We are seeking a Lead DevOps Engineer to become an integral part of our team in San Mateo!
FuelX is the leading commerce indexing company. Our technology leverages real-time data processing and machine learning to predict online shopping behaviors and to drive conversions for the brands that use our digital advertising platform.  We are growing our team, and we're looking for people to join us on our mission to index the world's commerce data.

WE HOPE YOU'RE EXCITED ABOUT:

  • Being responsible for supporting software engineering and technology operations of the current infrastructure, implementation of new solutions and ensuring stable and scalable environments.
  • Playing a critical role in scaling our core systems by using the latest techniques in container orchestration and automation.
  • YOU WILL:

  • Maintain and scale existing cloud infrastructure
  • Write custom code in Bash, Python to automate system administration tasks
  • Instrument systems to monitor availability, performance, and respond to system issues as necessary
  • Code and configure application level alerts
  • Build automation CI/CD-Containerize services to work with Kubernetes and DC/OS
  • Develop techniques for effective comparative testing & benchmarking
  • Develop an on-call rotation for severe outages
  • Deploy and maintain big data clusters
  • Build infrastructure dashboard
  • YOU SHOULD HAVE:

  • 3 to 5 years of experience in DevOps related functions
  • Comprehensive knowledge of Linux (CentOS, Debian)
  • Experience (with)
  • Prometheus or other monitoring and alerting tools (Grafana, Nagios)
  • Ansible or other infrastructure automation tools (Chef/Puppet/Salt)
  • Kubernetes or other clustering and container orchestration systems (DC/OS)
  • Developing CI/CD systems
  • Knowledge of
  • Docker and containerization techniques
  • Common network services (HTTP, FTP, Email, NTP)
  • Cloud Computing services (AWS, GCP)
  • TCP/IP, networking topology, routers, firewalls, switches
  • Distributed Files Systems, Web Services, Backup Systems
  • Big data cluster (Spark, Hive etc)
  • EVEN BETTER IF YOU HAVE:

  • Automation QA framework knowledge and experience