuration management, or observability tools. Familiarity with zero trust principles, secure remote administration, and network segmentation strategies. Experience with network migrations, incident management, and root cause analysis processes. Certifications such as CCNA, CCNP, PCNSA, PCNSE, Meraki certifications, AWS Certified Advanced Networking, or AWS Solutions Architect. We’re building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you're mission-ready, send it. US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

Develop distributed systems and real-time services for space operations intelligence and autonomy. | Requires 5+ years experience, bachelor degree, proficiency in Java/Kotlin, AWS, and container orchestration, plus active security clearance. | About Space Operations Intelligence & Autonomy (SOIA) Space Operations Intelligence & Autonomy (SOIA) is the core of Slingshot’s mission. It includes the systems and software that enable satellites, operators, and constellations to understand their environment, anticipate behavior, and act autonomously in dynamic space conditions. Our capabilities span real-time domain awareness, high volume event detection, autonomous maneuver planning, AI-driven behavior modeling, anomaly detection, risk assessment, and high-fidelity simulation environments. Together, these form the intelligence and autonomy stack powering safer, smarter, and more resilient space operations. What You’ll Be Launching As a Senior Backend Software Engineer, you’ll build the distributed systems, data platforms, and real-time services that drive Slingshot’s intelligence, autonomy, and simulation products. Your work will enable advanced space domain awareness, autonomous maneuver planning, high-fidelity event detection, and mission ready training environments for national security and commercial customers. You’ll influence architectural direction, mentor teammates, collaborate with AI/ML and autonomy engineers, and turn complex operational needs into scalable, high reliability software that directly supports the safety and resilience of space operations. Your Mission (Should you choose to accept it) 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 buildrightsized 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, GraphQL) 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 Pre-flight Checklist 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, GraphQL/GraphQL 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 (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) • Skilled in collaborating with data scientists to incorporate AI/ML/LLM into production software • Ability to travel up to 10% of the time Bonus Cargo Security compliance accreditation experience (NIST80053, DoD ILs, FedRAMP) • Experience with software startups and product centric organizations • Knowledge of frontend technologies including React and Three.js • Collaboration experience with DevOps and infrastructure teams • Familiarity with QA practices • Track record of predictable software delivery with Product partners • Prior space or aerospace industry experience (bonus, not required) • Experience integrating complex external systems via APIs • Experience with simulation technologies like HLA/DIS We’re building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you’re mission ready—send it. Location: Two open roles. Strong preference for Colorado Springs, CO for both roles. Salary Range: $150,000 - 200,000 + Benefits US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

Build distributed systems, data platforms, and real-time services for space operations intelligence and autonomy. | 5+ years software development, degree in related field, experience with Java/Kotlin, GraphQL, REST, Docker, Kubernetes, cloud deployments, and security clearance. | About Space Operations Intelligence & Autonomy (SOIA) Space Operations Intelligence & Autonomy (SOIA) is the core of Slingshot’s mission. It includes the systems and software that enable satellites, operators, and constellations to understand their environment, anticipate behavior, and act autonomously in dynamic space conditions. Our capabilities span real-time domain awareness, high volume event detection, autonomous maneuver planning, AI-driven behavior modeling, anomaly detection, risk assessment, and high-fidelity simulation environments. Together, these form the intelligence and autonomy stack powering safer, smarter, and more resilient space operations. What You’ll Be Launching As a Senior Backend Software Engineer, you’ll build the distributed systems, data platforms, and real-time services that drive Slingshot’s intelligence, autonomy, and simulation products. Your work will enable advanced space domain awareness, autonomous maneuver planning, high-fidelity event detection, and mission ready training environments for national security and commercial customers. You’ll influence architectural direction, mentor teammates, collaborate with AI/ML and autonomy engineers, and turn complex operational needs into scalable, high reliability software that directly supports the safety and resilience of space operations. Your Mission (Should you choose to accept it) • 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 buildrightsized 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, GraphQL) 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 Pre-flight Checklist • 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, GraphQL/GraphQL 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 (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) • Skilled in collaborating with data scientists to incorporate AI/ML/LLM into production software • Ability to travel up to 10% of the time Bonus Cargo • Security compliance accreditation experience (NIST80053, DoD ILs, FedRAMP) • Experience with software startups and product centric organizations • Knowledge of frontend technologies including React and Three.js • Collaboration experience with DevOps and infrastructure teams • Familiarity with QA practices • Track record of predictable software delivery with Product partners • Prior space or aerospace industry experience (bonus, not required) • Experience integrating complex external systems via APIs • Experience with simulation technologies like HLA/DIS We’re building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you’re mission ready—send it. Location: Two open roles. Strong preference for Colorado Springs, CO for both roles. Salary Range: $150,000 - 200,000 + Benefits US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

