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Daniel Smith

Bis 2024, DevOps Engineer, Digitalis
Toronto, Kanada

Fähigkeiten und Kenntnisse

Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform
Terraform
Kubernetes
Azure DevOps
Docker
Docker Compose
Jenkins
Ansible
Puppet
Chef
Git
Jira
Prometheus
Grafana
Kibana
C#
Python
Java
Ruby
Node.js
Go
Bash
SQL
MongoDB

Werdegang

Berufserfahrung von Daniel Smith

  • 1 Jahr und 9 Monate, Aug. 2022 - Apr. 2024

    DevOps Engineer

    Digitalis

    • Developed and implemented a CI/CD pipeline for a new application, reducing deployment time by 50% and increasing team productivity by 25%. • Collaborated with development teams to optimize application performance, resulting in a 15% increase in user satisfaction and a 10% increase in revenue. • Designed and managed AWS and GCP for optimizing performance and cost, implementing Infrastructure as Code (IaC) with Terraform to enhance deployment speed by 30%.

  • 1 Jahr und 9 Monate, Okt. 2020 - Juni 2022

    DevOps Engineer

    Sogeti

    • Developed and maintained scripts to automate system administration tasks, reducing manual workload by 50% and increasing team efficiency by 20%. • Implemented security best practices and conducted regular vulnerability assessments, ensuring system integrity and compliance with industry standards. • Researched and evaluated new technologies to improve system performance, resulting in a 10% reduction in system response time and a 5% increase in overall system efficiency.

  • 10 Monate, Dez. 2019 - Sep. 2020

    Software Engineer

    Pixels Trade

    • Developed 26 web apps for multiple clients, providing a wide range of functionality and tools enabling mission-critical processes. • Provided priority one customer support for incidents and bug fixes, maintaining a 99% SLA for response and resolution times. • Implemented dependency injection for over 200 modules in C# and Angular code. • Led 17 successful (on schedule and budget) agile development projects for clients.

Sprachen

  • Englisch

    Fließend

  • Russion

    Gut

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