Job
Description
You will play a crucial role in designing and implementing highly scalable, low-latency microservices architecture for observability platforms. Your responsibilities will include building and maintaining cloud-native infrastructure using Kubernetes and modern container orchestration. Additionally, you will develop large-scale data analytics pipelines for real-time observability and monitoring. You will be tasked with integrating AI agents with existing infrastructure systems and observability tools and optimizing system performance, reliability, and throughput for high-volume data processing. Furthermore, you will design and implement distributed messaging systems and event-driven architectures, collaborate with AI/ML teams, build robust APIs and services, and participate in system architecture decisions and technical design reviews. Your role will also involve ensuring system security, monitoring, and operational excellence. Qualifications: - Experience: 3+ years building highly scalable, distributed backend systems - Programming Languages: Proficiency in Rust, Go, Python for backend development - Distributed Systems: Deep hands-on experience with microservices, distributed databases, and messaging systems (Kafka, RabbitMQ, etc.) - Analytical Databases: Strong knowledge of ClickHouse, Apache Pinot, or similar columnar databases - Cloud Infrastructure: Experience with AWS, GCP, or Azure cloud platforms - Container Orchestration: Hands-on experience with Kubernetes and Docker - Observability Standards: Knowledge of OpenTelemetry, Prometheus, and monitoring best practices - Computer Science Foundation: Strong understanding of algorithms, data structures, and system design - Statistics & Analytics: Knowledge of statistical methods and data analysis techniques - Problem-Solving: Excellent analytical and troubleshooting skills - Collaboration: Ability to work effectively in a fast-paced, team-oriented environment You will play a crucial role in designing and implementing highly scalable, low-latency microservices architecture for observability platforms. Your responsibilities will include building and maintaining cloud-native infrastructure using Kubernetes and modern container orchestration. Additionally, you will develop large-scale data analytics pipelines for real-time observability and monitoring. You will be tasked with integrating AI agents with existing infrastructure systems and observability tools and optimizing system performance, reliability, and throughput for high-volume data processing. Furthermore, you will design and implement distributed messaging systems and event-driven architectures, collaborate with AI/ML teams, build robust APIs and services, and participate in system architecture decisions and technical design reviews. Your role will also involve ensuring system security, monitoring, and operational excellence. Qualifications: - Experience: 3+ years building highly scalable, distributed backend systems - Programming Languages: Proficiency in Rust, Go, Python for backend development - Distributed Systems: Deep hands-on experience with microservices, distributed databases, and messaging systems (Kafka, RabbitMQ, etc.) - Analytical Databases: Strong knowledge of ClickHouse, Apache Pinot, or similar columnar databases - Cloud Infrastructure: Experience with AWS, GCP, or Azure cloud platforms - Container Orchestration: Hands-on experience with Kubernetes and Docker - Observability Standards: Knowledge of OpenTelemetry, Prometheus, and monitoring best practices - Computer Science Foundation: Strong understanding of algorithms, data structures, and system design - Statistics & Analytics: Knowledge of statistical methods and data analysis techniques - Problem-Solving: Excellent analytical and troubleshooting skills - Collaboration: Ability to work effectively in a fast-paced, team-oriented environment
