Software Engineering Lead - Landmark

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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 company, builds the software and data solutions 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 and as enterprise on-premises solutions.

Job Duties   You lead a small delivery team and own the technical execution of what the team ships. You set direction, develop the engineers on the team, and stay close enough to the code to make good decisions about what the team commits to and how it delivers. This is a hands-on role: you keep writing code.
The role suits an experienced software engineer who is ready to take on the delivery and growth of a team. Candidates new to the team lead role are welcome, especially if you have led a small team informally or owned delivery of technology with a team before.
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 and the technologies used.
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 Type Script
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 No

SQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB
What You Will Do   You lead a small delivery team and contribute code alongside them. The work has two dimensions, and you do both every day.
Build and ship software   Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it
Proactively identify and fix weaknesses in the codebase, test coverage, and development process
Investigate and resolve production defects and trace root cause when symptom and source are not in the same place
Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise
Evaluate and integrate open-source tools and libraries where they improve the systems
Stay close enough to the code to make sound technical decisions about what the team commits to and how it delivers
Lead the delivery team   Own technical execution and delivery for a small team of engineers building production software
Translate product requirements into concrete delivery plans with realistic schedules and clear task ownership
Run design and code reviews and hold the team to consistent technical standards
Set technical direction for your team’s area: technology choices, design approach, and how the team works
Surface…