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Job Description & How to Apply Below
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 & A I to 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.
Ready to apply? Here's what were looking for:
A senior, deeply hands-on engineer who still lives in the code and leads by building
Deep, hands-on expertise with cloud platforms, especially AWS
Strong practical experience with AWS architecture : services such as S3 and other storage, authentication and identity, networking, security, and cost-aware design
Deep hands-on experience with AI and modern models , including building real product features on top of them
A track record of rolling AI capabilities out to engineering teams , establishing patterns, guardrails, and best practices
Experience acting as technical lead on a product or major system , ideally a cloud-first, greenfield build
Fluency with modern, latest-generation tech stacks and a strong sense for what strong code and sound architecture look like
The judgment to balance speed and quality under demanding timelines, and to mentor and elevate the engineers around you
Nice to Haves:
Hands-on experience with specific AWS technologies such as Lambda, ECS/EKS, API Gateway, DynamoDB, RDS, Cognito, Cloud Formation/CDK, and IAM
Experience working with AI models (LLMs and foundation models), including AWS AI/ML services such as Bedrock and Sage Maker, RAG pipelines, and model evaluation
Background in the energy sector or with geospatial, subsurface, or large-scale data platforms
Experience taking a greenfield product from zero to launch and scaling it in production
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