Software Engineer

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. Job Duties 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  You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide.  Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job.  Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major 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  What You Will Do  Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it  Break complex specifications into concrete tasks with realistic schedules and flag risks early  Proactively identify and fix weaknesses in the codebase, the test coverage, and the…