Job description

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry. About Landmark Landmark, a Halliburton business line, provides the industry’s most comprehensive suite of digital solutions for exploration, drilling, and production optimization. Its software and data platforms empower customers to model subsurface assets, manage drilling risk, and accelerate decision-making through cloud, AI, and advanced analytics. About the Role Landmark is seeking a Principal Software Engineer, AI & Developer Experience to define and build the tools, architectures, and engineering practices that enable software engineers and AI development agents to work together effectively. The role spans the complete software development experience, from local development environments and source repositories through build, test, code review, continuous integration and delivery, and the engineering platforms connecting these activities. This is a hands-on technical leadership role at the intersection of software architecture, Developer Experience, and AI-enabled software development. The successful candidate will lead large-scale engineering initiatives, create reusable tools and reference implementations, improve complex repositories and development systems, and establish the technical foundations for AI-enabled software development across Landmark. Key Responsibilities • Define the architecture for AI-enabled software development across Landmark, including how software engineers, AI agents, developer tools, source control, CI/CD systems, and internal engineering platforms work together. • Establish technical standards for a high-performing developer environment, including local development, build and test workflows, deterministic environments, repository conventions, documentation, and machine-readable interfaces for AI development agents. • Design and build an AI tooling layer that connects engineers and AI agents with source control, collaboration tools, issue tracking, CI/CD, code review, feature management, security, observability, and internal developer platforms. • Lead hands-on technical pilots and reference implementations in production software repositories to validate architectural approaches, address complex engineering challenges, and establish repeatable patterns that other development teams can adopt. • Create automated repository assessments, engineering health indicators, productivity signals, and technical scorecards that identify risks, inconsistencies, and opportunities to improve the developer experience. • Design, develop, test, troubleshoot, secure, document, and maintain internal developer tools, platform integrations, and engineering automation. • Develop automated testing and regression strategies that improve software quality, release confidence, and the reliability of AI-assisted development workflows. • Apply secure software development practices to engineering tools, repositories, build pipelines, and AI-enabled workflows, including the identification and remediation of software vulnerabilities. • Drive adoption of new engineering tools and technical standards by partnering with software-development teams, gathering feedback, resolving adoption barriers, and continuously improving the developer experience. • Collaborate with Software Engineering, Architecture, DevOps, Platform Engineering, Security, and other technical stakeholders to define technical direction and deliver scalable engineering solutions. • Contribute to the technical direction of the growing Developer Experience organization through architectural decisions, technology evaluation, technical standards, reusable solutions, and the development of technical capability across the team. Qualifications Required • An undergraduate degree in Computer Science, Software Engineering, Computer Engineering, or a similar technical discipline. • A minimum of seven years of related experience, including professional software-development experience. • Demonstrated experience designing, developing, testing, troubleshooting, securing, documenting, and maintaining software solutions. • Experience with software engineering workflows such as source control, build automation, automated testing, code review, continuous integration, continuous delivery, or release automation. • Experience developing or improving software architecture, engineering tools, reusable technical solutions, or development practices in a complex software environment. • Ability to operate under broad direction, lead technically complex initiatives, collaborate across engineering functions, and influence technical decisions without relying on direct organizational authority. Preferred • Experience in Developer Experience, developer productivity, engineering enablement, platform engineering, or internal developer platforms. • Hands-on experience with AI-assisted software-development tools, coding assistants, AI development agents, agentic workflows, or integrations between AI systems and engineering platforms. • Experience designing reproducible or deterministic development environments, build systems, repository standards, or repository-governance solutions. • Experience integrating developer tools with source-control, CI/CD, issue-management, security, feature-management, collaboration, or observability platforms. • Experience creating reference architectures, technical standards, engineering scorecards, automated repository assessments, or reusable implementation patterns across multiple software-development teams. Candidates who possess qualifications exceeding the minimum job requirements may be considered for higher-level positions based on experience, additional qualifications, demonstrated capabilities, and current business needs. Depending on education, experience, and skill level, candidates may be eligible for roles ranging from Software Developer Principal to Software Developer Advisor or Software Developer Senior Advisor. World Class Benefits At Halliburton, we’re committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs — now and in the future. When you join our team, you’ll gain access to a wide range of programs designed to help you thrive at work and at home. Click here to review a summary of the benefits available once you join. Core Competencies Developer Experience | AI-Assisted Software Development | AI Agents | Software Architecture | Internal Developer Platforms | Platform Engineering | Developer Tooling | Engineering Enablement | Source Control | CI/CD | Build Automation | Automated Testing | Repository Governance | Secure Software Development | DevOps | Observability | Technical Standards | Reference Architecture Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation . Location 3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States Job Details Requisition Number: 212067 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

Requirements

Must-haves

Define the architecture for AI-enabled software development across Landmark, including how software engineers, AI agents, developer tools, source control, CI/CD systems, and internal engineering platforms work together.
Create automated repository assessments, engineering health indicators, productivity signals, and technical scorecards that identify risks, inconsistencies, and opportunities to improve the developer experience.
Design, develop, test, troubleshoot, secure, document, and maintain internal developer tools, platform integrations, and engineering automation.
Develop automated testing and regression strategies that improve software quality, release confidence, and the reliability of AI-assisted development workflows.
Apply secure software development practices to engineering tools, repositories, build pipelines, and AI-enabled workflows, including the identification and remediation of software vulnerabilities.
Drive adoption of new engineering tools and technical standards by partnering with software-development teams, gathering feedback, resolving adoption barriers, and continuously improving the developer experience.
Collaborate with Software Engineering, Architecture, DevOps, Platform Engineering, Security, and other technical stakeholders to define technical direction and deliver scalable engineering solutions.
An undergraduate degree in Computer Science, Software Engineering, Computer Engineering, or a similar technical discipline.
A minimum of seven years of related experience, including professional software-development experience.
Demonstrated experience designing, developing, testing, troubleshooting, securing, documenting, and maintaining software solutions.
Experience with software engineering workflows such as source control, build automation, automated testing, code review, continuous integration, continuous delivery, or release automation.
Experience developing or improving software architecture, engineering tools, reusable technical solutions, or development practices in a complex software environment.

Nice-to-haves

Experience in Developer Experience, developer productivity, engineering enablement, platform engineering, or internal developer platforms.
Hands-on experience with AI-assisted software-development tools, coding assistants, AI development agents, agentic workflows, or integrations between AI systems and engineering platforms.
Experience designing reproducible or deterministic development environments, build systems, repository standards, or repository-governance solutions.
Experience integrating developer tools with source-control, CI/CD, issue-management, security, feature-management, collaboration, or observability platforms.
Experience creating reference architectures, technical standards, engineering scorecards, automated repository assessments, or reusable implementation patterns across multiple software-development teams.
World Class Benefits
Click here to review a summary of the benefits available once you join.
Core Competencies
3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States
Requisition Number: 212067
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology

Application prep

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