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Geologic in Calgary is hiring a Principal Engineer, Cloud & AI to lead the architecture of a cloud-first product. You’ll be deeply hands-on, shaping service design on AWS, data storage, authentication, and security while delivering scalable foundations.
You’ll drive AI capabilities, build real features, share patterns with the team, and mentor engineers to raise the bar. This is a senior, hands-on role requiring strong leadership and modern tech fluency.
Geologic is a trusted data, software, and information solutions company committed to the Energy Industry. Every day we provide global customers with market-leading data, software, platforms, analytics, education, news, and insights that enable them to make vital decisions that drive growth and efficiency. Based in Calgary, with offices in London (UK) and Houston (US), we deliver critical data-driven intelligence ranging from surface and subsurface well and asset level information and insights to corporate performance benchmarking data and A&D transaction data.
People make us successful. We’re driven by a team of individuals whose unique backgrounds and experience allow us to provide the best products and customer service on the market. Together we’re transforming the energy intelligence landscape.
We're growing and looking for a Principal Engineer, Cloud & AIto join our team. Geologic is building a new cloud-first product, designed from the ground up on modern technology with AI at its core, and the Principal Engineer will be the technical lead who makes it real. This is our most senior hands-on engineering role. You'll set the technical direction, write the code that matters most, and raise the bar for everyone building alongside you.
You’ll partner closely with the Software Development Manager, who owns the team, delivery, and roadmap, while you own the architecture, the hard technical calls, and the AI capabilities at the heart of the product. Together you’ll turn a demanding vision into something that ships and scales.
How will you spend your day?
As the technical lead on our new cloud-first product, you own its architecture end to end and stay deeply hands-on in the codebase rather than stepping back into a purely advisory role. You'll make the foundational decisions about how the product is built on AWS, from service architecture and data storage to authentication and security, setting the patterns the rest of the team builds on.
A central part of the job is AI. You bring a deep, practical experience with AI and models into the product, choosing the right approaches, building real features on top of them, and evaluating what actually works in production rather than in a demo. Just as important, you’ll roll that capability out to the wider team: sharing patterns, setting guardrails, and levelling up other engineers so AI becomes something the whole team can build with confidently, not a black box only you understand.
As a force multiplier for quality, you'll review the designs and code that carry the most risk, mentor engineers, and know when a problem needs your hands directly versus when it’s an opportunity to grow someone else. When the timeline is demanding, your judgment about what to build, what to simplify, and what to defer is what keeps the product both fast-moving and sound.
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