DevJobs

Engineering Team Lead - DCA Infrastructure

Overview
Skills
  • JavaScript JavaScript
  • Node.js Node.js
  • Kafka Kafka
  • MongoDB MongoDB
  • MySQL MySQL
  • PostgreSQL PostgreSQL
  • Redis Redis
  • CI/CD CI/CD
  • AWS AWS
  • Kubernetes Kubernetes
  • RabbitMQ RabbitMQ
  • SaaS
  • SNS
  • SQS
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.
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