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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI-driven software engineering, cloud architecture, and DevSecOps, with a strong focus on leading cross-functional teams and implementing secure, scalable platforms. Proven ability to translate complex transformation needs into actionable technical strategies and measurable outcomes.
Highest-signal resume keywords
AI-Driven Software EngineeringCloud ArchitectureDevSecOpsTechnical LeadershipCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSoftware Development LifecycleInfrastructure as CodeAutomated TestingObservabilityIncident ResponseAI CodingSpecification-Driven DevelopmentReusable PatternsSecurity Validation
Soft Skills
Technical CommunicationMentoringInfluencing Senior LeadersBusiness AcumenProblem Solving
Tools & Technologies
GitHub CopilotAmazon Q DeveloperAmazon BedrockLangChainGitHubGitLabJiraConfluenceServiceNowIBM Watsonx.Governance
Industry Keywords
AI-DLCEngineering StandardsProduction-ReadinessRisk ManagementChange ManagementAgent ToolsAPI ManagementHuman-in-the-Loop ControlsQuality GatesEnterprise Transformation
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsPythonSDLCServiceNow
About the role
Key responsibilities & impact- Lead the engineering discipline and provide hands-on technical direction for association-wide AI-DLC adoption
- Translate AI-DLC transformation needs into prioritized engineering requirements and guide the AI Platform engineering team
- Design AI-driven workflows across requirements, architecture, planning, implementation, testing, security validation, release authorization, deployment, and production feedback
- Establish human decision gates, engineering standards, reference architectures, reusable patterns, and production-readiness expectations
- Build reference implementations and integrate AI-DLC with repositories, development environments, CI/CD pipelines, testing, security, change, release, and monitoring capabilities
- Optimize platform capabilities through reusable services, components, APIs, agent tools, templates, instructions, evaluation frameworks, and integration patterns
- Partner with Lines of Business, Association Functions, IT Governance, API Management, security, risk, architecture, and engineering teams
- Embed policies, standards, controls, approvals, evidence collection, and exception handling into AI-driven workflows
- Apply AWS, software engineering, cloud, DevSecOps, and Site Reliability Engineering expertise
- Define secure patterns for agent context, tools, APIs, knowledge, identity, permissions, execution environments, failure handling, and output validation
- Develop automated evaluations and quality gates for AI-generated requirements, designs, code, tests, security findings, and release artifacts
- Use implementation feedback and production insights to reduce manual effort, rework, duplication, and inconsistent practices
- Define measures for adoption, engineering capacity, cycle time, quality, automation, control effectiveness, developer experience, and business outcomes
- Guide technical decisions involving architecture, dependencies, risks, governance, integrations, platform constraints, and capability sequencing
- Lead cross-functional engineering efforts, mentor engineers, and advise the executive accountable for AI-DLC
- Ensure risks associated with business activities are identified, measured, monitored, and controlled according to risk and compliance policies
Requirements
What you’ll need- Bachelor's degree in a related field; OR four years of relevant education and/or experience
- Eight years of broad software engineering, platform engineering, cloud engineering, DevOps, developer productivity, or related technology experience
- Three years of demonstrated technical leadership for complex, cross-functional, portfolio-level, or enterprise engineering initiatives
- Six years of experience delivering technology solutions across multiple phases of the software development lifecycle
- Experience leading an enterprise transformation involving AI-assisted development, agentic software engineering, AI-native development, or AI-driven software delivery
- Experience implementing AI across multiple SDLC phases
- Extensive experience designing and implementing secure, resilient, scalable, observable, and maintainable software platforms or distributed systems
- Ability to establish technical direction, reference architectures, engineering standards, reusable patterns, platform capabilities, and production-readiness practices
- Advanced software engineering experience in Python or another modern programming language
- Advanced experience with public cloud architecture, DevSecOps, Infrastructure as Code, CI/CD, automated testing, observability, incident response, and Site Reliability Engineering
- Experience integrating new engineering capabilities into established software development processes, delivery pipelines, security controls, and operational practices
- Ability to lead architecture, code, design, security, control, and implementation reviews and resolve complex cross-system technical issues
- Ability to translate ambiguous transformation needs into technical strategy, prioritized requirements, solution architectures, implementation roadmaps, and measurable outcomes
- Experience influencing senior leaders and communicating complex technical decisions, risks, dependencies, sequencing considerations, and recommendations across organizational boundaries
- Strong business acumen in technology investment, engineering productivity, operational management, cost optimization, risk management, and organizational change
- Experience mentoring experienced engineers and leading technical work across teams without relying exclusively on direct reporting authority
- Hands-on experience with AI coding and software engineering tools such as GitHub Copilot, Amazon Q Developer, Kiro, Claude Code, or comparable enterprise development assistants
- Experience with specification-driven development, structured requirements, repository-based context engineering, reusable agent instructions, coding standards, and machine-readable engineering artifacts
- Experience creating or integrating specialized coding agents, custom agents, agent skills, agent tools, reusable prompts, repository instructions, hooks, and workflow steering rules
- Experience integrating AI agents with repositories, issues, pull requests, code review, automated testing, security scanning, build pipelines, deployment pipelines, and release controls
- Experience with Amazon Bedrock, Amazon Bedrock AgentCore, or comparable services
- Experience with agent orchestration frameworks such as LangGraph, AWS Strands Agents, LangChain, Semantic Kernel, or comparable frameworks
- Experience implementing Model Context Protocol, secure agent tools, API-based integrations, agent identity, delegated authorization, least-privilege access, or sandboxed execution
- Experience designing human-in-the-loop controls, automated evaluations, release thresholds, audit trails, traceability, and evidence collection
- Experience integrating AI-enabled delivery with GitHub, GitLab, Jira, Confluence, Rovo, ServiceNow, API management platforms, knowledge repositories, workflow engines, and developer portals
- Experience with IBM watsonx.governance or comparable AI governance capabilities
- Experience defining measures for AI-DLC adoption and performance
- Experience conducting forward-deployed or embedded engineering engagements
- Experience building reusable services, APIs, templates, SDKs, platform components, and implementation accelerators
- Experience leading technical change across a federated enterprise
- Demonstrated ability to remain hands-on while influencing engineering teams, architects, governance partners, product leaders, and senior executives
- Must not require visa sponsorship or immigration support now or in the future
Benefits
Comp & perks- Comprehensive medical, dental and vision plans
- 401(k)
- Pension
- Life insurance
- Parental benefits
- Adoption assistance
- Paid time off program
- Paid holidays
- 16 paid volunteer hours
- Various wellness programs
- Career path planning
- Continuing education
- Pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
- Remote or hybrid flexibility may be available for active-duty military spouses, consistent with applicable policy and business needs