Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
136к-170к CAD/год
160к CAD230к CADмедиана280к CAD
По похожим ролям (50) ~ 230к CAD/год
На СНГ рынке: $3.9к/мес ($3к - $4.8к)
60
Средняя вакансия
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Роль четко определена с хорошим стеком технологий, но зарплата значительно ниже рыночных стандартов, что может снизить привлекательность.
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Низкая зарплатаЧетко определенная рольСовременный стек технологийПродуктовая компания
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer - Data Platform (Python/Airflow/Snowflake): Extending a configuration-driven data platform that delivers analytics, product data insights, and infrastructure for Machine Learning and LLM-driven applications with an accent on distributed systems, data governance, and scalable cloud architecture. Focus on designing reliable ingestion, curation, and retention services, mentoring engineers, and operating production data infrastructure with Kubernetes, Terraform, and automated validation.
Location: Canada (Remote)
Salary: $135,800–$169,700 CAD per year
Company
hirify.global operates a multitenant, container-based WebOps platform that powers more than 300,000 WordPress and Drupal websites in the cloud.
What you will do
Extend the configuration-driven data platform to deliver product insights and support Machine Learning and LLM-driven applications.
Architect and enhance Ingest as a Service, Curation as a Service, and Retention as a Service.
Build and operate data infrastructure using Snowflake, Snowpark for Python, Google Cloud Platform, Airflow, Docker, Kubernetes, and Terraform.
Lead technical direction, mentor engineers, and raise standards for coding, testing, deployment, and communication.
Partner with Product, Sales, Operations, Finance, and other teams to deliver data solutions.
Participate in on-call support and own the full development, testing, deployment, and operations lifecycle.
Requirements
8+ years of experience building production data systems, including large-scale pipelines, cloud databases, and real-time data events.
Deep knowledge of distributed data systems, scalable data modeling for OLAP and OLTP, data governance, observability, and data quality.
Experience setting technical direction, making architecture decisions, mentoring engineers, and communicating with technical and non-technical stakeholders.
Strong hands-on Python experience and experience with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift.
Experience with Google Cloud Platform or a comparable cloud environment, containers, Kubernetes, Terraform, Airflow, and CI/CD for data workflows.
Experience supporting Machine Learning and LLM infrastructure, such as feature stores, embedding or vector pipelines, or model-ready data services.
Nice to have
Experience with Google Cloud Platform is preferred.
Hands-on use of AI tools to accelerate development and engineering work.
Culture & Benefits
Collaborative, autonomous, no-blame engineering culture centered on trust, teamwork, passion, and customer focus.
Flexible time off, sick days, and 13 paid holidays.
Comprehensive health, dental, and vision insurance.
Paid parental leave and fertility, adoption, and family-planning benefits.
Wellness and reading allowance, LinkedIn Learning access, and team and company events.
Visa sponsorship is not available.
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