Software Development Engineer

Ciroos' interview process typically starts with a timed online coding test focusing on data structures, algorithms, and basic system design. Successful candidates move to a deep‑dive technical interview where they discuss distributed system architectures, observability tools, and AI agent frameworks. The final HR round evaluates cultural alignment with the company's values of loyalty, humility, and rapid iteration. Preparation should include hands‑on projects with Kubernetes, observability stacks, and LLM integration.

Ciroos promotes a high‑energy, merit‑based culture where engineers are encouraged to experiment and iterate quickly. The company offers clear growth paths, mentorship from industry veterans, and a balanced approach to work‑life integration, allowing flexibility while maintaining delivery excellence.

Bachelor's degree in Computer Science, Engineering, Information Technology or related discipline (minimum 60% aggregate). Master's or PhD is a plus. Minimum 5 years of professional experience in building large‑scale distributed systems. No active backlogs. Candidates from the 2020‑2024 graduating batches are preferred, but exceptional candidates from earlier batches will also be considered.

Round 1: Online coding assessment (data structures, algorithms, and system design basics) → Round 2: Technical interview covering system design, distributed systems, and AI/ML integration → Round 3: HR interview focusing cultural fit, values, and career aspirations

Ciroos is an early‑stage AI startup that is redefining Site Reliability Engineering (SRE) with an AI‑driven observability platform. Backed by top‑tier venture capital firms, the company operates out of the United States, India, and Europe, bringing together seasoned entrepreneurs and engineers who have previously built multi‑billion‑dollar products. Their mission is to move beyond traditional monitoring tools and create an AI teammate that works hand‑in‑hand with SRE, DevOps, Platform Engineering, Cloud Operations, and IT Operations teams to automatically detect incidents, pinpoint root causes, and trigger remediation actions. The culture at Ciroos is fast‑paced, highly collaborative, and focused on rapid iteration – they encourage employees to build fast, learn from failures, and continuously improve. As a Software Development Engineer, you will be at the core of building the next‑generation observability platform that powers modern cloud‑native and hybrid infrastructures. You will design and implement scalable, fault‑tolerant systems that ingest massive streams of telemetry data—logs, traces, and metrics—and feed them to intelligent AI agents. These agents, powered by large language models (LLMs) and frameworks such as LangChain or Autogen, will provide real‑time insights, automated troubleshooting, and self‑healing capabilities. You will collaborate closely with machine‑learning engineers to streamline model deployment, and you will own the end‑to‑end pipeline from data collection to actionable remediation. Key responsibilities include: 1. Architect and develop a highly scalable observability platform that can handle petabyte‑scale telemetry data. 2. Build and maintain AI agents that analyze logs, traces, and metrics in real time. 3. Design fault‑tolerant, distributed systems with strong reliability and performance guarantees. 4. Engineer large‑scale analytics pipelines using stream‑processing frameworks. 5. Implement and fine‑tune LLMs for natural‑language querying and automated troubleshooting. 6. Integrate with cloud providers (AWS, GCP, Azure) and orchestrate workloads on Kubernetes. 7. Develop and optimize storage solutions using ClickHouse, time‑series databases, and both SQL/NoSQL stores. 8. Collaborate with product, SRE, and ML teams to translate requirements into robust engineering solutions. 9. Mentor junior engineers and contribute to code‑review processes. 10. Continuously monitor system health, performance metrics, and drive improvements. The tech stack revolves around Python and Golang for core services, Rust for performance‑critical components, Kubernetes for container orchestration, Prometheus, OpenTelemetry, Grafana, and Elastic for observability, and modern data stores like ClickHouse and time‑series databases. Knowledge of LLMs, LangChain, Autogen, and stream‑processing frameworks (e.g., Apache Flink, Kafka Streams) is highly valued. Growth at Ciroos is rapid; engineers can progress from individual contributor to lead architect, and eventually to senior leadership roles as the product scales globally. The company offers exposure to cutting‑edge AI research, cloud infrastructure, and large‑scale system design—making it an ideal place for engineers who want to shape the future of AI‑driven operations. Joining Ciroos means working with a passionate, humble, and integrity‑driven team that values loyalty, adaptability, and a relentless drive to innovate.