Design Systems Engineer

📍 Job Overview

Job Title: Design Systems Engineer

Company: Halliburton

Location: Houston, Texas, United States

Job Type: Full Time

Category: Design Systems Engineering / Frontend Platform Development

Date Posted: April 15, 2026

Experience Level: Experienced Hire (6-10+ years)

Remote Status: On-site

🚀 Role Summary

• Architect and maintain a comprehensive, end-to-end design system pipeline, bridging design tools (e.g., Figma) with production codebases.

• Develop and scale advanced design token infrastructure, ensuring robust transformation, versioning, and distribution mechanisms.

• Integrate emerging AI capabilities, including LLMs like Claude and Figma AI, into the UI development workflow for AI-assisted and AI-generated interfaces.

• Build and manage automation pipelines (CI/CD) for critical design system processes such as token synchronization, component publishing, and system validation.

• Drive multi-framework support (Angular, React, etc.) through a shared, scalable architecture, enhancing developer experience and code consistency across enterprise applications.

📝 Enhancement Note: This role is positioned at the critical intersection of frontend engineering, design systems, and AI-driven development. The emphasis on "next-generation user experience platform" and "AI-assisted and AI-generated interfaces" suggests a forward-thinking approach to UI development within a large enterprise context, requiring a candidate who can not only maintain but also innovate and scale these systems. The specific mention of "Landmark Software & Services" indicates a focus on the digital tools and platforms used within the energy sector.

📈 Primary Responsibilities

• Architect and maintain the full lifecycle of the design system, from initial design concepts through to production code deployment and ongoing iteration.

• Design, implement, and manage scalable infrastructure for design tokens, covering their transformation, versioning, distribution, and consumption across various applications and frameworks.

• Develop and refine integrations between design tools (e.g., Figma), code repositories, and AI-powered tooling to create a seamless workflow.

• Define and implement systems and processes for generating and managing AI-assisted or AI-generated UI elements, ensuring they adhere to established system standards and production-ready requirements.

• Integrate specific AI tools such as Claude, OpenAI models, and Figma's AI capabilities directly into the design and development workflows to enhance efficiency and innovation.

• Build, maintain, and optimize CI/CD pipelines for automated token synchronization, component publishing, and robust system validation, including regression detection.

• Enable and manage support for multiple frontend frameworks (e.g., Angular, React) built upon a unified, shared architectural foundation.

• Develop and deploy internal developer tooling, including CLIs, APIs, and IDE integrations, to significantly improve the developer experience and productivity.

• Establish and enforce mechanisms to ensure continuous alignment between design specifications, production code, and AI-generated outputs over time.

• Collaborate closely with product designers, UX researchers, and software engineers to gather feedback and iteratively evolve the platform based on real-world product usage and team needs.

📝 Enhancement Note: The responsibilities highlight a need for deep technical expertise in frontend development and design systems, coupled with a proactive approach to integrating cutting-edge AI technologies. The emphasis on "end-to-end pipeline," "scalable foundation," and "multi-framework support" points to a role that requires strategic thinking and architectural design, not just component implementation.

🎓 Skills & Qualifications

Education:

Experience:

• 6-10+ years of progressive experience in frontend engineering, design systems development, platform engineering, or a related technical role focused on UI development and consistency.

• Proven track record of building or significantly contributing to scalable design systems, comprehensive token architectures, or robust UI platforms.

Required Skills:

• Strong proficiency in JavaScript and TypeScript, including modern language features and best practices.

• Deep expertise with modern frontend frameworks, particularly React and/or Angular, including their core concepts and ecosystem.

• Demonstrated experience building or contributing to design systems, including component libraries, design token strategies, and style guides.

• Experience working with and designing scalable systems, developing APIs, and implementing automation pipelines (CI/CD).

• Solid understanding of system architecture principles and how to design for maintainability, scalability, and reusability.

Preferred Skills:

• Experience leveraging Figma APIs, developing Figma plugins, or integrating with design tooling ecosystems.

• Experience building internal platforms, command-line interfaces (CLIs), or other developer tooling to enhance productivity.

• Familiarity with multi-framework UI architecture strategies and best practices for managing complexity.

• Proven ability to collaborate effectively and deeply with both design and engineering teams, acting as a bridge between disciplines.

• Experience with CI/CD tools and practices for automated build, test, and deployment processes.

