Software Developer

Quantum Sky•Remote,

2d•$150,000 - $170,000•Remote

About The Position

Quantum Sky is hiring a Software Developer to build and enhance cloud-based cybersecurity and compliance applications for highly regulated environments. This is a hands-on development role focused on Python/Django and Go (Golang) within a modern AI-assisted, DevOps, CI/CD, and Infrastructure as Code (IaC) environment. The ideal candidate is a strong software engineer with experience developing applications in FISMA/FedRAMP environments and familiarity with NIST security and compliance frameworks. They are comfortable owning software across the full development lifecycle—from design and development through CI/CD, deployment, and production operations—and can effectively work across software development, cloud infrastructure, cybersecurity, and compliance.

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.
Programming experience with Go (Golang) 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.
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.
Experience working with Infrastructure as Code, using technologies such as Terraform, CloudFormation, or similar tools to support repeatable and automated cloud deployments.
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.
Strong analytical, problem-solving, and communication skills with the ability to collaborate across software engineering, product, cloud, cybersecurity, and compliance teams.
US Citizenship with the ability to obtain a security clearance

Nice To Haves

Familiarity with Kubernetes or managed container platforms is highly desirable.
Bachelor's degree in Computer Science, Software Engineering, Information Technology, Cybersecurity, or a related technical field.
Experience developing software for cybersecurity, cloud security, GRC, compliance, or continuous monitoring use cases.
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 observability and monitoring platforms such as CloudWatch, OpenSearch, Splunk, Datadog, New Relic, or similar technologies.
Experience with advanced AI-assisted or agentic software engineering workflows, including AI-driven testing and validation, code analysis, workflow automation, or agent orchestration.
Knowledge of the NIST Risk Management Framework (RMF), NIST SP 800-53 Revision 5, FedRAMP, and FISMA security and compliance requirements.
Experience translating cybersecurity or regulatory requirements into application features, automation, workflows, integrations, or reporting capabilities.
Familiarity with vulnerability management, POA&M management, security controls, evidence collection, and continuous monitoring concepts.
Experience integrating applications with security tools, cloud APIs, vulnerability scanners, SIEM platforms, or other cybersecurity technologies.
Experience developing and operating software supporting federal government, enterprise, or other highly regulated environments.
DOD/DoW Secret or Top Secret clearance is preferred.

Responsibilities

Design, develop, test, and maintain full-stack application capabilities using Python and Django, with an emphasis on secure, scalable, maintainable, and production-ready software.
Develop backend services, APIs, integrations, automation, and supporting tools using Python, Go (Golang), JavaScript/TypeScript, and other appropriate technologies.
Build new product capabilities and enhance existing functionality across cloud-based cybersecurity and compliance applications, including backend services and user-facing application features.
Design and implement integrations with cloud services, security technologies, vulnerability management platforms, monitoring solutions, and third-party systems using REST APIs and structured data.
Develop capabilities that ingest, process, correlate, and present security and compliance information while automating workflows such as security monitoring, vulnerability management, evidence collection, control management, and reporting.
Work within and contribute to a DevOps and Infrastructure as Code (IaC) environment, supporting the provisioning, configuration, deployment, and operation of application infrastructure using Terraform, CloudFormation, or similar technologies.
Develop, maintain, and improve CI/CD pipelines and automated deployment processes that support application builds, automated testing, security validation, and reliable deployment across development, staging, and production environments.
Build, deploy, and support containerized and cloud-native applications, collaborating with cloud and DevOps engineers to improve application scalability, reliability, observability, security, 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 and DevSecOps practices throughout the application lifecycle and collaborate with cybersecurity and compliance subject matter experts to translate security requirements into practical software capabilities.