Principal Application Software Engineer

Job summary

Principal Application Software Engineer Position Overview Ora*** Government Defense & Intelligence is seeking a Principal Application Software Engineer to design, build, and operate secure application services for sovereign and government cloud environments.

Qualifications

• U.
• Citizenship with active US Government security clearance, TS/SCI with Poly, at hire.
• 6 years of experience with programming and/or scripting languages.
• 4 years of experience with databases.
• Experience designing, building, testing, and operating distributed application services.
• Demonstrated experience with code review, automation, quality assurance, secure development practices, and technical mentorship.
• Preferred
• 11 years of software development experience or equivalent advanced degree plus experience.
• 3 years of experience with cloud platforms such as Ora*** Cloud Infrastructure, AWS, Azure, or Google Cloud.
• 1 year of experience working with operating budgets and/or project financials.
• Experience with RESTful APIs, microservices, service-oriented architecture, CI/CD, containers, Kubernetes, Linux, observability, and incident response.
• Experience delivering software in regulated, classified, sovereign, or air-gapped environments.

Responsibilities

• Lead design and implementation of application features, services, APIs, and integrations aligned to secure, scalable architecture.
• Develop and guide new application features and enhancements, including design specifications, implementation plans, and technical documentation.
• Lead code reviews across multiple application areas and coach engineers on quality, maintainability, security, and operational readiness.
• Troubleshoot and resolve complex application, API, service-to-service, integration, and production issues.
• Contribute to architecture decisions, scalability strategies, performance optimization, and periodic technical reviews.
• Implement comprehensive testing, observability, monitoring, error logging, and debugging practices.
• Collaborate with product, program, QA, operations, security, and customer-facing teams to align technical delivery with mission and business needs.
• Mentor engineers and contribute to hiring, technical standards, and continuous improvement across the team.
• Design and implement AI-enabled software capabilities, including secure service integrations, workflow orchestration, evaluation tooling, operational data access, and production application features.
• Define engineering patterns for testing, validating, monitoring, and operating AI-enabled software, including reliability, latency, quality, failure handling, auditability, and safe degradation.
• Lead technical design for governed access to approved operational data sources and ensure AI-enabled features provide evidence-grounded, supportable outputs.
• Mentor engineers on secure implementation, observability, debugging, and operational readiness for AI-enabled software in sovereign or restricted environments.

Degrees

Industry

Company size

Contract length

Security clearance