Senior Data & ML Platform Engineer - Azure, Equity

Lever, Inc.; Canada; Remote; CAD 120,000 - 170,000; Full time

Job summary

GoMaterials seeks a Senior Software Engineer to own production systems and our internal data platform powering ML and OR initiatives. This hands-on role spans backend engineering, cloud infrastructure, and data engineering, with autonomy to shape architecture, tooling, and practices.

You’ll collaborate with ML/OR specialists to move experiments into production, improve reliability, and drive the roadmap for the data and ML platform.

Qualifications

• 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 production data pipelines end to end, including retries, idempotency, backfills, orchestration, and freshness monitoring.
• Hands-on experience designing and operating production services in Azure or another major cloud platform, with an interest in going deep on Azure.
• Experience with cloud infrastructure concepts such as 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 working with ML or OR codebases and model artifacts—you don't need to be the person building the models, but you should be comfortable reading, running, packaging, and deploying them.
• Experience owning live production systems and confidence taking over an existing codebase, understanding it, and improving it over time.

Responsibilities

• Own, operate, and improve backend services running in Azure, including serverless services, batch workloads, and ML inference endpoints.
• Manage deployments and reliability across environments, including CI/CD, monitoring, alerting, incident response, and operational runbooks.
• Operate and optimize cloud compute environments, including autoscaling, container images, identity, and resource management.
• Improve the reliability, scalability, and maintainability of existing production systems over time.
• Design and build reliable ETL/ELT pipelines transforming data to analysis-ready datasets.
• Help develop lakehouse-style analytical layer and infrastructure.
• Build and maintain infrastructure-as-code across environments using Terraform or Bicep.
• Manage cloud infrastructure including storage, identity, and access management, Key Vault, and cost optimization.
• Implement monitoring, logging, data-quality checks, and freshness alerting across data workflows.
• Ensure data is handled securely through access controls, secrets management, and responsible treatment of sensitive information.
• Build new internal services, APIs, and developer tooling as the team’s needs evolve.
• Build the infrastructure and tooling our ML and OR specialists need for experimentation, deployment, evaluation, and reproducibility.
• Turn research prototypes into reliable, production-ready services and workflows.
• Own model packaging, versioning, deployment, and CI processes for ML and OR codebases.
• Build automated evaluation and benchmarking pipelines to monitor model performance, drift, and system reliability.
• Partner with Data Scientists and OR specialists to run and operationalize experiments.
• Establish strong practices around code quality, automated testing, version control, and CI/CD.
• Conduct peer code reviews and help teammates adopt scalable engineering practices.
• Improve existing systems incrementally rather than rebuilding for the sake of rebuilding.
• Help ensure our codebases remain maintainable and releasable as the team and platform grow.
• Work closely with Data Science, Operations Research, Product, and Engineering to integrate ML and optimization solutions into our products.
• Contribute to technical design discussions and decisions around architecture, scalability, reliability, and performance.
• Translate technical and business needs into pragmatic engineering solutions.

Skills

Python

SQL

APIs

Distributed systems

Azure

Education

Bachelor’s or Master’s in CS/SE/Data Eng

Tools

Terraform

Bicep

CI/CD

Job description

GoMaterials seeks a Senior Software Engineer to own production systems and our internal data platform powering ML and OR initiatives. This hands-on role spans backend engineering, cloud infrastructure, and data engineering, with autonomy to shape architecture, tooling, and practices.

You’ll collaborate with ML/OR specialists to move experiments into production, improve reliability, and drive the roadmap for the data and ML platform.