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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and deploying scalable enterprise software and APIs, with a strong focus on cloud-native architectures and compliance with cybersecurity standards. Proven ability to integrate AI capabilities and lead technical teams while applying best practices in software development and automation.
Highest-signal resume keywords
Software EngineeringCloud-Native Application DevelopmentAPI DevelopmentGenerative AI IntegrationAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaC#JavaScriptTypeScriptMicroservicesSoftware ArchitectureAutomationContainerizationCI/CD
Soft Skills
Problem-SolvingCommunicationTechnical WritingCollaborationMentorship
Tools & Technologies
AWSAzureGCPAgileScrumKanban
Certifications & Qualifications
U.S. CitizenshipSecret Security Clearance
Industry Keywords
Enterprise SoftwareCybersecurityAI-Enabled CapabilitiesDecision-Support ToolsOperational Insight
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityDistributed SystemsGoogle Cloud PlatformJavaJavaScriptMicroservicesPythonTypeScript
About the role
Key responsibilities & impact- Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices
- Design secure, cloud-native software architectures and contribute to architecture decisions across the stack
- Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies
- Apply engineering best practices including source control, automated testing, code review, and documentation
- Ensure compliance with secure software development standards and Government cybersecurity requirements
- Support monitoring, troubleshooting, and operational sustainment of production systems
- Build and integrate AI-enabled capabilities, including generative AI, LLMs, RAG, and agentic workflows, into production systems
- Apply AI-assisted development tools to improve engineering velocity and code quality
- Evaluate emerging AI and automation technologies and drive their practical adoption
- Translate complex operational requirements into production-ready software while working directly with analysts and stakeholders
- Build forecasting, modeling, and decision-support tools that turn data into operational insight
- Provide technical leadership and mentorship and help shape engineering standards across the team
Requirements
What you’ll need- U.S. Citizenship with the ability to obtain a Secret Security Clearance
- Bachelor's degree in a related technical field
- 15 years of directly related professional experience
- Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines
- Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software
- Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services
- Experience developing APIs, distributed systems, microservices, or service-oriented architectures
- Experience with software architecture, object-oriented design, and software development lifecycle best practices
- Experience working in Agile software development environments, including Scrum or Kanban
- Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications
- Experience integrating enterprise systems and developing mission-focused software solutions
- Strong problem-solving, communication, technical writing, and collaboration skills
- Preferred: Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development
- Preferred: Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions
- Preferred: Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities
Benefits
Comp & perks- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Wellness Resources