Principal Application Software Engineer

Reston, VA · Austin, TX · Seattle, WAFull-timePosted Jul 16, 2026

Principal Application Software Engineer

Position Overview

Oracle Government Defense & Intelligence is seeking a Principal Application Software Engineer to design, build, and operate secure application services for sovereign and government cloud environments. This role is a senior technical contributor who leads complex design and implementation work, guides engineers, improves application development practices, and resolves complex production and integration issues across distributed systems. This role will serve as a technical lead for AI-enabled software capabilities, including secure application architecture, governed data integrations, evaluation tooling, and production-ready operational workflows.

Who We Are

Oracle Sovereign Cloud builds and operates secure cloud capabilities for mission-critical government workloads. Our engineers build resilient services, automation, and integrations that support cloud operations in highly secure environments.

Key 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.

Minimum Qualifications

U.S. Citizenship with active US Government security clearance, TS/SCI with Poly, at hire.

11 years of software development experience; or bachelor's degree in a relevant technical field and 7 years of software development experience; or master's degree in a relevant technical field and 5 years of software development experience; or doctorate in a relevant technical field and 3 years of software development experience.

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 Qualifications

11 years of software development experience or equivalent advanced degree plus experience.

3 years of experience with cloud platforms such as Oracle 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.

Experience building production AI-enabled software, including secure application integrations, evaluation frameworks, workflow automation, model-serving integrations, operational data platforms, or observability for AI-enabled systems.

Key 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.

Minimum Job Qualifications
Education and/or Experience:
11 years of experience in software development

Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 7 years of experience in software development

Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 7 years of experience in software development

Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development

Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development

Job Skills:
-Same skills as prior level plus;
-Data Analysis: Demonstrated ability to analyze and interpret data to produce actionable business insights.
-Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery.
-Automation: Demonstrated ability in or knowledge of automation, including designing, implementing, and managing automated tools, processes, or systems to streamline operations.
-Compliance: Demonstrated knowledge of and adherence to regulatory, legal, and organizational compliance requirements.
-Quality Assurance: Demonstrated ability in or knowledge of quality assurance, including ensuring adherence to standards and implementing quality control measures.
-Scripting Languages: Demonstrated ability in or knowledge of scripting languages, including writing and maintaining scripts to improve system efficiency.
-Software Test Plans: Demonstrated ability to develop and execute effective software test plans to validate product quality.
-User Experience Development: Demonstrated ability in or knowledge of user experience development, including designing intuitive and effective user interfaces and content.
-Code Review: Demonstrated ability to conduct in-depth code reviews for software quality assurance.
-Embedded Systems: Demonstrated ability to develop embedded systems, balancing hardware and software for optimal performance.
-Software Estimation: Demonstrated ability to provide accurate software effort and complexity estimates for project planning and scheduling.
Coding Experience:
6 years of experience with programming and/or scripting languages (e.g., SQL, C/C++, JavaScript).
Database Experience:
4 years of experience with databases.

Preferred Job Qualifications
Education and/or Experience:
11 years of experience in software development

Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development.
Budget Experience:
1 year of experience working with operating budgets and/or project financials.
Cloud Platforms Experience:
3 years of experience with cloud platforms (e.g., AWS, Azure, Google, Oracle Cloud).