Build distributed backend systems and data platforms to support space operations intelligence and autonomy products. | 5+ years software development, degree in CS or related, active security clearance, experience with Java/Kotlin, GraphQL, REST, Docker, Kubernetes, AWS, microservices, databases, and collaboration with AI/ML teams. | About Space Operations Intelligence & Autonomy (SOIA) Space Operations Intelligence & Autonomy (SOIA) is the core of Slingshot’s mission. It includes the systems and software that enable satellites, operators, and constellations to understand their environment, anticipate behavior, and act autonomously in dynamic space conditions. Our capabilities span real-time domain awareness, high volume event detection, autonomous maneuver planning, AI-driven behavior modeling, anomaly detection, risk assessment, and high-fidelity simulation environments. Together, these form the intelligence and autonomy stack powering safer, smarter, and more resilient space operations. What You’ll Be Launching As a Senior Backend Software Engineer, you’ll build the distributed systems, data platforms, and real-time services that drive Slingshot’s intelligence, autonomy, and simulation products. Your work will enable advanced space domain awareness, autonomous maneuver planning, high-fidelity event detection, and mission ready training environments for national security and commercial customers. You’ll influence architectural direction, mentor teammates, collaborate with AI/ML and autonomy engineers, and turn complex operational needs into scalable, high reliability software that directly supports the safety and resilience of space operations. Your Mission (Should you choose to accept it) • 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 buildrightsized 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, GraphQL) 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 Pre-flight Checklist • 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, GraphQL/GraphQL 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 (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) • Skilled in collaborating with data scientists to incorporate AI/ML/LLM into production software • Ability to travel up to 10% of the time Bonus Cargo • Security compliance accreditation experience (NIST80053, DoD ILs, FedRAMP) • Experience with software startups and product centric organizations • Knowledge of frontend technologies including React and Three.js • Collaboration experience with DevOps and infrastructure teams • Familiarity with QA practices • Track record of predictable software delivery with Product partners • Prior space or aerospace industry experience (bonus, not required) • Experience integrating complex external systems via APIs • Experience with simulation technologies like HLA/DIS We’re building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you’re mission ready—send it. Location: Two open roles. Strong preference for Colorado Springs, CO for both roles. Salary Range: $150,000 - 200,000 + Benefits US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

Develop and support backend and frontend services, build data platforms and APIs, and collaborate across teams to deliver real-time space operations intelligence solutions. | Senior software developer with 5+ years experience, knowledge of Java/Kotlin, GraphQL, REST, cloud deployments, container orchestration, and strong collaboration skills. | 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, GraphQL) 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 Requirements: • 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, GraphQL/GraphQL 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 (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) • Skilled in collaborating with data scientists to incorporate AI/ML/LLM into production software • Ability to travel up to 10% of the time Benefits: • Health insurance • Retirement plans • Paid time off

Design, build, and maintain scalable cloud-native infrastructure using Infrastructure as Code and Kubernetes, optimizing CI/CD pipelines and integrating MLOps and DevSecOps practices. | Requires proficiency in Terraform, Linux system administration, CI/CD pipelines, and a bachelor's degree or equivalent experience. | Meet Slingshot At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software. We move fast, we're not afraid to fail, and we believe the best ideas can come from anywhere—whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right place. What You’ll Be Launching This is a full-time, remote role for a Senior DevOps Engineer. The Senior DevOps Engineer will design, build, and maintain scalable infrastructure using Infrastructure as Code (IaC). They will manage continuous integration pipelines, support system administration tasks, and ensure optimal performance, availability, and security of Linux-based systems. Additionally, the individual will collaborate closely with software developers to enhance deployment workflows and drive improvements in the overall system architecture. We're building a team of sharp, creative people who love solving hard problems. We value curiosity over ego, initiative over waiting for permission, and people who genuinely care about doing great work. Bring your expertise, your fresh ideas, and your drive—we'll bring the rocket fuel. Your Mission (Should you choose to accept it) Partner with offshore and onshore engineering teams to design, implement, and scale cloud-native infrastructure supporting a new customer portal and ongoing platform refactoring efforts Architect, build, and maintain Kubernetes-based environments that power production systems, ensuring scalability, resilience, and security Lead