• Understanding of cloud infrastructure and deployment strategies.

📝 Enhancement Note: The experience requirement of "6-10+ years" along with the "Experienced Hire" designation suggests this is not an entry-level or junior position. Candidates are expected to bring significant expertise and potentially leadership capabilities in establishing and scaling design systems and related infrastructure. The emphasis on bridging design and engineering domains is a critical differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of design system architecture and implementation, detailing how components and tokens were structured and distributed.

• Provide case studies demonstrating the development and scaling of design tokens, including transformation, versioning, and distribution strategies.

• Include examples of integrations built between design tools, codebases, and automated workflows, highlighting the problem solved and the solution's impact.

• Present evidence of experience with AI integration in design or development workflows, such as using LLMs for content generation or UI element creation, and how consistency was maintained.

Process Documentation:

• Detail your approach to architecting the end-to-end design system pipeline, from design handoff to production code.

• Explain your methodology for defining, implementing, and maintaining design token infrastructure, including governance and versioning strategies.

• Illustrate your process for integrating AI tools and generative capabilities into design and development workflows, including strategies for ensuring output quality and consistency.

• Outline your approach to building and maintaining CI/CD pipelines for design system assets, including testing and validation strategies.

• Describe how you would collaborate with design and engineering teams to gather feedback and drive iterative improvements on a platform.

📝 Enhancement Note: Given the role's focus on systems, pipelines, and AI integration, a portfolio should not only showcase finished products but also the thought process, architectural decisions, and process improvements that led to them. Demonstrating an understanding of how to operationalize design systems at scale, especially with emerging AI technologies, will be crucial.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for Design Systems Engineers with 6-10+ years of experience in Houston, TX, the estimated salary range is $130,000 - $180,000 annually. This estimate accounts for the specialized skill set in frontend engineering, design systems, and AI integration, as well as the cost of living in Houston. The final compensation will be commensurate with experience and qualifications.

Benefits:

• Comprehensive Health, Dental, and Vision Insurance

• 401(k) Retirement Savings Plan with Company Match

• Paid Time Off (PTO), including vacation, sick leave, and holidays

• Parental Leave policies

• Employee Assistance Program (EAP) for mental and emotional well-being support

• Access to Halliburton's extensive learning and development resources

• Opportunities for professional growth and career advancement within a global organization

• Potential for performance-based bonuses or incentives

Working Hours:

• Standard full-time work schedule, typically 40 hours per week.

• The role is on-site, requiring consistent presence in the Houston office.

• While a standard schedule is expected, occasional flexibility may be required to meet project deadlines or critical system maintenance needs, particularly concerning CI/CD operations and global team coordination.

📝 Enhancement Note: The salary range is an estimate based on industry data for similar roles in the specified location and experience level. Halliburton's benefits package is described as "world-class," emphasizing support for various aspects of employee well-being, which is a strong selling point for operations and engineering roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Global Energy (Oilfield Services) - Specifically within the "Landmark Software & Services" product service line, which focuses on digital solutions for the energy industry. This context implies a need for robust, reliable, and scalable software solutions that support complex operational workflows.

Company Size: Halliburton is one of the world's largest providers of products and services to the global energy industry, indicating a large, established enterprise with significant resources and a global footprint. This means the design system and platform will likely serve a vast number of users and applications.

Founded: Halliburton was founded in 1919, signifying a long history and deep expertise in its core industry. This longevity suggests a stable work environment with established processes, but also a drive to modernize and innovate through digital transformation.

Team Structure:

• The Design Systems Engineer will be part of a team responsible for building and scaling a "next-generation user experience platform." This platform team likely comprises a mix of frontend engineers, design system specialists, UI/UX designers, and potentially AI/ML engineers or specialists.

• The role is within the "Landmark Software & Services" product service line, suggesting close collaboration with teams developing specific software applications for the energy sector.

Methodology:

• The platform aims to unify design, engineering, and intelligent systems, suggesting a methodology that embraces cross-functional collaboration and integrated workflows.

• Emphasis on AI-assisted and AI-generated interfaces points to an adoption of modern development methodologies that leverage machine learning for efficiency and innovation.

• The process involves architecting a "scalable foundation" and establishing "consistent, governed, and production-ready" interfaces, indicating a focus on robust engineering practices, quality assurance, and adherence to standards.

