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SingleStore engineers build the real-time data platform powering some of the world’s most demanding applications. Our cloud-native architecture enables high-performance transactional and analytical workloads at scale, and our teams ship production code continuously throughout the year. We operate in a fast-moving, highly collaborative environment where engineers own their work end-to-end and partner closely across Product, Sales, and Go-To-Market teams to deliver meaningful business impact. Position Summary We are seeking a Software Engineer to join the Observability Team and play a critical role in designing and delivering core capabilities for SingleStore's observability platform. This is a hands-on engineering role with end-to-end ownership of features and projects at the intersection of distributed systems, cloud infrastructure, database technology, and AI-powered observability. As a Software Engineer on this team, you will solve complex system-level problems, contribute meaningfully to technical direction, and partner with Product and customer-facing teams to ensure our platform meets the needs of enterprise customers and new adopters alike. What the team provides: Comprehensive customer observability over their workloads — enabling customers to understand their usage patterns, identify bottlenecks, optimize performance, and leverage powerful alerting capabilities. Our platform unifies traces, logs, and metrics through an open-source-first approach. This is an ideal role for an engineer who thrives on deep technical challenges, takes pride in building durable systems, and is excited about bringing AI-powered observability experiences to customers. What you'll do: Design and implement scalable observability features for traces, logs, and metrics — spanning ingestion, processing, storage, and visualization Work across control plane and data plane components in a multi-cloud environment (AWS, GCP, Azure), ensuring reliable operation and data consistency at scale Build high-throughput data pipelines that process telemetry data using OpenTelemetry Collector and related open-source tooling Develop and maintain alerting capabilities with Alertmanager, enabling customers to define, tune, and manage alerts with routing, inhibition, and notification management Optimize time-series data storage and query performance using SingleStore DB, handling high-cardinality data and complex analytical queries Contribute to data visualization dashboards in Grafana, creating intuitive customer-facing experiences to explore telemetry data Collaborate closely with Product Management to translate customer and business requirements into robust technical solutions Investigate and resolve difficult issues in production and development environments, debugging data synchronization across distributed systems and cloud providers Participate in on-call rotations to ensure system reliability and respond to incidents promptly Your Experience: 2+ years of professional software development experience building distributed systems or backend services Strong proficiency in Go (Golang) — experience with Rust, Python, or C++ is also valuable Deep understanding of distributed systems concepts: scalability, consistency, high availability, concurrency, and failure modes Familiarity with distributed systems managed via Kubernetes Demonstrated ability to design and build reliable, high-performance system software Experience working in environments where performance, scalability, and reliability are critical Familiarity with observability concepts: traces, logs, metrics, APM, and monitoring patterns Strong problem-solving and debugging skills with the ability to root-cause complex production issues Excellent communication skills, both written and verbal, with ability to collaborate in multicultural, remote-first teams Code quality mindset: you value simplicity, performance, maintainability, and tho