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Software Engineer - Database Integrations

Builds high-throughput real-time data replication integrations from databases like Postgres, MySQL, MongoDB into ClickHouse. Requires 5+ years experience, Go proficiency, cloud-native skills, and Kubernetes; focuses on reliability, edge cases, and customer-driven innovation.

141k – 230kUnited StatesBackend EngineeringRemote5+ YOE

About the role

What You’ll Do

Build data-intensive systems

  • Design and develop high-throughput integrations with databases (Postgres, MySQL, MongoDB), data lakes (Iceberg, Delta Lake), and data warehouses (BigQuery, Snowflake).
  • Handle edge cases in real-world production scenarios: unconventional database setups, internals of data types, database upgrades/failovers, large transactions, etc.
  • Design integration solutions to enable users to fully harness ClickHouse's performance and throughput.

Own end-to-end reliability

  • Debug complex issues in production leveraging runtime diagnostics (e.g. pprof, parca) and observability tools (e.g. metrics, logging, tracing).
  • Build and improve infrastructure and tools to increase system reliability, reduce incident response time, and simplify/automate operations.
  • Write clear documentation, both publicly and internally.
  • Participate in on-call rotation.

Drive product innovation

  • Work directly with customers to understand integration requirements and discover gaps in existing product.
  • Collaborate cross-functionally with internal teams to ensure operational efficiency.
  • Lead technical discussions and influence product roadmaps.

About You

  • 5+ years of industry experience building data-intensive software solutions.
  • Proficient in Go, or experienced in systems programming with willingness to ramp up quickly in Go.
  • Cloud-native experience deploying and operating services on at least one major cloud platform (AWS/GCP/Azure).
  • Practical experience with Kubernetes.
  • Strong problem solver and solid production debugging skills.
  • Clear communication in writing (design docs, code review) and verbally (technical discussions, customer calls, incident response).

Bonus Points

  • Experience with database replication technologies (CDC, logical replication).
  • Experience with durable execution frameworks (Temporal).
  • Experience with data formats and protocols (Avro, Parquet, Protobuf).
  • Experience with modern data processing frameworks (e.g. Kafka, Spark, Flink).
  • Experience with maintaining/contributing to open-source software.

Skills

GoKubernetesAWSGCPAzurePostgresMySQLMongoDBCdcTemporalAvroParquetProtobufKafkaClickHouse

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