Company Website: https://www.halliburton.com/

📝 Enhancement Note: Halliburton's position as a leader in the energy sector means this role operates within a high-stakes environment where reliability and efficiency are paramount. The "Landmark Software & Services" division highlights a strategic investment in digital transformation, making this platform engineering role critical to the company's future.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as an "Experienced Hire" with a requirement of 6-10+ years of experience, placing it at a senior or lead individual contributor level within the engineering and design systems discipline. It demands not just execution but also architectural vision and strategic contribution to platform development.

Reporting Structure: While not explicitly stated, an experienced engineer in this domain typically reports to an Engineering Manager, Director of Engineering, or Lead Architect. They will work closely with product managers, designers, and other engineering teams across various product service lines.

Operations Impact: The Design Systems Engineer will have a significant impact on the efficiency and consistency of UI development across Halliburton's global portfolio of enterprise applications. By establishing a unified platform, they enable faster product development cycles, improve user experience for thousands of internal users, and ensure brand consistency. Their work with AI integration also positions Halliburton at the forefront of digital innovation in the energy sector.

Growth Opportunities:

• Technical Specialization: Deepen expertise in advanced design systems architecture, multi-framework UI development, and cutting-edge AI integration for UI.

• Platform Leadership: Transition into a lead architect or principal engineer role, guiding the technical direction and strategic evolution of the user experience platform.

• Cross-Functional Mobility: Move into roles focusing on product management for developer tools/platforms, engineering management, or specialized AI/ML engineering roles within the company.

• Mentorship: Mentor junior engineers and designers, sharing knowledge and best practices in design systems and frontend development.

• Industry Influence: Contribute to industry best practices through speaking engagements or publications, representing Halliburton's innovation in UI development and AI.

📝 Enhancement Note: The role offers a unique opportunity to shape the future of user experience within a major industrial company. The blend of traditional engineering, design systems, and AI presents a distinct growth path for individuals interested in platform development and digital transformation in the energy sector.

🌐 Work Environment

Office Type: The role is designated as "On-site," indicating a need for regular presence within Halliburton's Houston office facilities. This environment is expected to be a professional corporate setting typical of a large energy services company.

Office Location(s): The primary location is 3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States. This is a major corporate campus location in Houston, likely offering comprehensive amenities and accessibility.

Workspace Context:

• Collaborative Environment: The role requires close collaboration with designers and engineers, suggesting an office layout that supports team interaction, potentially including open-plan areas, meeting rooms, and dedicated project spaces.

• Technology & Tools: Access to modern development hardware, software licenses, and robust network infrastructure will be essential for managing complex codebases, design tools, and AI integrations.

• Team Interaction: Opportunities for informal and formal interactions with colleagues, fostering knowledge sharing and problem-solving through face-to-face communication. The on-site nature facilitates spontaneous discussions and team-building activities.

Work Schedule:

• A standard full-time work schedule of approximately 40 hours per week is expected.

• While the role is on-site, the nature of platform development and CI/CD operations may necessitate some flexibility to address critical issues or coordinate with global teams, though this is not explicitly stated as a requirement for regular overtime.

📝 Enhancement Note: The on-site requirement suggests Halliburton values in-person collaboration and team cohesion for complex technical initiatives like building a unified user experience platform. The Houston location is a significant hub for the energy industry, offering a dynamic professional environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review your application and resume to assess basic qualifications and experience.

• Technical Interview(s): Expect in-depth technical discussions covering your experience with frontend frameworks (React, Angular), JavaScript/TypeScript, design systems architecture, design tokens, and CI/CD. You may also be asked about your approach to integrating AI into development workflows.

• System Design / Architecture Challenge: A common step for this level of role, involving designing a system or pipeline (e.g., the design system pipeline itself, a token distribution system, or an AI integration workflow). This assesses your problem-solving, architectural thinking, and ability to articulate complex technical solutions.

• Portfolio Presentation: You will likely be asked to present your portfolio, walking through key projects that demonstrate your expertise in design systems, frontend development, and any relevant AI/automation work.

• Behavioral & Cultural Fit Interview: Discussions to assess your collaboration style, communication skills, alignment with Halliburton's values, and how you handle challenges and teamwork. You'll likely meet with potential team members and leadership.

