Senior DevOps Engineering Manager

3 weeks ago

London, Ontario, Canada CARFAX Full time
Senior DevOps Engineering Manager

At CARFAX, we're seeking a highly skilled Senior DevOps Engineering Manager to lead our AI/ML platform operations. As a key member of our team, you'll be responsible for building, leading, and mentoring teams to drive strategic initiatives and ensure the smooth deployment and monitoring of machine learning models and tools.

Key Responsibilities:
  • Report to the Vice President of AI and Machine Learning
  • Build, lead, and mentor teams of various disciplines
  • Provide strategic guidance and communicate roadmaps of an enterprise operational environment
  • Define, drive, and build the operations strategy for the department
  • Oversee the deployment and monitoring of machine learning models and tools
  • Stay up to date with the latest advancements in AI/ML research and industry trends
  • Collaborate with numerous stakeholders to discover and prioritize strategic initiatives
  • Establish and report on robust evaluation metrics and KPIs
  • Establish clear goals and objectives that align with Department and Corporate Game Plans
  • Ensure operations comply with security standards and regulations
  • Work with delivery partners, architects, and teams across CARFAX to support their AI/ML initiatives on the operations platform
Requirements:
  • 10+ years of software engineering or other related experience
  • 5+ years of experience leading DevOps teams
  • Strong interest in deploying and managing machine learning models in production environments
  • Experience with AWS or other related cloud platforms
  • Strong understanding of software engineering principles, CI/CD practices, Kubernetes, and infrastructure automation tools
  • Proven track record of cross-functional project delivery
  • A track record of communicating well with executives and non-technical leaders
  • BS in Computer Science/Engineering or related discipline
Preferred Qualifications:
  • Experience in deploying and monitoring large-scale AI/ML systems in production environments
  • Strong understanding of ethical AI/ML practices, bias mitigation, and explainable AI
  • Experience working in a research-driven environment and collaborating with data science and research teams
  • Relevant certifications in DevOps, cloud platforms, or AI/ML areas
What We Offer:
  • Competitive compensation, benefits, and generous time-off policies
  • 4-Day summer work weeks and a winter holiday break
  • 401(k) / DCPP matching
  • Annual bonus program
  • Casual, dog-friendly, and innovative office spaces

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