Technical Lead

Overview

Application

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.