We are seeking an experienced DevOps Engineering Manager who has a solid background in building and managing teams that build innovative and highly-scalable products. Your proven track record of managing a team of DevOps engineers to solve complex problems enables you to deliver big business impact.

Tech Stack:

  • AWS
  • GCP
  • Kubernetes
  • Python
  • Java, Scala, Kotlin, Groovy, Gradle
  • Teamcity, GitHub Actions
  • Terraform, Cloudformation
  • ELK, Loggly Datadog, Prometheus, Grafana, PagerDuty

Responsibilities:

  • Manage a team of talented DevOps engineers to motivate, direct, and promote positive culture for the success of the team
  • Own the end to end delivery and timeline of features and services including design, development and testing
  • Ensure individual growth for all team members by ensuring they receive mentorship from you and key technical leaders inside the company
  • Actively work alongside internal stakeholders to manage and prioritize engineering initiatives infrastructure changes, maintenance, and new feature requests
  • Operational Excellence - monitoring & operation of production services
  • Career management and development of direct reports

Qualifications

  • Experience in a Machine Learning focused service company with active model training and development
  • BS, MS or PhD in computer science with at least 5+ years of industry experience
  • + years managing DevOps engineers
  • 1+ years experience building and monitoring cloud services, ideally built on Kubernetes
  • Proven track record of shipping software, meeting committed deadlines
  • Excellent written and spoken communication skills
  • Passion for, and hands-on, technical expertise in highly available cloud services
  • Experience in technical escalations on critical issues
  • Experience managing a team of 3+ engineers

 

#LI-Remote

The annual US base salary range for this role is $178,500 - $276,000 plus bonus, equity, and benefits.
Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Benefits in our US offices:

  • 4-day workweek
  • Discretionary Time Off Policy (Unlimited!)
  • BetterHelp Online Therapy Membership
  • Dedicated learning budget through Learnerbly
  • 401K Match
  • Stock Options
  • Annual Performance Bonus or Commissions
  • Paid Parental Leave (12 weeks)
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account (FSA)
  • Short Term and Long Term Disability Insurance
  • Life Insurance
  • Company Social Events
  • Signifyd Swag

 

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