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Docebo

SaaS learning platform for corporate training

Senior Product Engineer 2 - Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$123.4k - CA$164.5k /yr

About the Job

Requirements

  • Six or more years of software engineering experience, with deep expertise in backend engineering and strong working competency across the broader stack.
  • A proven record of owning complex technical initiatives from architecture through production deployment and operation.
  • Strong understanding of service architecture, APIs, distributed systems, cloud services, and maintainable production software.
  • Strong experience designing and evolving data models, schemas, and access patterns, with understanding of relational databases, query performance, indexing, migrations, and data integrity.
  • Experience building reliable background processing, messaging, and event-driven workflows across services and integration boundaries.
  • Ability to reason about failure modes, concurrency, retries, data consistency, and performance across services and integration boundaries.
  • Ability to guide engineers through uncertainty, establish effective architecture patterns, and raise engineering standards.
  • Comfort navigating unfamiliar systems and safely evolving APIs, service contracts, and integrations, including dependent frontend applications.
  • Strong experience with automated testing, continuous integration and continuous delivery, observability, monitoring, and pragmatic technical debt management.
  • Ability to explain tradeoffs, challenge assumptions constructively, and align Engineering, Product, Design, QA, and platform stakeholders.

Responsibilities

  • Own multi-sprint technical initiatives end to end, from architecture through implementation, production deployment, and ongoing evolution.
  • Design and evolve services, APIs, data models, and asynchronous workflows that support complete customer outcomes.
  • Navigate frontend applications, backend services, data layers, and platform integrations to deliver complete solutions.
  • Shape architecture decisions and engineering patterns across the broader system using deep backend expertise.
  • Evaluate tradeoffs around consistency, performance, reliability, and security, balancing immediate delivery with long-term scalability and maintainability.
  • Break down complex work, coordinate technical dependencies, unblock others, and help the squad maintain delivery momentum.
  • Improve testing, continuous integration and continuous delivery, observability, architecture, code quality, and pragmatic technical debt management.
  • Work with Product, Design, QA, Site Reliability Engineering, platform teams, and engineering groups to translate customer problems into reliable solutions.
  • Mentor engineers through architecture discussions, design reviews, code reviews, pairing, and knowledge sharing.

Desired Qualifications

  • Experience with cloud-native applications using serverless services, messaging, asynchronous workflows, or event-driven architecture.
  • Experience with Infrastructure as Code, continuous integration and continuous delivery pipelines, deployment strategies, or production operations.
  • Experience across multiple backend languages, frameworks, or runtime environments, and confidence choosing appropriate tools for the problem.
  • Experience with authentication, authorization, tenant isolation, and secure handling of customer data.
  • Working experience with modern frontend frameworks, application state, and API integration.
  • Experience with monitoring, tracing, logging, metrics, incident diagnosis, and performance tuning.
  • Experience acting as a technical lead or clear progression toward broader Staff-level leadership.

About the Company

Docebo

SaaS learning platform for corporate training

Docebo provides a cloud-based learning platform for businesses to train employees and other stakeholders by combining formal, social, and experiential learning. It operates as a Software-as-a-Service (SaaS) product, where clients subscribe to access features like course management, social learning tools, AI-driven recommendations, and analytics. Users enroll and track training, receive personalized learning paths, and measure progress within a scalable interface that supports multiple learning modalities. Compared with typical LMS options, Docebo emphasizes integrating formal, social, and experiential learning in one system and uses artificial intelligence to tailor content and recommendations to each learner and organization. The goal is to help companies improve workforce development by offering accessible, scalable, and personalized learning experiences that boost skills and performance across their teams.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Toronto, Canada
Founded
2005

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