Principal Engineer, Cloud & AI

GeoLOGIC Systems LimitedCalgary, AB
Onsite

About The Position

Geologic is building a new cloud-first product, designed from the ground up on modern technology with AI at its core. 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.

Requirements

  • 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, CloudFormation/CDK, and IAM.
  • Experience working with AI models (LLMs and foundation models), including AWS AI/ML services such as Bedrock and SageMaker, 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.

Responsibilities

  • Own the architecture of the new cloud-first product end to end and stay deeply hands-on in the codebase.
  • Make foundational decisions about how the product is built on AWS, from service architecture and data storage to authentication and security, setting the patterns for the team.
  • Bring 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.
  • Roll out AI capabilities to the wider team: sharing patterns, setting guardrails, and levelling up other engineers.
  • Review designs and code that carry the most risk.
  • Mentor engineers.
  • Exercise judgment about what to build, what to simplify, and what to defer to keep the product fast-moving and sound under demanding timelines.
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