Cloud Database Engineer at Docebo

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, Technology, SaaSIndustries

Requirements

Strong experience with cloud-managed databases (AWS RDS/Aurora, GCP Cloud SQL/Spanner, Azure SQL, NoSQL services)
Deep understanding of SQL performance tuning, indexing strategies, and query optimization
Familiarity with infrastructure-as-code (Terraform, Pulumi, or CloudFormation)
Knowledge of database security, encryption, and regulatory compliance requirements
Experience with observability tools (Datadog, Prometheus, Grafana) and cost monitoring
Strong communication skills; ability to coach and collaborate with engineering teams
Command of the English language, both verbally and in writing
Located in the Toronto area

Responsibilities

Curate and standardize managed database offerings available to product teams
Build and maintain Infrastructure-as-Code modules and patterns for safe and compliant database provisioning
Ensure compliance with data security, isolation, and regulatory requirements, providing documentation and audit evidence
Define and maintain reliability baselines, including backup, replication, and disaster recovery strategies
Monitor and optimize database performance, scalability, and cost across the organization
Build automation and observability for database metrics, access control, and schema management
Act as a consultant and coach for product teams, supporting schema design, query optimization, and database best practices

Skills

Cloud Databases

Infrastructure as Code

IaC

Database Provisioning

Data Security

Compliance

Backup

Replication

Disaster Recovery

Performance Optimization

Cost Optimization

Automation

Monitoring

Docebo

Corporate e-learning platform with AI integration

About Docebo

Docebo creates software and support systems to assist businesses in training their employees and stakeholders. Its platform combines various learning methods, such as formal, social, and experiential learning, enhanced by artificial intelligence to make the learning experience more personalized and engaging. This approach sets Docebo apart from traditional learning management systems that focus solely on formal courses. The company primarily targets corporate clients across different industries, recognizing the growing need for effective training solutions in the corporate e-learning sector. Docebo operates on a Software-as-a-Service (SaaS) model, where clients subscribe to access its platform, allowing for flexible usage based on their needs. The company's goal is to provide a comprehensive learning platform that supports continuous employee development and adapts to the evolving demands of the workforce.

Toronto, CanadaHeadquarters

2005Year Founded

$5.6MTotal Funding

IPOCompany Stage

Enterprise Software, EducationIndustries

1,001-5,000Employees

Benefits

Paid Vacation

Employee Stock Purchase Plan

Hybrid Work Options

Remote Work Options

Risks

Dayforce's new LMS launch could increase competition in the e-learning market.

CFO transition might cause temporary instability in Docebo's financial management.

Warburg Pincus's share acquisition may lead to increased influence over company decisions.

Differentiation

Docebo integrates formal, social, and experiential learning methods, enhancing learning personalization.

The platform leverages advanced AI capabilities for dynamic and personalized learning experiences.

Docebo's SaaS model allows scalable and flexible learning solutions for corporate clients.

Upsides

Docebo's partnership with Class Technologies enhances virtual instructor-led training capabilities.

Recognition with nine Brandon Hall Awards reinforces Docebo's leadership in learning innovation.

The alliance with Deloitte supports building robust learning ecosystems for large organizations.

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