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 SaaS control planes * Background working with Silicon Valley or US-based startup teams WHAT WE'RE NOT LOOKING FOR * REST API-only Go engineers with no data pipeline or event-driven architecture experience * CRUD-only backend engineers without distributed systems exposure * Node-only engineers unfamiliar with distributed system design * Go engineers with no Kafka or Kubernetes production experience * Data engineers limited to Spark/Hadoop batch processing * DevOps-focused engineers without system design depth * Engineers resistant to or unfamiliar with cloud-native environments COMPENSATION & LOGISTICS * Remote, independent contractor role * Location: Latin America (Argentina, Brazil, Colombia, Peru preferred) * Time Zone: PST overlap required * Compensation: USD/month, based on experience * Equipment: Candidate provides own device; SourceFuse provides software access * PTO: 15 days (after 90-day onboarding period) + ~8 national holidays * L&D budget available after 6 months * Engagement: 9–12 months, with potential for reassignment to other projects COMPANY OVERVIEW SourceFuse is a global cloud-native technology company helping businesses evolve through digital transformation. With 550+ employees and 20+ years of experience, SourceFuse operates across the USA, UK, Japan, India, and Australia. The company is HIPAA compliant and ISO 27001 certified, serving clients across industries that require enterprise-grade security, scalability, and reliability.