About Landmark
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.
About the Role
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 MongoD
What You Will Do
Build, test, and ship features for products in active use by energy companies worldwide
Debug and fix defects in production systems, learning how large-scale applications behave under real conditions
Write and maintain automated tests as part of the team’s standard delivery workflow
Participate in code reviews: read your teammates’ code, receive feedback on yours, and learn the codebase through both activities
Follow secure coding practices, triage security issues when they arise, and apply fixes to deliver secure applications
Contribute to technical documentation for the systems and features you work on
Work within a distributed team across time zones, communicating clearly and consistently about your progress and blockers
Research and evaluate open-source tools and libraries that can improve the systems you work on
Grow your understanding of the product domain through the work itself
