
Cloud Native Software Engineer, SME
Posted Oct 14

Posted Oct 14
This is a fully remote position, open to applicants in United States.
• Develop and expand GDIT’s AI-assisted Software Development capabilities.
• Create strategies, operational models, practices, and technical foundations for AI-driven software design, development, testing, and delivery.
• Propel the growth of Mission Software and ensure excellence in delivery.
• Assist in complex, large-scale, and strategic initiatives while broadening the Mission Software portfolio.
• Assess and streamline the use of AI-enabled tools and platforms throughout the organization.
• Act as the internal authority on the utilization and integration of AI-enabled tools.
• Establish best practices and implement AI-assisted development as a core enterprise capability.
• Enhance the skills of engineers and promote organizational adoption.
• Design, develop, and showcase innovative proof-of-concept solutions to address customer challenges.
• Provide technical leadership in solution architecture, market strategies, organizational change management, and hands-on engineering.
• Formulate and communicate technical solutions for complex Mission Software growth initiatives.
• Recruit, mentor, and develop engineers in AI-assisted development methodologies.
• Produce developer education programs, playbooks, best practices, and foster communities of practice.
• Offer architectural insights regarding the influence of AI on software engineering design patterns, quality models, and delivery processes.
• Drive the technical vision, architecture standards, and execution for intricate, multi-team programs.
• Oversee the entire SDLC and product lifecycle delivery within agile and hybrid settings.
• BA/BS in Computer Science, Engineering, or a related field (or equivalent experience).
• Over 15 years of progressive experience in software architecture and engineering.
• Proven experience in leading architecture and engineering best practices across complex teams.
• Demonstrated success in developing mission software products, capability development, and presenting solutions to clients.
• Must be a US Person.
• Strong grasp of AI-enabled development workflows, prompt and harness-engineering patterns, code-generation improvement loops, safety/quality validation, and architectural impacts.
• Capability to identify, monitor, and articulate ROI related to AI and agentic automation.
• Experience in evaluating organizational AI-development maturity and defining roadmaps, capability models, adoption strategies, and operational frameworks.
• Proficient in assessing, selecting, and implementing AI-enabled development tools, such as Anthropic Claude Code, OpenAI Codex, Google Gemini, and GitHub Copilot.
• Practical experience with LLM-based frameworks and retrieval-augmented generation (RAG).
• Ability to architect, engineer, and present customer proof-of-concept solutions.
• Experience in developing and articulating technical solutions for complex Mission Software growth initiatives.
• Background in hiring, mentoring, and scaling engineers in AI-assisted development techniques.
• Experience in creating developer education programs, playbooks, best practices, or communities of practice.
• Functioning as an internal Subject Matter Expert (SME) for AI-related software engineering design patterns, quality models, and delivery processes.
• Ability to drive the technical vision, architecture standards, and execution across complex, multi-team programs.
• Experience leading full SDLC and product lifecycle delivery in agile and hybrid environments.
• Knowledge of CI/CD, DevSecOps, TDD/BDD, automation frameworks, and quality engineering practices.
• Experience developing solutions within distributed, cross-functional, or geographically diverse teams.
• Full-stack development experience across various programming languages, including Java, JavaScript, Python, and .NET.
• Familiarity with modern front-end and back-end frameworks such as Angular, React, Spring Boot, Django, and Next.js.
• Experience integrating solutions across operating systems like Linux and Unix and PaaS platforms such as RHEL and OpenShift.
• Extensive knowledge of API/web service design, secure coding standards, and scalable architectural patterns.
• Preferred: Understanding of Federal acquisition and security compliance, including implications for FedRAMP and ATO.
• Preferred: Experience in building an enterprise AI-assisted development capability or platform offering.
• Preferred: Experience in transforming internal capabilities into customer-facing solutions or services.
• Preferred: Familiarity with cloud-native platforms such as AWS, GCP, and Azure along with related AI/ML services.
• Preferred: Experience managing vendor relationships with OEMs and ISVs.
• Preferred: Expertise in CI/CD automation, Infrastructure as Code (IaC), Policy as Code, and governance automation frameworks such as Terraform and Ansible.
• Ability to convey technical concepts to non-technical stakeholders and influence senior leadership.
• Ability to remain updated with emerging trends in AI, development, and architecture while driving organizational adoption strategies.
• Extensive medical plan options, including those with Health Savings Accounts.
• Choices of dental plans.
• Vision plan availability.
• 401(k) plan featuring company matching.
• Flexible work weeks where feasible.
• Leave options including vacation, sick, personal, holiday, paid parental, military, bereavement, and jury duty leave.
• Typically, 15 days of paid leave are offered per calendar year.
• 10 paid holidays each year.
• Up to 160 hours of paid family leave within a rolling 12-month period for eligible employees.
• Short- and long-term disability benefits.
• Life insurance coverage.
• Accidental death and dismemberment insurance.
• Personal accident insurance.
• Critical illness insurance.
• Business travel and accident insurance.
• AI-powered career tool that identifies career steps and learning opportunities.
• Internal mobility team support.
• An award-winning culture of innovation and a military-friendly work environment.
• Opportunities for remote work / telecommuting.
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