Technical Lead

Role Overview We are building a cloud-native, telecom-grade data engineering platform that ingests and processes massive observability workloads across distributed network domains. The platform follows a disaggregated microservices architecture, is Kafka-centric, Kubernetes-native, cloud-agnostic, and designed for future near-real-time processing. We are looking for a Technical Lead to: - Architect high-throughput streaming pipelines - Lead design decisions - Build microservices architecture in Go - Define performance, reliability, and scaling strategies - Guide teams on concurrency, partitioning, and state management - Bring telecom domain awareness into system design Key Responsibilities - Design and implement high-throughput Kafka-based data pipelines in Go - Architect microservices in Go - Define partitioning strategies and windowed aggregation patterns - Design for near real-time streaming evolution - Ensure cloud-agnostic Kubernetes-native deployment - Implement resilient patterns (retry, DLQ, idempotency, backpressure) - Guide dynamic configuration via CRDs and operator patterns - Define observability standards (OpenTelemetry, metrics, traces) - Ensure production-grade security posture (SBOM, CVE hygiene, image hardening) - Mentor engineers and conduct architectural reviews Must-Have Technical Skills - Strong Go experience in distributed systems - Strong experience with Kafka (consumer groups, partitions, retries, DLQ, performance tuning) - Experience building high-throughput microservices (10M+ messages/day) - Kubernetes (pods, scaling, Helm, CRDs, operators) - Experience with time-series databases (InfluxDB, Prometheus, etc.) - Strong understanding of concurrency models (goroutines, channels) - Cloud-native design principles - Observability (OpenTelemetry, metrics-driven scaling) - Strongly Preferred: - Telecom domain exposure (3GPP, O-RAN, PM/KPI, OSS/BSS) - Experience designing for multi-tenant cloud environments - Experience with schema evolution (Avro/Protobuf + Schema Registry) - Experience with CI/CD and secure container pipelines - Familiarity with telecom network data semantics - Nice to Have: - Experience building K8s operators in Go - Experience with stateful stream processing patterns - Experience in data governance or telecom compliance Why Join? - Work with a high-scale, telecom-grade distributed data platform - Influence architecture at a foundational stage - Remote-first team based across LATAM - Exposure to cutting-edge cloud-native, streaming, and distributed systems challenges COMPANY OVERVIEW Our client is a global technology company with 19+ years of experience and 550+ employees worldwide. They specialize in cloud-native digital transformation solutions across industries and operate across the USA, UK, Japan, India, and Australia. They are known for strong engineering standards, agility, and customer success.