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Vice President, Engineering

Posted 25 days agoViewed

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💎 Seniority level: Vp, 15+ years

📍 Location: Canada

🔍 Industry: Threat intelligence and investigations

🏢 Company: LifeRaft👥 51-100💰 over 4 years agoOpen SourceSecurityInformation Technology

🗣️ Languages: English

⏳ Experience: 15+ years

🪄 Skills: AWSPHPPythonCloud ComputingGCPJavascriptSoftware ArchitectureUI DesignAzureData engineeringReactMicroservicesCompliance

Requirements:
  • Bachelor’s degree in Computer Science, Information Systems, or a related field; advanced degrees preferred.
  • 15+ years of progressive experience in software engineering, with a focus on managing and leading teams.
  • Proven experience in a leadership role within a data engineering or related function.
  • Experience with PHP (or Python or Ruby), Javascript, and React.
  • In-depth knowledge of software architecture and system scalability.
  • Demonstrated success in building and leading high-performance software engineering teams.
  • Strong people management and mentorship skills.
  • Experience in developing and executing strategic plans for data engineering initiatives.
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent communication skills, able to convey complex technical concepts to non-technical stakeholders.
Responsibilities:
  • Collaborate with the CTO and executive leadership to establish the overarching technical vision, engineering processes, and best practices.
  • Build, inspire, and manage a high-performing team of software engineers, ensuring robust professional development and mentorship.
  • Direct the design and development of scalable and secure backend architectures, ensuring robust data pipelines and infrastructure.
  • Define and execute strategies for data ingestion, processing, and storage to ensure accuracy, scalability, and reliability.
  • Oversee UI/UX practices and continuously refine front-end architecture.
  • Ensure high availability and performance of our SaaS offering using leading cloud platforms.
  • Partner with data science, analytics, and business intelligence teams.
  • Evaluate and manage relationships with third-party vendors and service providers.
  • Implement processes that drive ongoing optimization of engineering workflows.
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