Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world’s largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions.
This role spans the full early-career range. We are hiring new graduates as well as engineers with up to five years of professional experience. If you are a few years in and looking for stronger mentorship, a more technically serious codebase, or a clearer growth path than your current role offers, this posting is for you. Your experience will be reflected in your level, scope, and compensation at offer.
You join a delivery team and start writing production code immediately. You build software with your team that oil and gas operators use every day for real decisions. You debug issues in systems that connect to live data, write features that operators depend on, and learn how professional software teams ship quality code at scale.
You receive regular guidance from experienced engineers and participate in code reviews from the start. Over time, you grow your technical skills and your understanding of the product domain, and you build the habits that make an engineer effective over the long term. We hire for potential and train for success.
Positions are available across a range of teams. Team assignment determines both the product domain you work in and the technologies you use.
Teams build software for domains such as:
- Geoscience — geology, geophysics, or petrophysics
- Drilling engineering and well planning
- Reservoir engineering and modeling
- Production engineering and optimization
- E&P data management and integration
- Cloud and platform infrastructure, data services, and developer tooling
- AI-assisted analytics, search, and generative AI
Technologies used vary by team and include:
- Languages such as Java, C#, F#, C++, Python, and TypeScript
- Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js
- Cloud platforms including Azure and AWS
- Containerization and orchestration tooling such as Docker and Kubernetes
- Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux
- Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB
