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.