Software Development Engineer

About the Company

We are an early-stage AI startup focused on Site Reliability Engineering (SRE). Our goal is to act as an AI SRE teammate that works alongside SRE, DevOps, Platform Engineering, Cloud Operations, and IT Operations teams to investigate incidents, determine root causes, and automate remediation.

Responsibilities

• Design and develop a next-generation scalable observability platform for modern cloud-native and hybrid infrastructures
• Create intelligent AI agents to analyze logs, traces, and metrics in real time
• 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

Requirements

• 5+ years of relevant experience in building highly scalable systems
• 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)
• Bachelor's degree in Computer Science, Engineering, or related field

Preferred Qualifications

• Experience with Rust
• Knowledge of LLMs, AI agents, and agent frameworks like LangChain or AutoGen
• Master's or PhD degree