Senior DataOps Engineer

We are seeking a Senior DataOps Engineer to own data analytics infrastructure at Smile Digital Health, bridging DevOps and data engineering by provisioning and hardening cloud infrastructure, automating CI/CD workflows, and operating Spark-based and Big Data systems.

Requirements

• 6+ years in a DevOps, DataOps, or data platform engineering role
• Hands-on experience with Apache Spark and at least one managed Spark platform
• Proficiency in Python; solid working knowledge of Java or Scala applications
• Experience with pipeline orchestration tools such as Apache Airflow
• Strong CI/CD experience with GitLab CI, Jenkins, or GitHub Actions
• Infrastructure-as-code proficiency with Terraform, Ansible, or equivalent
• Solid experience operating Linux systems and public cloud environments
• Familiarity with Kubernetes or other container orchestration platforms for data workloads
• Ability to manage multiple workstreams in parallel with strong attention to delivery timelines
• Customer-first mindset with strong written and verbal communication skills

Benefits

• Remote Work Environment
• Flexible Time Away From Work Policy including PTO, Personal and Sick Days
• Competitive Salary and Health/Medical Benefits
• RRSP/TFSA/401K Employee Contribution
• Life and Disability
• Employee Assistance Program
• FHIR Study Program and Skillsoft Learning
• Super HAPI Fun Club