Cloud Operations and Support Engineer - SRE

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, EdTech, SaaSIndustries

Requirements

Candidates must have experience with infrastructure management and operations, good working knowledge of Linux and Docker, and familiarity with the LAMP stack. Experience with AWS Cloud services, Bash or Python scripting, CI/CD tools like Gitlab CI, application performance monitoring tools such as Datadog or New Relic, Docker orchestrators like Amazon ECS or Kubernetes, and Git is required. The ability to solve issues with clear methods while knowing when to take intuitive leaps is essential. Knowledge of programming languages such as PHP, JavaScript/Typescript, or Go is a plus.

Responsibilities

The Senior Cloud Operations and Support Engineer will manage the Docebo Incident and Escalation process, monitor metrics, and develop ways to improve observability. Responsibilities include diagnosing and troubleshooting service incidents and outages, performing urgent code fixes when needed, and handling day-to-day operations to maintain and evolve the Docebo multi-tenant infrastructure. The role involves building and maintaining effective working relationships, working with tickets from the internal support team, and identifying opportunities to streamline the development process. This position also requires performing periodic on-call duty to maintain the availability and performance of the Docebo Platform.

Skills

Cloud Operations

Support Engineering

SRE

Learning Platform Management

Customer Issue Resolution

Technical Diagnosis

Operational Diagnosis

Product Issue Diagnosis

Cross-functional Coordination

Architectural Knowledge

Code-level Understanding

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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