
Job Overview
Location
Argentina
Job Type
Full-time
Category
Software Engineering
Date Posted
June 13, 2026
Full Job Description
📋 Description
- • Own and deliver high-performance Kafka consumers and producers in Go for a telecom-grade data platform processing millions of data points every 15 minutes
- • Implement windowed aggregation and state handling for real-time streaming pipelines with strict latency and correctness requirements
- • Design and implement retry logic and dead letter queue (DLQ) strategies to ensure data reliability across ingestion sources including DB, API, and SFTP
- • Ensure idempotent writes to time-series databases (TSDB) such as Azure Data Explorer (ADX) or Snowflake
- • Build adapters for diverse data ingestion sources with clean error handling and recovery mechanisms
- • Implement dynamic configuration management using CRD watcher patterns within Kubernetes environments
- • Write production-grade, secure Go code following performance profiling and optimization best practices
- • Work within a fully cloud-native, multi-cloud Kubernetes environment (Azure-first, expanding to AWS/GCP)
- • Contribute to observability infrastructure by establishing logging, metrics, and tracing baselines
- • Deliver against project milestones in a fast-paced Silicon Valley startup environment with shifting priorities
- • Collaborate with cross-functional teams distributed across the US, Asia, and Latin America, requiring clear communication in English under pressure
- • Operate independently with zero REST API surface; all systems are event-driven, internal, and pipeline-first
- • Maintain high reliability and performance standards in systems handling telecom-grade, IoT, or large-scale monitoring data
- • Integrate smoothly with global teams across multiple time zones, ensuring consistent delivery despite geographic and cultural differences
- • Participate in on-call rotations and incident response for critical data pipelines with 24/7 operational demands
- • Maintain and evolve infrastructure using cloud-managed Kubernetes services with a focus on scalability and fault tolerance
- • Adhere to HIPAA and ISO 27001 compliance standards in all code and system design decisions
- • Contribute to technical documentation and knowledge sharing within the engineering team
- • Operate as a self-directed engineer with minimal oversight, accountable for end-to-end delivery of pipeline components
- • Maintain alignment with project timelines and quality benchmarks in a 9–12 month contract engagement
🎯 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
🏖️ Benefits
- • Remote, independent contractor role
- • Compensation: USD/month, based on experience
- • 15 days PTO after 90-day onboarding period + ~8 national holidays
- • L&D budget available after 6 months
- • SourceFuse provides software access; candidate provides own device
- • Engagement: 9–12 months, with potential for reassignment to other projects
Skills & Technologies
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About Latamcent
Latamcent is a market research and data analytics firm focused on the Latin American region. It delivers consumer insights, competitive intelligence, and strategic advisory services to multinational corporations and regional brands. Through syndicated studies, custom research, and advanced analytics, the company helps clients optimize pricing, distribution, and product positioning across diverse Latin American markets. Its multilingual team combines local expertise with global methodologies to provide actionable intelligence for retail, CPG, technology, and financial services sectors.
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