Technology Transformation Experience Engineer

CC Pace Systems•Vienna, VA

23h•Hybrid

About The Position

Our client is seeking a Technology Transformation Engineer to support Developer 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. This is not a traditional engineering role. It's a chance to shape our SDLC processes across 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.

Requirements

Bachelor's Degree in an engineering field such as Computer Science, Data Science, Operations Research, or 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 and 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 with AI-powered development tooling such as GitHub Copilot, OpenAI API integrations, or AI-assisted testing frameworks
Solid understanding of software delivery metrics (DORA, SPACE framework) and how to improve them

Nice To Haves

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 roles
Experience with Agile methodologies (Kanban and SCRUM)

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 and maintain the yearly roadmap and communicate the plan to all stakeholders through various forums such as lunch and learns, roadshows, virtual walk-throughs, demo sessions, and infographic posters
Create and maintain executive leadership status reports that map to the 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 articulate how DevEx and AI-SDLC solutions solve end-user problems and add value
Pilot and test new DevEx and AI-enabled features prior to release to engineering teams
Create documentation, demos, and notifications to announce new DevEx and AI features
Develop innovative approaches 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
Conduct surveys to assess software engineer satisfaction