Roles remotos de AWS para candidatos en Canadá.

10+ years of hands-on, professional experience in query engine development or database internals

Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP

A DevSecOps engineering mindset

Collect customer business requirements and advise them on Ubuntu and relevant open source applications

Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer

Build and lead a team of engineers in your and similar timezones

Manage a distributed team of engineers and its MLOps/Analytics portfolio

Creating automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications

Understand Ubuntu, Linux, networking and services in real-world environments

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

Work across the entire Linux stack, from kernel, networking, storage, to applications

Understand Ubuntu, Linux, networking and services in real-world environments

A clear path for career growth and advancement within the company.

Triage and troubleshoot support issues, when required escalate to project or product engineering teams.

Homeoffice – 100% ortsungebundenes Arbeiten ist bei uns kein neuer Trend, sondern fester Bestandteil unserer Arbeitsphilosophie

Lead and develop a DevOps team: Hire, mentor, and grow engineers; set clear expectations and create an environment of ownership, high standards, and continuous improvement.

Bau und Pflege von CI/CD-Pipelines in GitHub Actions und / oder GitLab CI

Architektur & Entwicklung skalierbarer Backend-Services mit Django / Django REST Framework

Cloud Security Engineering: Design, develop, and implement cloud-based infrastructure and programs, including identity and access management, configuration management, and security monitoring.

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

Bau und Pflege von CI/CD-Pipelines in GitHub Actions und / oder GitLab CI

Design, build, and own mission-critical platform systems and integrations that support operations, fulfillment, data science, and other engineering teams

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.