BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.
Coding or scripting exposure.
Appetite for change and pushing the boundaries of what can be done with automation. Be curious about new technology, infrastructure, and practices to scale our architecture and prepare for future growth.
Basic to intermediate level of understanding of algorithms, data structures, scripting, pipeline management, and software design
Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
Interest in designing, analysing, and troubleshooting large-scale distributed systems.
Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.
Ability to balance doing things right with fixing things quickly. Flexible and pragmatic, while working towards improving the long-term health of the system.
Comfortable collaborating with cross-functional teams to ensure that expected system behavior is understood and monitoring exists to detect anomalies.
Experience in Monitoring tools such as Splunk, Dynatrace
Understanding of client-server relationships, Network concepts, Stack trace analysis (TCP dumps, heap dumps, CPU/memory analysis, thread dumps), logging and monitoring tools, high availability, and business continuity planning
