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Senior Software Engineer – Data & ML Platform

15 hours, 30 minutes ago
Canada
Full-time
Senior
Software Engineer
Software Development
Apache Airflow Azure CI/CD Dagster dbt Git Kubernetes Machine Learning MLflow MLOps Prefect Python Serverless SQL Terraform
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GoMaterials

GoMaterials

GoMaterials provides a streamlined marketplace for landscaping professionals to source wholesale plants and trees from local nurseries, offering competitive quotes, efficient order management, and dedicated support to enhance the procurement process.

Specialty Retail
11-50
Founded 2017
View All Jobs 2

Description

  • Own, operate, and improve Azure backend services, including serverless services, batch workloads, and ML inference endpoints.
  • Manage deployments and reliability across environments through CI/CD, monitoring, alerting, incident response, and operational runbooks.
  • Design and build ETL/ELT pipelines that transform relational and document data into analysis-ready datasets.
  • Develop the lakehouse-style analytical layer and supporting cloud infrastructure.
  • Build and maintain infrastructure as code across environments using Terraform, Bicep, or similar tools.
  • Implement secure cloud infrastructure, access controls, secrets management, data-quality checks, and freshness monitoring.
  • Build infrastructure and tooling for ML and Operations Research experimentation, deployment, evaluation, and reproducibility.
  • Convert research prototypes into reliable production services; manage model packaging, versioning, deployment, and CI processes.
  • Establish engineering practices for code quality, testing, code review, version control, and maintainable releases.
  • Collaborate with Data Science, Operations Research, Product, and Engineering teams on scalable technical solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field, or equivalent practical experience.
  • Strong programming skills in Python and SQL.
  • Strong understanding of APIs, backend service design, and distributed systems.
  • Experience building and operating end-to-end production data pipelines, including retries, idempotency, backfills, orchestration, and freshness monitoring.
  • Hands-on experience designing and operating production services in Azure or another major cloud platform, with interest in deepening Azure expertise.
  • Experience with serverless and batch compute, object storage, identity and access management, and monitoring.
  • Experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM.
  • Strong knowledge of Git, CI/CD, automated testing, and modern software engineering practices.
  • Comfort reading, running, packaging, and deploying ML or Operations Research codebases and model artifacts.
  • Experience owning live production systems and improving existing codebases over time.
  • Experience with Delta Lake, Parquet, lakehouse architectures, DuckDB, Polars, or dbt (preferred).
  • Experience with Azure Machine Learning, MLflow, DVC, workflow orchestration tools, Kubernetes, Azure governance/security, DevOps/SRE, or optimization and logistics systems (preferred).

Benefits

  • Health benefits and paid time off.
  • Equity after the first year.
  • Learning and promotion opportunities.
  • Opportunity to share ideas and influence outcomes.
  • Collaborative, tight-knit team environment.

Interested in this position?

Apply directly on the company website

Apply Now

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