Infrastructure as Code initiatives (primarily Terraform) to automate provisioning, configuration, and environment consistency across AWS Design, implement, and optimize CI/CD pipelines to improve deployment velocity, reliability, and developer experience Integrate and operationalize MLOps practices, enabling efficient deployment, monitoring, and lifecycle management of machine learning workflows Embed DevSecOps best practices across the platform, incorporating security controls, compliance requirements, and monitoring into the development lifecycle Drive automation initiatives that reduce manual processes and increase system reliability and repeatability Collaborate closely with Platform, Engineering, and cross-functional stakeholders to gather requirements, troubleshoot issues, and continuously improve system architecture Monitor system performance, identify bottlenecks, and proactively implement improvements to optimize availability and cost efficiency Support incident response and root cause analysis efforts, driving long-term fixes and ensuring lessons learned translate into system improvements Pre-flight Checklist Proficiency in Infrastructure as Code (IaC) tools and practices, such as Terraform or CloudFormation Experience with Software Development, including scripting and programming to support automation and management of DevOps workflows Strong understanding of Continuous Integration and deployment pipelines Expertise in System Administration, including network configuration and troubleshooting Extensive experience with Linux systems, including performance optimization and security management Excellent problem-solving skills and ability to collaborate across teams Familiarity with containerization technologies such as Docker and Kubernetes is a plus Bonus Cargo Experience with ML OPs Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience We're building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you're mission-ready, send it. Location: Remote, US Salary: $136,000-$237,000 US-based Candidates: we are currently only able to hire residents of the following U.S. states: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, and WI. We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

Research and design AI systems and machine learning algorithms for space sustainability, lead AI-driven simulation tooling innovation, collaborate with teams to build AI solutions, publish research, and support product development. | 6+ years of industry or equivalent academic experience in AI/ML with software development skills, expertise in advanced AI methodologies, programming languages, collaborative code management, and eligibility for US government clearance. | About the Position In this role, you will join the AI and Data Science department within Slingshot’s Research and Development (R&D) organization. You will contribute directly to Slingshot’s vision to accelerate space sustainability and create a safer, more connected world. You will identify opportunities for AI to contribute to Slingshot’s mission goals by pioneering novel algorithms that leverage diverse data streams and advanced intelligence engines and by integrating the advancements into broader AI systems across the Slingshot technology platform. Slingshot Aerospace cares deeply about our commitment to company values, mission, and purpose. The core competencies we will be looking to identify include intellectual agility, ability to develop innovative solutions, leadership, performance orientation, and industry expertise. What You’ll Do Research and design AI systems, models, and advanced machine learning algorithms to augment physics-driven modeling and simulation systems and enable intelligent AI agents to reason, plan, and adapt based on simulated and real-world sensor data Lead innovation in AI-driven simulation tooling, identifying opportunities to enhance workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches Collaborate with research, engineering, and product teams to build AI-driven solutions that meet mission-critical modeling and decision-support needs Publish, and present research outcomes at approved conferences and peer-reviewed journals sharing advances with both internal stakeholders and the wider research community. Contribute content to technical invention disclosures, including associated narrative, graphics, and engagements in support of patent development Perform additional responsibilities (no more than 10% of duties) in support of the company’s data science and product development initiatives Requirements AI/ML expertise Demonstrable experience in the application of sophisticated AI/ML methodologies to science and/or engineering disciplines, including deep learning, generative models (e.g. LLMs, diffusion models), agentic systems, reinforcement learning, computer vision, or other emerging areas of AI research Hands-on experience developing and deploying supervised and/or unsupervised learning models Software development experience Familiarity with object-oriented or functional programming principles Expertise in at least one high-level programming language (e.g. Python, R, C++, Java) Collaborative source code management and maintenance processes (e.g. Github, code reviews, CI/CD) Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners Excellent verbal and written communication skills Passion for Space and AI/ML applications Must be a U.S. citizen eligible for government clearances Preferred Qualifications Experience with fine-tuning LLMs, prompt engineering, retrieval-augmented generation (RAG), and domain adaptation for scientific/engineering datasets using modern ML frameworks and model hubs Familiarity with Reinforcement Learning (RL) and multi-agent reinforcement learning to enable training agents that learn strategies in simulation and real-world contexts Strong understanding of neural networks, transformer architectures, attention mechanisms, and optimization methods to extend or fine-tune transformer-based models Experience building reusable internal tools (connectors, simulation frameworks, evaluation harnesses) to refine simulation-based datasets for AI agent training