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
You 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 thorough testing
Preferred Qualifications
Experience with time-series data and understanding of metrics cardinality challenges
Proficiency with SQL and experience working with relational or distributed databases
Experience building cloud-native SaaS platforms with multi-tenant architecture
Multi-cloud experience: working with AWS, GCP, Azure, or other cloud providers in a production setting
Kubernetes proficiency: operating, monitoring, or developing for Kubernetes clusters
OpenTelemetry expertise: experience with, or active contributions to OTel projects
Time-series database experience: Prometheus TSDB, InfluxDB, Mimir, TimescaleDB, or SingleStore
Experience with data pipeline technologies: Apache Kafka, Parquet, Arrow, or stream processing frameworks (Flink, etc.)
Experience working with AI agents or LLM-powered applications, including agentic workflows for observability — enabling customers to query telemetry data in natural language
Experience in a SaaS or cloud-native company delivering managed services to customers
SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. For candidates residing in California, please see ourCalifornia Recruitment Privacy Notice*. For candidates residing in the EEA, UK, and Switzerland, please see our* EEA, UK, and Swiss Recruitment Privacy Notice.
