Engineering Team Lead - DCA Infrastructure
Bright Data (formerly Luminati Networks)
Posted on Feb 10, 2026
Description
We’re looking for a hands-on, highly technical Team Leader to lead our Data Collectors Core Infrastructure team (DCA_CORE). This team owns core infrastructure services that are foundational to our platform’s stability, scalability, and developer productivity.
You’ll lead a small, high-impact team of 2 engineers in a remote/distributed environment, and you’ll be deeply involved in architecture, coding, reviews, and operational ownership.
Responsibilities
- Lead a small remote team while staying hands-on: design, implement, and review production-grade code.
- Own the architecture and delivery of core DCA infrastructure services, from design through production rollout and continuous improvement.
- Build and operate high-scale SaaS services on AWS, with strong emphasis on reliability, performance, and operational excellence.
- Design and maintain message-driven components using pub/sub systems and asynchronous processing.
- Drive engineering excellence: CI/CD, testing strategy, release safety, monitoring/alerting, and postmortems.
- Partner cross-functionally with R&D, Product, and Operations on priorities, interfaces, and dependencies.
- Mentor and grow engineers via technical leadership, feedback; support hiring as needed.
- Act as an escalation point for production issues: investigate, mitigate, and lead root-cause analysis.
Requirements
- 6+ years of hands-on backend/infrastructure engineering experience.
- Strong, hands-on JavaScript / Node.js experience.
- 2+ years experience leading engineers as a Team Lead / Tech Lead, including in a remote/distributed setup.
- AWS + SaaS experience (design, deployment, monitoring, cost/performance considerations).
- pub/sub or message queue experience (e.g., Kafka, RabbitMQ, SNS/SQS, Redis Streams), including patterns such as retries, idempotency, DLQ and backpressure.
- Data stores experience including: MongoDB, Redis, Relational DBs (PostgreSQL/MySQL or similar)
- Kubernetes / containerized workloads experience.
- Production ownership mindset: observability, incident response, performance tuning, and reliability improvements.
- Excellent communication skills in English.