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.