Software Engineering Lead - Landmark

Halliburton•Calgary, AB

9d•Onsite

About The Position

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. This is a hands-on role where 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. 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, and team assignment determines both the product domain and the technologies used. This is a management-track role with limited people management responsibilities at this level, but the role is expected to grow into formal people management over time.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience
5–10 years of software development experience
Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React, Angular, or Node.js)
Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery
Experience debugging production software and tracing root causes that span multiple components or layers
Experience coordinating the technical work of a delivery team or owning delivery of technology with a team, even informally
Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders
Ability to lead delivery across a distributed, cross-timezone team

Nice To Haves

Experience with cloud-native development, full-stack or web application development, or data platform technologies
Experience with CI/CD pipelines, containerization, and infrastructure automation
Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data)
Background in iterative delivery environments where you worked directly with Product Management to plan and scope work
Exposure to integrating machine learning, generative AI, or LLM-based components into application features
Experience growing less experienced engineers through technical mentorship
Formal or informal people leadership experience
Energy industry experience

Responsibilities

Lead a small delivery team and contribute code alongside them.
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.
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 blockers, risks, and schedule changes early, and keep engineering leadership current on team status.
Work directly with Product Management and engineering managers on planning, scoping, and priority trade-offs.
Develop the engineers on the team through code reviews, pairing, direct feedback on growth areas, and the standard you set in your own work.