Technology Transformation Engineer

NFCU is seeking a Technology Transformation Engineer to support NFCU s Developer s Experience (DevEx) and AI-enablement initiatives. Our mission is to accelerate our software engineers reduce cognitive load and create outstanding developer experience. As the lead Technology Transformation Engineer you will play a key role in creating and executing the enterprise change plan for the DevEx and AI-enablement strategy. As part of the DevEx and AI Transformation team you will help shape the next generation of SDLC framework which enables smarter decisions better efficiency and stronger business outcomes.

This is not a traditional engineering role. It s a chance to shape our SDLC processes (High-code and low-code platforms). This is a hands-on senior-level individual contributor role where you will balance strategic vision with tactical execution. You ll partner closely with engineering leadership product teams and other platform engineers to modernize streamline and enhance every part of the development lifecycle from onboarding to deployment.
Key Responsibilities
Collaborate with business and product teams to understand workflows identify pain points opportunities for improvement and define technical requirements.
Lead technical solution development for complex business challenges from concept through deployment.
Create/maintain the yearly roadmap and communicate the plan to all stakeholders in various forums (e.g. lunch and learns roadshows virtual walk-throughs Demo sessions Infographic posters).
Create/maintain executive leadership status reports which maps to roadmap.
Improve and build upon existing production systems guiding the team through operationally engrained workflows and enhancements
Provide technical guidance and mentorship to junior engineers and other team members fostering best practices in design and development.
Ensure scalability and sustainability of solutions by working with IT and enterprise technology teams to move from prototypes to production.
Support user adoption through clear documentation SharePoint sites training and communication.
Clearly tell the story of how DevEx and AI-SDLC solutions solves the end-user problems and add values.
Pilot/test new DevEx and AI-enabled feature prior to release to engineering teams.
Create documentation demos notifications to announce new DevEx and AI features.
Thinking out of the box on new ways to communicate the DevEx and AI roadmap plans.
Build and maintain demos to support adoption of new capabilities.
Quantify the ROI associated with optimizing SDLC workflows.
Performing surveys to assess software engineer satisfaction.
Required Qualifications
Bachelor s Degree in an engineering field such as Computer Science Data Science Operations Research Physics
3 years of professional experience solving complex real-world problems in a customer-facing or business-facing environment using technology and data-driven approaches
Demonstrated ability to lead development of end-to-end software products from concept through design deployment and scaling
Strong project management skills.
Proficiency in Python Java or TypeScript/JavaScript and familiarity with modern frameworks and development tools
Proven track record of engaging directly with business stakeholders translating complex requirements into actionable solutions
Excellent communication skills; able to bridge technical and non-technical discussions effectively
Comfortable working in ambiguous fast-paced environments and prioritizing for maximum business impact
Experience in AI-powered development tooling (e.g. GitHub Copilot OpenAI API integrations AI-assisted testing frameworks).
Solid understanding of software delivery metrics (DORA SPACE framework) and how to improve them.
Preferred Qualifications
Experience in multi-team engineering organizations where developer enablement was a core focus.
Experience leading cross-functional engineering projects in transformation analytics or operations technology
Prior work integrating observability monitoring and logging into developer-facing systems.
Strong understanding of system design principles security and performance optimization.
Prior experience in consulting forward deployed or hybrid engineering/business role.
Experience in Agile methodologies (Kanban and SCRUM) is a plus