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LeadFull-timeTypeScriptNode.jsKubernetesMicroservicesCI/CDGitGo
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Technical Lead to architect and scale a cloud-native, telecom-grade data engineering platform designed to process massive observability workloads across distributed network domains.
Key Responsibilities
- →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
- ✓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)
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