About Ciroos At Ciroos, our mission is to provide an AI SRE teammate that empowers SREs to be superheroes. We're redefining observability with agentic AI, building cutting-edge solutions that solve complex engineering challenges. We don't play it safe—we build, test, and iterate at lightning speed in service of our customers. Position Overview We're seeking a passionate Backend System Engineer to build the future of observability infrastructure powered by AI agents. You'll design and implement high-performance, scalable systems from the ground up in a fast-paced startup environment where you can make a real impact. If you're excited by the challenges of AI-human interaction and love solving complex distributed systems problems, this role is for you. Key Responsibilities Design and implement highly scalable, low-latency microservices architecture for observability platforms Build and maintain cloud-native infrastructure using Kubernetes and modern container orchestration Develop large-scale data analytics pipelines for real-time observability and monitoring Integrate AI agents with existing infrastructure systems and observability tools Optimize system performance, reliability, and throughput for high-volume data processing Design and implement distributed messaging systems and event-driven architectures Collaborate with AI/ML teams to enable seamless human-AI interactions in SRE workflows Build robust APIs and services that support real-time analytics and alerting Participate in system architecture decisions and technical design reviews Ensure system security, monitoring, and operational excellence Qualifications Experience: 3+ years building highly scalable, distributed backend systems Programming Languages: Proficiency in Rust, Go, Python for backend development Distributed Systems: Deep hands-on experience with microservices, distributed databases, and messaging systems (Kafka, RabbitMQ, etc.) Analytical Databases: Strong knowledge of ClickHouse, Apache Pinot, or similar columnar databases Cloud Infrastructure: Experience with AWS, GCP, or Azure cloud platforms Container Orchestration: Hands-on experience with Kubernetes and Docker Observability Standards: Knowledge of OpenTelemetry, Prometheus, and monitoring best practices Computer Science Foundation: Strong understanding of algorithms, data structures, and system design Statistics & Analytics: Knowledge of statistical methods and data analysis techniques Problem-Solving: Excellent analytical and troubleshooting skills Collaboration: Ability to work effectively in a fast-paced, team-oriented environment Show more Show less
As a Backend System Engineer at Ciroos, you will be responsible for designing and implementing highly scalable, low-latency microservices architecture for observability platforms. Your role will involve building and maintaining cloud-native infrastructure using Kubernetes and modern container orchestration, as well as developing large-scale data analytics pipelines for real-time observability and monitoring. You will also be tasked with integrating AI agents with existing infrastructure systems and observability tools to optimize system performance, reliability, and throughput for high-volume data processing. In this role, you will design and implement distributed messaging systems and event-driven architectures, collaborating closely with AI/ML teams to enable seamless human-AI interactions in SRE workflows. Your responsibilities will also include building robust APIs and services that support real-time analytics and alerting, participating in system architecture decisions and technical design reviews, and ensuring system security, monitoring, and operational excellence. To qualify for this position, you should have at least 3 years of experience in building highly scalable, distributed backend systems. Proficiency in programming languages such as Rust, Go, and Python for backend development is required, along with deep hands-on experience in microservices, distributed databases, and messaging systems like Kafka and RabbitMQ. Strong knowledge of analytical databases such as ClickHouse, Apache Pinot, or similar columnar databases is essential, as well as experience with cloud platforms like AWS, GCP, or Azure, container orchestration using Kubernetes and Docker, and observability standards including OpenTelemetry, Prometheus, and monitoring best practices. A solid foundation in computer science principles including algorithms, data structures, and system design, along with knowledge of statistical methods, data analysis techniques, excellent problem-solving skills, and the ability to work effectively in a fast-paced, team-oriented environment are also key qualifications for this role. If you are excited by the challenges of AI-human interaction and enjoy solving complex distributed systems problems, this position offers you the opportunity to make a real impact in a cutting-edge startup environment at Ciroos.,