Cloud Operations Engineer

Responsibilities

• Successfully co-ordinate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base
• Help scale the worldwide Cloud Operations Engineering team with the strategic implementation of new processes and tools
• Assist in scoping, designing and deploying systems that reduce Mean Time to Resolve for customer incidents
• Monitor and detect emerging customer-facing incidents on the Atlas platform; assist in their proactive resolution
• Automate routine monitoring and troubleshooting tasks
• Diagnose live incidents, differentiate between platform issues versus usage issues, and take the next steps toward resolution
• Cooperate with our product management and cloud engineering organizations by identifying areas for improvement in the management applications powering the Atlas infrastructure
• Inform executive leadership and escalation management personnel of major outages
• Coordinate and participate in a weekly on-call rotation, where you will handle short term customer incidents (from direct surveillance or through alerts via our Technical Services Engineers)

Requirements

• Experience with being an on call DevOps, SRE, or Cloud Operations engineer (at least 8 years)
• Expertise with Linux system administration, configuration, troubleshooting
• Experience in monitoring, system performance data collection and analysis, and reporting
• Expertise with networking technologies like DNS, TCP/IP, etc
• Knowledge of database operations and concepts.
• Familiarity with Amazon Web Services and other Cloud infrastructure platforms (e.g. GCP, Azure)
• Capability to write small programs/scripts to solve both short-term systems problems
• A CS/CE degree or equivalent experience
• At least 1 of the following programming languages: Java, Go, Python, Javascript
• A keen interest in learning new things

Special requirements

• Willingness to work in 1st Shift (7:30 am IST to 3:30 pm IST).
• Willingness to work from Wednesday - Sunday or vice versa

Nice To Have

• MongoDB
• Splunk
• Kubernetes