Platform Engineer / Distributed Systems Engineer

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, Time-Series DBs)

5+ years** of relevant experience

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