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.
What You’ll Do
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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
Must-Have Skills
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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
Nice-to-Have Skills
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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
What We’re Looking For
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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
Why Join Us
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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.
About our Company:
Our work through AlphaLayer has a strong emphasis on deepening our partnership with Alberta Investment Management Corporation (AIMCo). Our goal is to provide a competitive advantage for our clients by combining AIMCo’s data and domain expertise with AlphaLayer’s ML and software expertise.
AlphaLayer’s mission is to create better investment outcomes for the stakeholders of our clients by building cutting-edge solutions that help us understand and adapt to the evolving financial markets. We do this by building AI technologies to enable quicker, more robust investment decision making.
Data informs our every move, and we aim to work quickly, collaboratively, and creatively.
Who we are looking for:
Our core values speak volumes about who we are and how we work:
Humble – Listen to the data
Happy – Tap-dance to work
Gritty – Be persistent, not complacent
Agile – Make small bets, then iterate
What we have to offer you:
You will be able to experience a collaborative company culture. We nurture an environment that combines the nimbleness and can-do attitude of a successful start-up, but with the scale of a large investment management firm.
Your work will be applied to real-world problems and will have a high impact on our clients and Alberta’s economy. You will be working with extremely talented and passionate people who bring multiple years of industrial and academic experience in data science, software engineering, and machine learning fields. To solve the problems we apply various ML techniques from traditional Machine Learning and Data Mining algorithms, through to vision, Deep Learning, Information Extraction, advanced NLP and conversational agents.
We also have fun. We believe in working hard, getting the job done and enjoying the group social Fridays. You’ll also get flexibility in where you work, what hours you work, how much vacation you take, and what you wear. We expect hard work but respect work/life balance.
Confidence can sometimes hold us back from applying for a job. We’ll let you in on a secret - there is no such thing as a perfect candidate. AlphaLayer is working with new technologies, and no one is standing still when it comes to learning. As long as you are continuing to push your growth and development, then consider applying even if you don’t check all the boxes on our posting.
So, however you identify and whatever background and experiences you bring, please apply if this is a role that would make you “tap dance to work” every day. We would love to add your biological uniqueness to our own! :-)
Note:
You will be required to undergo the following checks during the hiring process:
Background
Education
Criminal
Credit
References