Senior Software Engineer

Quantum Sky is hiring a Senior Software Engineer to build agent-powered applications for network automation and mission platforms. The role develops full-stack software, AI agents, APIs, and generative user interfaces, while supporting CI/CD, cloud-native deployment, and production operations.

Responsibilities:

• Design, develop, test, and maintain full-stack application capabilities using Python and Go, with an emphasis on secure, scalable, maintainable, and production-ready software
• Develop backend services, APIs, integrations, automation, and supporting tools using Python, Go, JavaScript/TypeScript, and other appropriate technologies
• 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

Requirements:

• 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
• 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
• US Citizenship with the ability to obtain a security clearance
• 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
• DOD/DoW Secret or Top Secret clearance