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Go Backend Engineer
Latamcent
Argentina
Role overview
Job description
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.
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.