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Ferguson

IT Manager - AI Platform Engineering & Data Science

RemoteUnited States only· UTC-6…UTC-5
Published
Role
Engineering Management
Experience
Senior
Employment
Full-time
Company size
Enterprise
$7.6k–$13.2k/mo
Check eligibility

Open to US only · UTC-6…UTC-5. Set where you work from to check your eligibility.

No BS summary

Senior platform engineering manager to lead a team building scalable ML/AI platforms on GCP (hybrid with Azure). Must be US-based in Eastern or Central time zones; 5+ years platform engineering experience, hands-on with Java/Python, MLOps, DevSecOps and CI/CD.

Core skills

GCPMLOpsPlatform Engineering

Required skills

AzureGCP Vertex AIBigQueryJavaPythonCI/CDDevSecOpsinfrastructure automationAPMAppDynamicsDatadogsoftware architecturetelemetryalerting

Optional skills

feature-storepipeline-orchestrationmodel-serving constructsDataDogAppDynamics

What you'll do

  • Lead, coach, and develop a high-performing team of platform engineers, architects, and technical specialists.
  • Define and execute the platform engineering, cloud, and data science roadmap in support of Ferguson's AI and technology strategy.
  • Design, build, and optimize scalable, secure, and reliable platform capabilities across Google Cloud Platform (GCP) and hybrid-cloud environments.
  • Partner with AI Engineering, Data Science, Product, and Architecture teams to enable the development, deployment, and operation of AI and machine learning solutions.
  • Drive DevSecOps, CI/CD, infrastructure automation, and platform reliability standards.
  • Own and enhance MLOps and data science platform capabilities supporting model development, training, deployment, and monitoring at scale.
  • Establish engineering standards, architecture patterns, API strategies, and reusable platform services.
  • Lead platform modernization initiatives including cloud adoption, developer experience improvements, automation, and legacy technology retirement.
  • Manage project delivery, budgets, vendor relationships, and team capacity.
  • Supervise platform performance, security, availability, and scalability and mitigate risks.
  • Build strong partnerships with business and technology leaders to align platform investments.
  • Stay ahead of emerging cloud, AI, data, and engineering technologies to drive innovation.

What they require

  • Bachelor’s degree in information technology, computer science or related field preferred or equivalent experience.
  • At least 5 years of hands-on experience in platform engineering.
  • Experience in machine learning implementation and data analytics enablement is required.
  • Prior experience directly leading engineering or technical talent, including performance management and career development for direct reports.
  • Direct experience in software programming with Java and/or Python.
  • Experience in secure software delivery (DevSecOps) and continuous integration/continuous deployment (CI/CD) and pipeline development.
  • Hands-on experience architecting and operating platform services on Google Cloud Platform (GCP) with working knowledge of Azure.
  • Experience enabling data science and ML workflows using cloud-native tooling (e.g., Vertex AI, BigQuery, or equivalent) strongly preferred.
  • Experience creating operational dashboards, telemetry configurations and alerting templates using APM and Data Logging solutions such as AppDynamics, DataDog.
  • Solid understanding and experience implementing software design patterns and modern standards.
  • Be a hands-on software engineer able to work alongside software engineers, architects, data scientists, and quality engineers.

Benefits

  • Health, dental, vision
  • Paid time off
  • Life insurance
  • 401(k) with company match
  • Mental health coverage
  • Gender affirming and family building benefits
  • Paid parental leave
  • Associate discounts
  • Community involvement opportunities

U.S. distributor of plumbing, heating, ventilation and air conditioning, appliances, and lighting to pipes, valves and fittings, and water and wastewater products

DistributionEnterprisewolseley.com
$7.6k–$13.2k/mo