About the Company
At AlphaLayer, we help institutional investors uncover investment edge at scale with a repeatable research process that leverages core technology, data, and AI to develop differentiated investment strategies and signals.
About the Role
We're looking for an Intermediate Technology Developer with a strong foundation in software development and/or data engineering. An ideal candidate would have a strong drive to grow their skill set in other areas to become well rounded in all aspects of our business.
This role is ideal for someone who enjoys working on real-world problems, has solid technical fundamentals, and is eager to learn. You’ll join a cross-functional team that combines AI, quantitative finance, and engineering to build production-grade systems that deliver real business impact.
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Design, build, and maintain robust, scalable data pipelines and web applications
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Work with tools like Snowflake, Prefect, and Python to enable reliable and efficient workflows
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Build web applications using React, and FastAPI
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Collaborate with technology developers, infrastructure specialists, and quantitative experts
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Troubleshoot and optimize data flows in both development and production environments
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Contribute to internal tooling and automation as the team grows its DevOps/cloud maturity
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Participate in code reviews, team planning, and knowledge-sharing
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3-6 years of experience in software development, data engineering or related role
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Strong Python skills, including libraries such as Pandas, SQLAlchemy, FastAPI, or equivalent
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Solid SQL skills and understanding of performance optimization
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Familiarity with version control (Git/GitHub) in a collaborative setting
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Comfort using Unix/Linux systems for development and debugging
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Experience working with structured and semi-structured data (e.g., JSON, Parquet, CSV)
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Familiarity with cloud platforms (Azure, AWS, or GCP) and how applications are deployed in them
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Hands-on experience with building and managing web applications (e.g. React, Streamlit, FastAPI, etc.) for data presentation or internal tools
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Hands-on experience with data warehousing platforms (e.g., Snowflake, Databricks, BigQuery, etc.) and data transformation tools (e.g. dbt, SQLMesh, Dataform)
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Experience working with workflow orchestration tools like Prefect, Azure Data Factor, or Airflow
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Understanding of data modeling concepts (e.g., star schema, dimensional modeling)
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Exposure to Docker and Kubernetes in local or cloud environments
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Experience working with CI/CD pipelines (e.g., GitHub Actions, Azure Pipelines)
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Exposure to Infrastructure as Code tools like ARM templates or Terraform
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Experience interacting and building APIs (REST/GraphQL) for data ingestion or automation
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Edmonton-based candidates willing to work in-office at least once a week
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Strong communication and collaboration skills
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A self-starter with a growth mindset, eager to expand their skill set
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Interest in working across disciplines in a production-focused team
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Willingness to be a part of an on-call rotation during evenings and weekends (~2hrs/week)
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An interest in investment management including quantitative finance
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Be part of a high-impact team productionalizing cutting-edge AI and quantitative models
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Work with experienced engineers, researchers, and infrastructure experts
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Grow your skills in cloud, DevOps, and end-to-end systems
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Competitive compensation and benefits
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Flexible hybrid work model with an emphasis on collaboration and learning
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Opportunity to start start working with cutting edge Agenic technologies
Interested? Apply now and help us build the data foundation behind intelligent systems that make a difference.
Most organizations don’t need more AI pilots. They need results. AltaML builds agentic AI solutions that move beyond dashboards and experiments — intelligent systems that take action, adapt over time, and drive measurable business outcomes. We partner with organizations to identify high-impact opportunities and deploy AI where it matters most: improving performance, strengthening decision-making, reducing risk, and unlocking sources of value. Powered by AltaForge, our proprietary AI agent engine, our solutions combine reusable AI agents with built-in governance, observability, and control. The result is scalable, auditable, enterprise-grade AI that works in production — not just in theory. From strategy through deployment and ongoing optimization, we deliver end-to-end support, enabling faster, sustained value realization. We believe AI should elevate human potential, not complicate it. Our approach enables teams to focus on higher-value work while intelligent systems handle the rest. Headquartered in Edmonton, with offices in Calgary, Toronto, and Waterloo, AltaML helps organizations turn AI ambition into impact.
Key team members
Craig Haney
Doug Nenzel
Carolynne Heron
Kevin Charter
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