Job Description

Responsibilities

• Run the production environment by monitoring availability
• Build software and tools to manage platform infrastructure and applications
• Improve reliability, quality, and time-to-market of our suite of software solutions
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
• Implement solutions that are automated, make complex technical processes more streamlined and efficient
• Provide primary operational support and engineering for multiple large distributed software applications

• Bachelor's degree in computer science or other highly technical, scientific discipline
• Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C#, and JavaScript
• Experience with infrastructure technologies like Operating Systems (Windows and Linux), networking, storage, virtualisation
• Familiar with testing automation tools
• Have an urge for delivering quickly and iterating fast
• A proactive approach to spotting problems, areas for improvement, and performance bottlenecks
• Previous success in leading large software engineering teams of more than 40 engineers with production support
• Coding experience beyond simple scripts
• Excellent communication
• Thriving as a member of a team
• Excel under pressure
• The ability to think fast
• A natural problem solver
• Deep knowledge of below or more technical competencies
• Great software engineer and able to code in resolving defects or vulnerabilities of our systems
• Use infrastructure automation tools such as Chef or Ansible to efficiently manage our infrastructure
• Implement "Infrastructure as Code" using Terraform and CI/CD for automation
• Load balancing and high availability architecture of application including Proxies and CDN through the use of F5
• Openshift and containerizing our system
• Administer and manage high-availability, high-performance Microsoft SQL Server or Oracle cluster.
• Monitoring and Metrics in Dynatrace, ELK or eG and integrations with Dynatrace / ITSM
• Logging infrastructure
• Backend storage management and scaling
• Disaster Recovery and High Availability strategy