
Optimize System Infrastructure
4 days ago
About this role:
This is an exciting opportunity to join a dynamic team as a system performance engineer. In this role, you will be responsible for overseeing and maintaining infrastructure supporting ad exchange applications.
The ideal candidate will have a strong understanding of networking concepts and modern software architectures. Experience with container orchestration tools like Kubernetes and virtualization platforms preferably GCP is highly desirable.
Key Responsibilities:
- Develop policies and procedures improving overall platform stability and participate in shared on-call schedule.
- Work closely with developers establishing quality and performance benchmarks ensuring applications meet necessary criteria before deployment to production.
- Continuously improve infrastructure resilience, scalability, and efficiency to meet massive request volume and stringent latency requirements.
Collaboration with Developers:
- Participate in design reviews providing feedback on infrastructure-related aspects improving system performance and reliability.
- Implement best practices and tools for performance monitoring including real-time analysis and response mechanisms.
Building Tools for Infra Management:
- Develop tools simplifying and enhancing infrastructure management automating processes and improving operational efficiency.
- These tools may address areas such as monitoring, alerting, deployment automation, and failure detection and recovery critical in minimizing latency and maintaining uptime.
Requirements:
- Bachelor's degree or higher in Computer Science, Information Technology, or related field.
- 2-4 years of experience managing services in large-scale distributed systems.
- Strong programming skills with focus on automation.
- Proficiency in Python, Go, or Ruby programming languages.
- Experience with Terraform, Prometheus, Grafana, ELK stack, Jenkins, and Git.
Preferred Skills & Tools Expertise:
- Container orchestration: Kubernetes.
- Virtualization platforms: GCP.
- Programming languages: Python, Go, or Ruby.
- Infrastructure as Code: Terraform.
- Monitoring and Logging Tools: Prometheus, Grafana, ELK stack.
- CI/CD Pipelines: Jenkins.
- Databases: MySQL relational or Redis NoSQL.
- Load Balancers Servers: haproxy or Nginx.
- Version control systems: Git.
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