
Chief System Resilience Specialist
2 weeks ago
The role of a System Resilience Engineer is crucial in ensuring the infrastructure that supports ad exchange applications, load balancers, data stores, CI/CD pipelines, and monitoring stacks are well-maintained and up-to-date.
This position requires an individual who can continuously improve the infrastructure's resilience, scalability, and efficiency to meet the demands of massive request volumes and stringent latency requirements.
**Key Responsibilities**- Oversee and maintain infrastructure supporting ad exchange applications, load balancers, data stores, CI/CD pipelines, and monitoring stacks.
- Continuously improve infrastructure resilience, scalability, and efficiency to meet demands of massive request volumes and stringent latency requirements.
- Develop policies and procedures to improve overall platform stability and participate in shared on-call schedules.
- Work closely with developers to establish and uphold quality performance benchmarks, ensuring applications meet necessary criteria before being deployed to production.
- Participate in design reviews and provide feedback on infrastructure-related aspects to improve system performance and reliability.
- Develop tools that simplify and enhance infrastructure management by automating processes and improving operational efficiency.
- Tools should address areas such as monitoring, alerting, deployment automation, failure detection, recovery, critical minimization, latency, and uptime.
- Focus on reducing latency and maximizing efficiency in components, request handling, load balancers, and database optimization.
- Implement best practices, tools, performance monitoring, real-time analysis, and response mechanisms.
- Bachelor's or Master's degree in Computer Science or Information Technology related field.
- 2-4 years of experience managing services for large-scale distributed systems.
- Strong understanding of networking concepts, TCP/IP routing, SDN, modern software architectures.
- Proficiency in programming and scripting languages such as Python, Go, Ruby, focusing on automation.
- Experience with container orchestration tools like Kubernetes and virtualization platforms preferably GCP.
- Ability to independently own problem statements, manage priorities, and drive solutions.
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