About Us
We are an early-stage AI startup focused on Site Reliability Engineering (SRE). Rather than being another observability platform, its 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.
Our team includes experienced entrepreneurs and engineers who have built multiple billion-dollar products from scratch. As a well-funded US-based company backed by top-tier VCs, we have offices in the US, India, and Europe. Join us in our fast-paced environment where you’ll have a front-row seat to shape the future of AI-driven Observability solutions.
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)
● 5+ years of relevant experience in building highly scalable systems.
● Bachelor's degree in Computer Science, Engineering, or related field (Master's/PhD is a plus)
Our Values:
● Loyalty & Long-term Commitment – We invest in people who invest in us.
● Opinionated yet Open-Minded – We value strong perspectives but encourage constructive discussions.
● Passion – We seek individuals who are passionate about their craft.
● Humility & Integrity – Honest, transparent, and accountable team members are key.
● Adaptability & Self-Sufficiency – Ability to thrive in a fast-paced and evolving environment.
● Build Fast and Break Fast – We believe in rapid iteration and learning from failures.
Skills Required
- Strong programming skills in Python
- Strong programming skills in Golang
- Experience building distributed systems and large-scale analytics pipelines
- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure)
- Experience with Kubernetes
- Deep understanding of observability technologies (Prometheus, OpenTelemetry, Grafana, Elastic)
- Experience with stream processing and real-time data processing frameworks
- Proficiency in database technologies (SQL & NoSQL, Clickhouse, Time-Series DBs)
- Knowledge of LLMs and AI agent frameworks (e.g., LangChain, Autogen)
- Experience with Rust
- 5+ years of relevant experience building highly scalable systems
- Bachelor's degree in Computer Science, Engineering, or related field
- Master's or PhD
What We Do
Ciroos (pronounced "Sai-rose") offers an AI SRE teammate that empowers site reliability engineers (SREs), DevOps and operations teams to be superheroes. Built from the ground up with the power of multi-agentic AI, Ciroos enables operations teams to reduce toil, investigate incidents, explain anomalies, and drive autonomous operations, across complex multi-domain environments, all while leaving humans in control. Reach out to us at www.ciroos.ai to learn more about what an AI SRE Teammate can do for you.
