Platform Enginner

What You'll Work On

• Design and develop a next-generation scalable observability platform for modern cloud-native and hybrid infrastructures that works in tandem with AI agents.

• Create intelligent AI agents to analyze logs, traces, and metrics in real time, delivering automated insights and remediation.

• Build scalable and fault tolerant AI agent frameworks

• Engineer and optimize large-scale analytics pipelines to process high-velocity telemetry data.

• Build resilient distributed systems with high reliability, performance, and fault tolerance.

• Implement and fine-tune LLMs for natural language querying and automated troubleshooting.

• Partner with ML engineers to streamline AI model deployment and management.

What We're Looking For

• Strong programming skills in Python and Golang (experience with Rust is a plus)

• Track record of building distributed systems and large-scale analytics pipelines • Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and Kubernetes

• Deep understanding of observability technologies (Prometheus, OpenTelemetry, Grafana, Elastic, etc.)

• Knowledge of LLMs, AI agents, agent frameworks liks langchain, autogen is a plus

• Experience with stream processing and real-time data processing frameworks

• Proficiency in database technologies (SQL & NoSQL, Clickhouse, Time-Series DBs)

• Bachelor's degree in Computer Science, Engineering, or related field (Master's/PhD is a plus)