Portfolio Review Tips:

• Focus on Impact: For each project, clearly articulate the problem you solved, your specific role and contributions, the technical solutions implemented, and the measurable impact (e.g., efficiency gains, consistency improvements, developer productivity).

• Showcase the Pipeline: Explicitly demonstrate your understanding of the "design -> tokens -> code -> production" pipeline. Highlight your work on token architecture, component libraries, and automation.

• Highlight AI Integration: If you have relevant experience, showcase how you've integrated AI tools (LLMs, generative design) into workflows and how you ensured quality and governance.

• Technical Depth: Be prepared to discuss architectural decisions, trade-offs, and the underlying technologies used. For example, explain your choices in framework support, token transformation tools, or CI/CD strategies.

• Storytelling: Frame your projects as narratives. Explain the context, your approach, the challenges faced, and the successful outcomes.

Challenge Preparation:

• System Design: Practice designing scalable systems. For this role, focus on designing a design system pipeline, a token management system, or an integration strategy for AI tools into a development process.

• Code Examples: Be ready to discuss code snippets or common patterns in React/Angular, TypeScript, and potentially Node.js for tooling.

• AI Integration: Think about practical applications of LLMs in design/dev workflows, potential pitfalls, and how to mitigate them. Consider how to structure prompts and outputs for consistency and usability.

• Articulation: Practice explaining technical concepts clearly and concisely to both technical and potentially non-technical audiences.

📝 Enhancement Note: The emphasis on AI integration and a "next-generation platform" suggests that interviewers will be looking for candidates who are not just proficient in current design system practices but also forward-thinking and capable of pioneering new approaches using emerging technologies.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: React, Angular (strong proficiency required for at least one, familiarity with both beneficial).

• Languages: JavaScript, TypeScript (essential for modern frontend development and platform tooling).

• Design Systems: Experience with established design system principles, component libraries, and style guides.

• Design Tools: Figma (experience with its APIs, plugins, or AI capabilities is a strong plus).

• Version Control: Git (standard for collaborative development).

Analytics & Reporting:

CRM & Automation:

• CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar for building and managing automation pipelines for token synchronization, component publishing, and system validation.

• LLMs & AI Integration: Experience with or understanding of integrating Large Language Models (e.g., Claude, GPT) and generative AI tools into workflows.

• APIs & CLI: Development of internal APIs and Command Line Interfaces (CLIs) to enhance developer experience and automate tasks.

• Build Tools: Webpack, Rollup, or similar module bundlers.

• Package Managers: npm, Yarn.

📝 Enhancement Note: The explicit mention of specific AI tools like Claude and Figma AI, alongside core frontend technologies like React and Angular, and automation pipelines, points to a modern and evolving tech stack. Proficiency in these areas is critical.

👥 Team Culture & Values

Operations Values:

• Innovation & Forward-Thinking: A strong emphasis on building a "next-generation user experience platform" and integrating "AI-assisted and AI-generated interfaces" suggests a culture that values pioneering new technologies and approaches.

• Collaboration & Cross-Functional Partnership: The role requires close collaboration with designers and engineers, highlighting a value placed on teamwork, shared ownership, and effective communication across disciplines.

• Scalability & Reliability: As part of a global enterprise in the energy sector, there's an inherent value on building robust, scalable, and reliable systems that can perform under demanding conditions.

• Efficiency & Optimization: The focus on design systems, automation pipelines, and developer experience points to a culture that prioritizes efficiency, process optimization, and continuous improvement.

• Data-Driven Decision Making: While not explicit, the nature of platform development and system validation implies that decisions will be informed by data on adoption, performance, and user feedback.

Collaboration Style:

• Bridging Disciplines: The team culture likely encourages individuals who can operate comfortably in both design and engineering domains, fostering mutual understanding and effective problem-solving.

• Iterative Development: Expect a culture that embraces agile methodologies, with regular feedback loops from product usage to drive iterative improvements to the platform.

• Knowledge Sharing: A collaborative environment would likely promote sharing best practices, code reviews, and insights on new technologies to elevate the entire team's capabilities.

📝 Enhancement Note: The company's focus on digital transformation within the energy industry suggests a culture that is adapting to new technological paradigms while maintaining a strong foundation in engineering excellence. The Design Systems Engineer will be a key player in this evolution.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Design and Engineering: Successfully translating complex design specifications and AI outputs into consistent, production-ready code across multiple frameworks requires strong technical and communication skills.

