Team Lead DevOps

Location ALL

About project

Model N is the leading of Revenue Management solutions for the life sciences and technology industries. The company helps customers maximize revenues, drive growth and reduce compliance risk by transforming the revenue livecycle from inefficient disjointed operations into a strategic end-to-end process


  • 5+ years of hands-on experience with web application environments
  • Deep Unix knowledge
  • Deep network knowledge
  • Knowledge of scripting and programming languages, such as Python, Ruby, Groovy, Bash etc.
  • Solid knowledge of configuration management and deployment automation tools ( Jenkins, Ansible)
  • Knowledge of IaC tools, like Terraform
  • Experience with HashiCorp Vault
  • Experience with ELK stack
  • Experience of working with AWS or similar cloud environments
  • Solid knowledge of Linux operating systems (RHEL, CentOS, Ubuntu)
  • Knowledge of and experience building / managing applications and system security under SIEM


  • Lead the continuous deployment automation efforts
  • Maintain and improve configuration management/control systems
  • Setup and support monitoring suite
  • Sustain and execute standard operational procedures
  • Responsible for software rollouts, patches and system upgrades
  • Assist Engineering and QA with maintaining various environments
  • Collect and analyze performance / utilization statistics and produce reports
  • Optimize application environment and continuously works on performance/availability improvements
  • Test, maintain and improve application and platform security
  • Create comprehensive technical documentation and reports
  • Provide 24/7 support for mission critical services
  • Conduct technical training for junior staff

Will ba a plus

  • Experience working with Java platforms (Tomcat, JBoss)
  • Expertise in configuring and managing common web servers (Nginx, Apache)
  • Expertise in creating and maintaining proactive monitoring systems based on Prometheus, CloudWatch, Zabbix etc.)
  • Good understanding of local and global Load Balancing
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