Job Opportunities API

ABOUT THE ROLE SourceFuse is looking for a Go Backend Engineer to join the team building the execution layer of a high-throughput data platform. This is a high-impact, technically demanding role where you will own the core streaming and data processing infrastructure — from Kafka-based ingestion through windowed aggregation, KPI computation, and time-series storage. You will work on systems that process millions of data points every 15 minutes, where performance, reliability, and correctness are non-negotiable. The ideal candidate brings deep Go expertise, hands-on Kafka experience in high-throughput environments, and the distributed systems mindset to deliver production-grade pipelines independently — with zero REST API surface. Everything here is event-driven, internal, and pipeline-first. In the first 3–6 months, success means: - Own and deliver high-performance Kafka consumers/producers in Go, meeting throughput and latency requirements - Implement windowed aggregation, state handling, and idempotent writes to TSDB without requiring daily oversight - Build out adapters for DB/API/SFTP ingestion with clean retry and DLQ strategies - Contribute to observability infrastructure and establish profiling baselines - Deliver against project milestones in a fast-paced Silicon Valley startup environment - Integrate smoothly with a cross-functional, globally distributed team (US + Asia time zones) KEY RESPONSIBILITIES - Build high-performance Kafka consumers and producers in Go for a high-throughput data platform - Implement windowed aggregation and state handling for real-time streaming pipelines - Design and implement retry logic and dead letter queue (DLQ) strategies to ensure data reliability - Ensure idempotent writes to time-series databases (TSDB — cloud-native, e.g. ADX, Snowflake) - Build adapters for DB, API, and SFTP-based data ingestion - Implement dynamic configuration management using CRD watcher patterns - Write production-grade, secure code following performance profiling and optimization best practices - Work within a fully cloud-native Kubernetes environment (Azure-first, expanding to AWS/GCP) - Collaborate with cross-functional teams across different cultures, organizations, and time zones REQUIREMENTS - 4–8 years of overall backend engineering experience - 3+ years of hands-on Go development in production environments - Strong knowledge of Go concurrency patterns: goroutines, channels, and sync primitives - Kafka integration experience in high-throughput, event-driven distributed systems (Avro/REST schema, performance tuning) - Docker and Kubernetes proficiency — cloud-managed environments (Azure, AWS, or GCP) - Experience building and maintaining data pipelines and event-driven architectures — not REST API-only profiles - Observability instrumentation (logging, metrics, tracing) - Secure coding practices and performance profiling experience - Strong distributed systems fundamentals - Experience working with high-throughput, high-volume data at scale (e.g. IoT, fintech, adtech, large-scale monitoring, or similar domains) - Excellent communication skills in English — able to articulate technical decisions clearly under pressure - Self-directed and delivery-oriented; able to operate in fast-paced startup environments with shifting requirements - English fluency: C1 or higher (assessed under realistic working conditions) - Must overlap with PST (Pacific Standard Time) working hours PREFERRED QUALIFICATIONS - Experience with large-scale monitoring/observability platforms or high-throughput data systems (highly preferred) - Time-series database experience — ADX (Azure Data Explorer) or Snowflake (highly preferred) - Event-driven architecture depth (highly preferred) - Experience with streaming systems (Flink, Spark Streaming, or similar) - Familiarity with telecom or IoT network data semantics - Experience in platform or