Build new product capabilities and enhance existing functionality across our network automation and mission platform applications, including backend services and user-facing application features.
Build AI agent systems that use tools, call external services, and reason over structured and unstructured data.
Integrate agents with tools and data sources using modern agent-tool protocols, including the Model Context Protocol (MCP).
Design and build modern front-end applications, including generative UI, where components and layout are constructed dynamically based on user intent.
Design and implement integrations with cloud services, network automation tools, monitoring solutions, and third-party systems using REST APIs and structured data.
Develop capabilities that ingest, process, and correlate operational and telemetry data, and use agents to automate workflows across the platform.
Work within a CI/CD and Infrastructure-as-Code environment maintained by the platform team, understanding how your code is provisioned, deployed, configured, and operated in production.
Contribute to CI/CD pipelines that support automated builds, automated testing, and reliable deployment across development, staging, and production environments.
Build and deploy containerized, cloud-native applications, working closely with the Cloud & Platform Engineer on scalability, reliability, observability, and performance.
Use AI-assisted software development tools such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or similar technologies as part of day-to-day engineering workflows to accelerate coding, debugging, refactoring, testing, documentation, and code analysis.
Apply engineering judgment when working with AI-generated code and recommendations, validating outputs for correctness, security, maintainability, performance, and alignment with engineering standards.
Troubleshoot complex application, integration, deployment, and production issues, identify root causes, and implement sustainable solutions.
Participate throughout the software development lifecycle, including architecture and design discussions, code reviews, testing, documentation, release management, deployment, and continuous improvement of engineering practices.
Apply secure software development practices throughout the application lifecycle, and collaborate with security and compliance staff to translate requirements into practical software capabilities.
Qualifications
Required
Demonstrated professional experience designing, developing, and supporting production software applications.
Strong hands-on software development experience with Python, including professional experience developing applications using Django, FastAPI, or a comparable modern framework.
Programming experience with Go and familiarity with JavaScript/TypeScript or other modern application development languages.
Experience designing, developing, and consuming RESTful APIs and integrating applications with external systems and services.
Experience with relational databases, data modeling, backend application architecture, and modern front-end web development technologies.
Experience building AI agent or agentic-workflow systems: tool use, multi-step orchestration, and integration with large language models.
Experience with modern front-end development, including at least exposure to generative or AI-driven UI.
Hands-on experience working in cloud environments such as AWS, GCP, or Azure, with an understanding of how applications are deployed, configured, secured, monitored, and operated in production.
Experience working within a CI/CD and DevOps-based software delivery environment, including automated builds, testing, deployments, version control, and release processes.
Familiarity with Infrastructure as Code (Terraform, CloudFormation, or similar), sufficient to work effectively alongside the engineers who own it.
Experience with Docker, containers, and cloud-native application deployment. Familiarity with Kubernetes or managed container platforms is highly desirable.
Demonstrated experience using AI-assisted software development tools such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or comparable technologies as part of day-to-day professional software development.
Ability to independently troubleshoot software, integration, deployment, and production issues and develop secure, reliable, and maintainable solutions.
Comfort operating in a high-ambiguity, early-stage product environment: able to ask clarifying questions, propose trade-offs, and iterate without fully specified requirements.
Strong analytical, problem-solving, and communication skills with the ability to collaborate across software engineering, product, cloud, and platform teams.
Desired
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
Direct experience with the Model Context Protocol (MCP) or comparable agent-tool integration standards.
Experience with agent orchestration frameworks (for example LangChain, LlamaIndex, CrewAI, or comparable).
Experience developing software for network operations, telemetry, or mission/tactical systems.
Experience with AWS and/or GCP cloud-native services, including serverless, container, database, messaging, monitoring, identity, and security services.
Hands-on experience with technologies such as Terraform, Docker, Kubernetes, GitHub Actions, GitLab CI, AWS CodePipeline, CloudFormation, or comparable DevOps and cloud automation technologies.
Experience with modern JavaScript/TypeScript frameworks (React or similar), including streaming UI patterns.
Familiarity with vector databases, retrieval-augmented generation, or other applied large-language-model patterns.
Experience with observability and monitoring platforms such as CloudWatch, OpenSearch, Splunk, Datadog, New Relic, or similar technologies.
Knowledge of the NIST Risk Management Framework (RMF), NIST SP 800-53 Revision 5, FedRAMP, and FISMA security and compliance requirements.
Experience translating operational or mission requirements into application features, automation, workflows, integrations, or reporting capabilities.
Prior experience supporting a Defense Information Systems Agency, Army, Air Force, or other Department of War program.
Experience developing and operating software supporting federal government, enterprise, or other highly regulated environments.
Clearance
US Citizenship with the ability to obtain a security clearance
DOD/DoW Secret or Top Secret clearance is preferred
Location
Remote, US. Hybrid-remote in Reston, VA (preferred)
About Quantum Sky
Compensation
Compensation is unique to each candidate and relative to the skills and experience they bring to the position. The salary range for this position is typically between $170,000-$195,000. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range.
Benefits
Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and parental leave.
The world the mission operates in is going post-quantum, contested, and machine-speed. Quantum Sky engineers the advantage across cyber, networks, software, and quantum because the mission demands dominance, not parity. We don't follow the map. We draw it.
At Quantum Sky, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamQuantumSky?
Quantum Sky Engineering LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.