in support of research, data-driven insights/analytics, and model development Peer-reviewed publications and/or presentations in a scientific discipline, AI/ML focus preferred Demonstrable combined experience indicative of skillsets required to utilize APIs, microservices, and workflows that merge physics simulation engines with AI training pipelines Familiarity with common agentic protocols (MCP, A2A, etc...) Practical working experience with physics simulations, Monte Carlo methods, probabilistic modeling, and Bayesian methods 6+years industry or commensurate academic research experience (e.g. PhD and/or MS) in scientific or AI/ML-related domains Knowledge of parallelization, GPU acceleration, and performance optimization for simulations and training workloads. Experience with space and astrodynamics is valuable but not required Demonstrated experience leading the development, implementation, and transition of technology to production is desirable These skills are guidelines, not hard and fast rules. You don’t have to meet every qualification listed - if your skills are transferable and you meet the minimum requirements, we encourage you to apply. Location: Remote, US Classification: Full-time Exempt (computer professional exemption) US-based Candidates: we are currently only able to hire residents of the following U.S. states: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, and WI. We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

Design and build capabilities to solve satellite owner-operator problems while mentoring and supporting teammates. Participate in Agile processes and communicate effectively with stakeholders. | Candidates must have a minimum of 7 years of software development experience and a 4-year degree in a related field. Proficiency in technologies such as Java, Kubernetes, and cloud-based deployments is essential. | What You’ll Do: As a Staff Backend Software Engineer supporting Slingshot’s development, you will design and build capabilities that will enable our products to help solve satellite owner-operator problems. You will be a multiplier for the entire engineering team by not only delivering high-quality code on time but by helping your teammates do so as well, and by mentoring and providing support whenever needed. You will find, evaluate, and leverage new technologies; solve complex problems; and deliver value to end users. Slingshot Aerospace cares deeply about our commitment to company values, mission, and purpose. The core competencies we will be looking to identify include: intellectual agility, ability to develop innovative solutions, leadership, performance-orientation, and industry expertise. Position Responsibilities: Executes all position responsibilities in alignment with Slingshot’s core values, mission, and purpose Work across the technology team interacting with product managers, designers, and other engineers in implementing right-sized solutions Meet product requirements in a timely manner while not compromising the operational stability of the overall product Participate in Agile software development and deployment processes Provide ongoing support for the services and applications that are critical to our business needs Communicate methods, findings, and hypotheses with stakeholders Work on both the frontend and backend to solve problems and deliver value to both internal and external users Build data platforms/pipelines, microservices, interactions with AI agents and distributed systems Build and document APIs (REST, GraphQL) Develop advanced data interfaces and interactive user interfaces Turn architecture ideas into technical specifications that can be executed by anyone on the team Pre-Requisites Must be eligible to obtain or maintain US Government Security Clearance Minimum Requirements 7+ years of experience in software development 4-year degree in computer science, engineering, or a related field Experience using our stack or similar technologies (Java/Kotlin, GraphQL/GraphQL subscriptions, REST, Docker, Kubernetes, React, Python) 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 Knowledgeable in database design, performance, and troubleshooting (PostgreSQL, MongoDB) Skilled in collaborating with data scientists in incorporating AI/ML/LLM into existing software products Ability to travel up to 10% of the time Preferred Skills Possess security compliance accreditation such as NIST 800-53, DoD ILs, FedRAMP in higher-classification cloud or air-gapped environments and have experience supporting organizations to obtain accreditation Experience with fast-moving software technology startups and product organizations Knowledge of frontend technologies, specifically React, Three.js Demonstrated experience working in, or close collaboration with DevOps team members and infrastructure technology. Familiarity with QA practice and collaboration. Track record of supporting predictable software delivery with Product Team partners Prior Space and Aerospace Industry experience is a bonus but not required Proficient in integrating complex external systems with API’s Experience with simulation technologies like HLA/DIS *These skills are guidelines, not hard and fast rules. You don’t have to meet every qualification listed- if your skills are transferable and you meet the minimum requirements, we encourage you to apply. Location: Remote, US Classification: Full-time Exempt (computer employee exemption) US-based Candidates: we are currently only able to hire residents of the following U.S. states: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, and WI. We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

