Cloud Database Engineer at Docebo

Italy

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Learning Platform, SoftwareIndustries

Requirements

Candidates must have strong experience with cloud-managed databases such as AWS RDS/Aurora, GCP Cloud SQL/Spanner, or Azure SQL, along with NoSQL services. A deep understanding of SQL performance tuning, indexing strategies, and query optimization is essential. Familiarity with infrastructure-as-code tools like Terraform, Pulumi, or CloudFormation is required, as is knowledge of database security, encryption, and regulatory compliance. Experience with observability tools (Datadog, Prometheus, Grafana) and cost monitoring is also necessary. Strong communication skills, the ability to coach and collaborate with engineering teams, and command of the English language, both verbally and in writing, are crucial.

Responsibilities

The Cloud Database Engineer will design, implement, and evolve cloud database services for products and internal platforms. They will curate and standardize managed database offerings, build and maintain Infrastructure-as-Code modules for database provisioning, and ensure compliance with data security, isolation, and regulatory requirements. Responsibilities include defining and maintaining reliability baselines, monitoring and optimizing database performance, scalability, and cost, and building automation and observability for database metrics, access control, and schema management. The role also involves acting as a consultant and coach for product teams on schema design, query optimization, and database best practices.

Skills

Cloud Databases

Infrastructure-as-Code

Database Provisioning

Data Security

Backup Strategies

Disaster Recovery

Database Monitoring

Database Optimization

Automation

Reliability Engineering

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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