Software Development Engineer

The role

You will design and develop a scalable observability platform and intelligent AI agents. You will build distributed systems, analytics pipelines, and implement LLMs for troubleshooting.

What you will do

• Design and develop a next-generation scalable observability platform
• Create intelligent AI agents to analyze logs, traces, and metrics
• Build scalable and fault tolerant AI agent frameworks
• Engineer and optimize large-scale analytics pipelines
• Build resilient distributed systems
• Implement and fine-tune LLMs for natural language querying and automated troubleshooting
• Partner with ML engineers to streamline AI model deployment and management

Required qualifications

• Strong programming skills in Python and Golang
• 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.)
• Experience with stream processing and real-time data processing frameworks
• Proficiency in database technologies (SQL & NoSQL, Clickhouse, Time-Series DBs)
• 5+ years of relevant experience in building highly scalable systems
• Bachelor's degree in Computer Science, Engineering, or related field

Nice to have

• experience with Rust
• Knowledge of LLMs, AI agents, agent frameworks liks langchain, autogen
• Master's/PhD

About the company

ciroos is an early-stage AI startup focused on Site Reliability Engineering (SRE). The company is a well-funded US-based company backed by top-tier VCs with offices in the US, India, and Europe.