• Scaling AI Integration: Implementing AI-generated UI effectively at an enterprise scale, ensuring quality, governance, and maintainability, is a significant technical and process challenge.

• Multi-Framework Support: Maintaining a unified design system across diverse frontend frameworks (React, Angular, potentially others) requires sophisticated architectural strategies to avoid code duplication and ensure consistency.

• Developer Adoption: Driving adoption of the design system and platform across a large, global engineering organization requires excellent developer experience, clear documentation, and strong stakeholder management.

• Keeping Pace with Technology: The rapid evolution of frontend technologies, design tools, and AI presents a continuous challenge to stay current and adapt the platform accordingly.

Learning & Development Opportunities:

• Advanced AI/ML in UI: Deep dive into generative AI, prompt engineering for UI, and AI-driven development workflows.

• Platform Architecture: Develop expertise in designing and scaling complex, multi-framework UI platforms for enterprise applications.

• Developer Tooling: Gain experience in building internal developer tools that significantly impact productivity and developer satisfaction.

• Industry Best Practices: Learn and contribute to best practices in design systems, tokenization, and UI governance within the energy technology sector.

• Leadership Development: Opportunities to mentor junior team members, lead technical initiatives, and potentially move into leadership roles managing platform teams.

📝 Enhancement Note: The role presents a unique opportunity to tackle complex, cutting-edge problems in UI development and AI integration within a major industrial company, offering significant learning and growth potential.

💡 Interview Preparation

Strategy Questions:

• "Describe your experience architecting and scaling a design system pipeline. What were the key components, challenges, and outcomes?" (Focus on the "design -> tokens -> code -> production" flow and your role in it.)

• "How would you approach integrating AI-generated UI components into an existing design system while ensuring consistency and quality?" (Prepare to discuss strategies for prompt engineering, validation, and governance.)

• "Explain your process for defining and managing design tokens across multiple frontend frameworks. What tools or methodologies have you used?" (Highlight your understanding of token transformation, distribution, and versioning.)

Company & Culture Questions:

• "How do you see AI impacting the future of user interface development, particularly in enterprise software like ours in the energy sector?" (Show your forward-thinking perspective and understanding of industry trends.)

• "Describe a time you had to collaborate closely with both designers and engineers on a complex technical project. How did you ensure alignment and successful delivery?" (Highlight your bridging capabilities.)

Portfolio Presentation Strategy:

• Narrative Flow: Structure your portfolio presentation like a story for each key project: the problem, your solution, your specific contributions, the technologies used, and the impact.

• Visual Aids: Use clear diagrams for architecture, screenshots of tokens and components, and examples of AI-generated outputs (if applicable).

• Focus on Process: Emphasize the how – your process for development, collaboration, and problem-solving, not just the final product.

• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your work (e.g., reduction in development time, increase in component reusability, consistency improvements).

• Tailor to Halliburton: Briefly mention how your experience can specifically benefit Halliburton's goals for a next-generation UX platform in the energy industry.

📝 Enhancement Note: Be prepared to discuss not only your technical skills but also your strategic thinking, problem-solving abilities, and how you can contribute to Halliburton's vision for modernizing its user experience through a robust design system and AI integration.

📌 Application Steps

To apply for this Design Systems Engineer position:

• Submit your application through the official Halliburton careers portal via the provided job link.

• Tailor your Resume: Highlight keywords directly from the job description, such as "Design Systems," "Frontend Engineering," "TypeScript," "React," "Angular," "Design Tokens," "AI Integration," "CI/CD," and "Platform Development." Quantify your achievements with metrics where possible, focusing on roles that involved building or scaling systems.

• Curate Your Portfolio: Select 2-3 key projects that best showcase your experience in design systems architecture, design token management, AI integration, and CI/CD automation. Prepare to walk through these projects, explaining your process, technical decisions, and the impact of your work.

• Prepare for Technical & System Design: Brush up on modern JavaScript/TypeScript, React/Angular concepts, design system patterns, and practice system design scenarios related to building pipelines and integrating new technologies.

• Research Halliburton: Understand Halliburton's position in the energy industry, their focus on digital transformation, and the "Landmark Software & Services" division. This will help you tailor your responses and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.