Architect high-throughput Kafka-based streaming pipelines
Design and implement distributed microservices in Go and Node.js/TypeScript
Define partitioning strategies, concurrency models, and windowed aggregation patterns
Design for near-real-time streaming evolution
Lead scaling, reliability, and performance strategy across services
Ensure cloud-agnostic, Kubernetes-native deployment architecture
Implement resilient streaming patterns including retries, DLQs, idempotency, and backpressure handling
Design schema evolution strategies using Avro or Protobuf with Schema Registry
Build systems capable of processing 10M+ messages per day
Guide dynamic configuration using CRDs and Kubernetes operator patterns
Define observability standards using OpenTelemetry, metrics, and tracing
Ensure secure container practices including SBOM, CVE hygiene, and image hardening
Define CI/CD strategies for secure and reliable deployment
Design multi-tenant cloud-ready environments
Establish metrics-driven scaling and monitoring standards
Conduct architectural reviews and mentor engineers
Guide teams across time zones in a distributed environment
Collaborate cross-functionally with product and domain stakeholders
Bring telecom domain awareness into system design decisions

Requirements

8+ years of software engineering experience
5+ years building distributed systems at scale
2+ years of strong Go experience (preferred but highly valued)
Strong experience with Kafka including consumer groups, partitions, retries, DLQ, and performance tuning
Experience building high-throughput microservices handling 10M+ messages per day
Strong understanding of concurrency models (goroutines, channels)
Experience with Kubernetes including pods, scaling, Helm, CRDs, and operators
Experience with Node.js / TypeScript backend services
Experience with time-series databases such as InfluxDB or Prometheus
Strong understanding of cloud-native design principles
Experience implementing observability frameworks (OpenTelemetry, metrics-driven scaling)

Benefits

Remote-first team across Latin America
Exposure to modern streaming, cloud-native, and distributed systems challenges

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GoNode.jsTypeScriptKafkaKubernetesAvroProtobufOpenTelemetryCI/CDtime-series databases

Soft Skills

leadershipmentoringcollaborationcommunicationscaling strategyreliabilityperformance strategyarchitectural reviewscross-functional collaborationguiding distributed teams