Staff Site Reliability Engineer

Job Description:

We are looking for someone passionate about automation, tooling, and frameworks to join the Monitoring (Argus) team. You will be part of the team that has the mandate to build infra/app monitoring system/framework and enable all projects across Careem to improve the visibility and we get insight of system events, people can define alerts and get notified in case of any incident.

Job Responsibilities:

• Develop, maintain, and extend a variety of systems, including open-source, ready-made, and in-house applications.
• Focus on quality and know what it means to ship high quality code.
• Facilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging problems across our platform.
• Coach, and mentor colleagues on an energetic, growing team.
• Development of our distributed monitoring system to meet the challenging functional, scalability and reliability requirements for our fast-growing business.
• Design/Architect solutions with a focus on scalability, testability, and maintainability
• Build and ship new features and systems, with an emphasis on code quality, maintainability, readability, and testing.

Job Requirements:

• Experience with monitoring systems like NewRelic, AppDynamic, Dynatrace, etc.
• Expert Knowledge in Developing and debugging in one these Java, Python, Bash, Go.
• Experience with Cloud Infrastructure (AWS preferred)
• Experience in multi-tiered distributed systems
• Experience on EKL stack and/or Log management.
• Experience with infrastructure automation (Infrastructure as Code)
• Strong Unix or Linux background, including topics around network stack and scripting
• Ability to effectively articulate technical challenges and solutions; deal with loosely defined problems and fast changing requirements & think abstractly
• 8+ years of experience in architecture/design, developing, operating and troubleshooting highly available systems at scale.
• Experience in building and owning tools for medium to large engineering teams.
• Experience of building systems, dashboards and metrics to facilitate a data-driven approach to problem resolution.