DevOps Specialist
On-siteVancouver, British Columbia, Canada
Vancouver, British Columbia, CanadaOn-siteFull TimeSenior LevelBachelors DegreeEnterprise
Full TimeSenior LevelBachelors DegreeEnterprise
Job Summary
Design and operate infrastructure for AI capabilities, agents, and NLP pipelines into production while maintaining reliability and cost efficiency. Automate processes for building, testing, and deploying solutions across on-premises, public, private, and hybrid cloud environments using Infrastructure as Code and CI/CD. Build and optimize data pipelines within Databricks or cloud data warehousing technologies, applying DevSecOps practices to ensure security and scalability. Collaborate with project managers, data architects, and external vendors to execute migrations and maintain high-quality standards across Vancouver Coastal Health's data analytics initiatives.
Required Qualifications
- Bachelor's Degree in Computer Science, Information Systems Management or a Software Engineering related field
- at least five (5) years' experience as an or an equivalent combination of education, training and experience as Platform, DevOps, DataOps, or Site Reliability Engineer
- Certification from at least one cloud service provider
- Extensive experience performing DevOps practices including but not limited to: code review, unit test automation, build & release automation, incident and change management
- Demonstrated experience in designing, implementing, streamlining and monitoring CI/CD pipelines within a data-focused department/organization
- Demonstrated experience building and optimizing data pipelines (ETL) within a Databricks environment or other cloud data warehousing technologies
- Demonstrated experience practicing DataOps functions and processes
- Demonstrated experience working with Azure DevOps, Databricks, and Azure SQL
- Demonstrated experience developing a branching strategy to tackle monolithic repos
- Strong proficiency with Git and GitHub workflows
- Proficiency coding in Python, Bash, Terraform, ARM, Bicep or other scripting languages with a focus on automating releases or processes
- Working knowledge of containerization technologies such as Docker and Kubernetes
- Working knowledge of databases (Azure SQL, Synapse, etc) and SQL
- Ability to analyze requirements, develop architecture/design artifacts, and execute migrations from on-premises infrastructure to cloud environments
- Demonstrated hands on experience building sophisticated and highly automated infrastructure
- Ability to perform analysis of the current practices and design and implement best practices and emerging concepts
- Demonstrated understanding of DevSecOps practices
- Proven ability to stay updated on the latest trends and technologies in data engineering, cloud computing, and healthcare information technology
- Deep understanding of security principles and experience in developing design patterns to ensure security, scalability, and optimization for growing data volumes
- Strong analytical, prioritizing, interpersonal, problem-solving, presentation, budgeting, project management (from conception to completion), & planning skills
- Demonstrated technical leader with skills in teaching, coaching and mentoring others
- Excellent oral and written communication skills with the ability to effectively communicate complex ideas and processes in simple terminology to internal and external stakeholders, including all levels of management
- Demonstrated attention to detail and maintenance of high-quality standards
- Demonstrated ability to work independently, meeting deadlines under pressure, with minimal supervision and frequent interruptions
- Ability to work effectively with multi-disciplinary teams with different lines of reporting
- Ability to work effectively under time pressure to meet deadlines, balance work priorities and resolve problems in a timely manner
- Physical ability to perform the duties of the position
- Successful applicants may be required to complete a Criminal Records Review Check
Desired Qualifications
- Experience with deployment automation, monitoring, observability, and cost management for AI work, with a particular focus on agent-based systems
- Experience with Databricks or the Microsoft Stack
- Knowledge of Azure or other cloud infrastructure services (e.g Azure Data Factory, Azure DevOps) an asset
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