Senior Go Backend Engineer

About the role

SourceFuse is looking for a Senior Go Backend Engineer to join the team building the execution layer of a telecom-grade 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)

Responsibilities

• Build high-performance Kafka consumers and producers in Go for a telecom-grade 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, multi-cloud 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 telecom-grade, IoT, or large-scale monitoring data at high throughput
• 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
• Experience with telecom or large-scale monitoring/observability platforms (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)
• gRPC services in Go
• Familiarity with telecom network data semantics
• Multi-cloud architecture experience
• 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 bus

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