5 дней назад
Software Engineer or Senior Software Engineer (Data Hub)
140 000 - 210 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer or Senior Software Engineer (Data Hub) (AI/MLOps and data engineering): Building a cloud operations platform that ingests data, computes curated datasets, and surfaces them to Workday applications and AI/ML workflows with an accent on distributed systems, cloud infrastructure, and scalable services. Focus on developing production services with Kubernetes, Spark, Python, Java, Terraform, and Iceberg while addressing observability, testing, performance, security, and on-call operations.
Location: Vancouver, British Columbia, Canada; at least 50% of each quarter spent in the office or in the field
Salary: CAD 140,000–210,000 annually; an additional Canada base pay range of CAD 112,000–168,000 is also listed.
Company
is a Fortune 500 company providing an AI platform for managing people, money, and business operations.
What you will do
- Build and operate a cloud platform for ingesting data from internal and external producers.
- Compute, aggregate, curate, and surface datasets for applications and front-end components.
- Provide contextual data for AI/ML inference generation and agentic workflows.
- Develop scalable service endpoints and deliver services from code through production deployment.
- Collaborate on object-oriented software design, clean code, testing, deployment, and production operations.
- Support production triage and on-call responsibilities while improving reliability and performance.
Requirements
- Software Engineer: 3+ years of software engineering or distributed systems experience; Senior Software Engineer: 6+ years.
- 3+ years of proficiency in at least two of Java, Scala, and Python.
- 3+ years of cloud engineering experience and working knowledge of AWS or GCP managed services.
- Experience with at least one of Apache Spark, Apache Iceberg, Kubernetes, Terraform, or AWS cloud infrastructure.
- BSc or MSc in Computer Science, Computer Engineering, or equivalent experience.
- Experience with CI, Docker, Kubernetes, Terraform, observability, testing, performance, security, availability, and production operations.
Nice to have
- Experience with AI code-generation tools such as ClaudeCode, Windsurf, or Cursor.
- Experience with Grafana, Prometheus, Kibana, or Hive.
- Knowledge of operating system concepts, concurrency, networking, memory, storage, and process management.
Culture & Benefits
- Flexible work combines in-person collaboration with remote work.
- At least half of each quarter is spent in the office or in the field, depending on the role.
- Compensation may include a bonus plan or role-specific bonus and annual refresh stock grants.
- provides employment support, reasonable accommodations, and equal opportunity protections.
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