The Site Reliability Engineer will manage the telescope network IT infrastructure and ensure the reliable operation of Slingshot’s global sensor network. This includes automating workflows, monitoring system health, and collaborating with engineers to resolve critical issues. | Candidates must have a bachelor's degree in a related field and proficiency in administering Linux and Windows servers. Experience with scripting and a customer-success-driven approach are also required. | What You’ll Do: In this role you will support Slingshot’s growing program in space systems and networks by playing a key role in the reliable and efficient operation of Slingshot’s global sensor network and production of high-quality space situational awareness data and information products. You will also be responsible for assisting with the Networks and Office infrastructure in our physical locations in Colorado. You will be responsible for these systems as well as act as a backup escalation point for the Corporate IT team. Slingshot Aerospace cares deeply about our commitment to company values, mission, and purpose. The core competencies we will be looking to identify include intellectual agility, ability to develop innovative solutions, leadership, performance-orientation, and industry expertise. Position Responsibilities: Manages telescope network IT infrastructure, including Windows PCs, virtualized hosts, observatory control software, and Linux servers. Automation, process optimization, and innovative solutions to streamline operations and drive efficiency. This role requires identifying inefficiencies, automating workflows, and delivering impactful improvements that align with business goals and minimize downtime in our systems Strong communication and collaboration abilities. Develop and deploy scalable systems that align with organizational growth, ensuring reliability, efficiency, and seamless integration across platforms. Deploy tools to improve monitoring of critical telescope network computing system resources, including CPU capacities, disk capacities, operational Linux and Windows processes, network activity, etc. Knowledge and troubleshooting experience in various Dev environments Support security and VPN tools such as Palo Alto products or similar as an escalation point. Deploy additional system recovery processes and ensure that the recovery process documentation is defined and up to date for each system. Help monitor the health of remote telescope observatory sites, including sensor health, site network health, and sensor control hardware/software health. Work closely with Slingshot’s engineers to determine and implement resolutions to critical issues. Act as liaison between Slingshot’s field engineers and space teams and remote observatory hosts, as needed. Monitor the security of critical telescope network components, e.g., by monitoring system logs and intrusion detection system logs, and defining alerting rules and implementing these rules in log server automation scripts. Implement security compliance policies, including applying patches and fixes, and updating vulnerability and virus detection software. Liaison with Slingshot’s business operations department regarding supply chain management of the telescope network hardware. Document critical systems administration workflows and processes. Ensure our systems are secure and compliant. This role will require on-call responsibilities as the business needs requires. Monitor and maintain remote observatory sites, including sensor health, network connectivity, and control systems Implement and maintain system monitoring tools for critical resources (CPU, disk capacity, processes, network activity) Develop and deploy scalable systems that ensure reliability and seamless integration across platforms Monitor security of telescope network components through system logs and intrusion detection Implement and maintain security compliance policies, including patch management and vulnerability detection Create and implement Role-Based Access Control (RBAC) across IT and Space IT systems Deploy and maintain system recovery processes Create and maintain comprehensive recovery documentation for all systems Document critical systems administration workflows and processes Establish and maintain change management procedures Work directly with Slingshot engineers to resolve critical issues Serve as liaison between field engineers, space teams, and remote observatory hosts Identify and implement automation opportunities to streamline operations Develop innovative solutions to improve efficiency and minimize system downtime Optimize workflows to align with business goals and organizational growth Additional Requirements Maintain strong communication and collaborative relationships with cross-functional stakeholders Provide troubleshooting support across various development environments Participate in on-call rotation as business needs require Perform other duties as assigned (not to exceed 10% of primary responsibilities) Pre-Requisites Must be eligible to obtain or maintain US Government Security Clearance Minimum Requirements Bachelor's degree in information technologies, Computer Networking, Computer Engineering, Electrical Engineering, Computer Science, a related field or equivalent experience Proficiency with administering Linux and Windows servers Experience with developing scripts in at least one of the following: Bash, shell, Python Ability to learn new technologies Customer-success-driven, hands-on, action-oriented Preferred Skills Experience with network design and operations, including Palo Alto and Cisco equipment. Experience with network security, including firewalls, IPS, and IDS systems. Experience with cloud infrastructure (preferably AWS) and virtualization (XenServer, ESXi) technologies. Experience or a keen interest in learning about various Linux packages (Alma, etc.) and databases (e.g., Ceph, Solr, MongoDB). Experience with developing applications in at least one of the following: Python, Java, C++. Experience or a keen interest in learning about telescope hardware and software systems. These skills are guidelines, not hard and fast rules.. You don’t have to meet every qualification listed - if your skills are transferable and you meet the minimum requirements, we encourage you to apply. Location: Remote, USA Salary: $130,000 - $180,000 Classification: Full time Exempt (learned professional exemption) US-based Candidates: we are currently only able to hire residents of the following U.S. states: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, and WI. We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.

