- Design, develop, and maintain scalable backend services for Observability and AIOps platforms.
- Develop robust applications and services using Python and other programming languages.
- Design and implement microservices and distributed system architectures.
- Develop and integrate APIs and backend components for monitoring and observability solutions.
- Work with Kubernetes (K8s) for deploying, managing, and troubleshooting containerized applications.
- Work with containerization technologies such as Docker and Kubernetes.
- Troubleshoot complex application issues across distributed environments and production systems.
- Analyze logs, metrics, traces, and application behavior to identify performance and reliability issues.
- Support and enhance AIOps capabilities for event management, monitoring, alerting, anomaly detection, and automation.
- Collaborate with DevOps, SRE, platform engineering, and observability teams to improve system reliability.
- Participate in production support, incident investigation, root-cause analysis (RCA), and problem resolution.
- Optimize backend services for performance, scalability, availability, and reliability.
- Implement best practices for coding, testing, version control, CI/CD, and deployment automation.
- Contribute to technical design, architecture discussions, code reviews, and technical documentation.
- Continuously evaluate and adopt modern technologies to improve the AIOps and Observability platform.
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