Manage cloud security implementation for multiple environments and design secure software development practices. Ensure security is integrated into the software development lifecycle and provide ongoing support for critical services and applications. | Candidates must have an active TS/SCI clearance and a minimum of 3 years of experience in a DevSecOps role. Experience with cloud technologies, container security, and programming languages is essential. | What You’ll Do: As a DevSecOps Engineer, you will manage the cloud security implementation for multiple cloud environments to include AWS, Azure, and classified platforms. You will also be responsible for designing, implementing, and maintaining secure software development practices and tools for Slingshot’s software development lifecycle. This role is a 12-month fixed-term contract. Slingshot Aerospace cares deeply about our commitment to company values, mission, and purpose. The core competencies we will be looking to identify include: intellectual agility, ability to develop innovative solutions, leadership, performance orientation, and industry expertise. Position Responsibilities: Executes all position responsibilities in alignment with Slingshot’s core values, mission, and purpose Work within Engineering teams to interweave security with the scalability, performance, reliability, and functional requirements to virtualized/cloud computing solutions Leverage industry best practices and experience to ensure that security is baked into deliverables from the start and that each product and program fully embrace a DevSecOps and “shift-left on security” mentality Develop automated build and test pipeline strategies including aspects of security and compliance to ensure viability of cloud deployment solutions Secure and manage cloud-native resource on providers like AWS and Azure through infrastructure-as-code and compliance-as-code Administer and support developer and user access to cloud resources Leverage observability tools to monitor security metrics for applications virtualized resources Participate in Agile software develop and deployment processes Provide ongoing support for the services and applications that are critical to our business needs Communicate methods, findings, and hypotheses with stakeholders Perform other duties as assigned (to be less than 10% of the responsibilities listed above) Pre-Requisites Must have an active TS/SCI clearance or be eligible and willing to obtain one Minimum Requirements 3+ years of professional experience in a DevSecOps or similar role Experience with container security practices within Kubernetes and Helm Experience with security configuration of AWS Cloud Native Technologies Deep working knowledge of version control (Git) and CI/CD tools (GitHub Actions) Experience with infrastructure as code frameworks including Terraform Good understanding of networking, routing, firewalls, VPN, SSL Knowledge of programming/scripting languages (Python, Bash, JavaScript) used in DevSecOps life cycles Keen attention to detail and industry best practices pertaining to privacy, security, and compliance Skill and comfort working in a rapidly moving startup environment with dynamic objectives and iteration with users Preferred Skills Degree in computer science or related field Active TS/SCI clearance Experience with asynchronous processing and/or data streaming technologies, such as AWS Kinesis, Kafka, or ZeroMQ, KNative Experience with securing data platforms, microservices, distributed systems and deploying into classified cloud environments Experience with security audits/certifications such as SOC 2 Type 2, FedRAMP, CMMC 2.0, ISO 27001 Early-stage data-centric startup experience *These skills are guidelines, not hard and fast rules. You don’t have to meet every qualification listed- if your skills are transferable and you meet the minimum requirements, we encourage you to apply. Location: Remote, United States Salary Range: $129,502 - $144,444 US-based Candidates: we are currently only able to hire residents of the following U.S. states: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, and WI. We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.