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High-Performing Engineering Leader Wanted

3 weeks ago

Sydney, New South Wales, Australia beBeeEngineering Full time $200,000 - $250,000

Job Opportunity:

We are looking for an experienced Senior Engineering Manager to lead and grow a high-performing engineering team in Australia/New Zealand.

The successful candidate will be responsible for building the core runtime for machine learning-powered search at scale, architecting and optimizing distributed systems for low latency, high reliability, and cost efficiency.

About the Team:

The Search Runtime team powers the intelligence behind our search functionality, delivering real-time, machine learning-powered search across various products. We build and operate high-performance, low-latency systems that make search fast, context-aware, and reliable for millions of users.

Key Responsibilities:

  • Lead and grow a high-performing engineering team based in ANZ
  • Architect and optimize distributed systems for very low latency, high reliability, and cost efficiency
  • Collaborate closely with machine learning engineers, product, and AI teams to turn research into production quickly
  • Drive technical strategy and execution for search infrastructure, ensuring we deliver instant, relevant answers across all enterprise knowledge
  • Foster a culture of engineering excellence, continuous learning, and innovation

Requirements:

  • Proven experience leading engineering teams (4+ years) running business-critical, distributed systems in search, information retrieval, or machine learning-powered platforms domains
  • Deep technical expertise in building and operating large-scale, low-latency systems
  • Track record of enabling fast, iterative delivery and experimentation for machine learning or search features
  • PASSION FOR MENTORING, DEVELOPING TALENT, AND BUILDING INCLUSIVE, HIGH-PERFORMING TEAMS

Benefits:

  • Shape the future of AI-powered search and knowledge discovery
  • Work with world-class engineers on cutting-edge distributed systems and machine learning challenges
  • Make a direct impact on how teams everywhere find and use knowledge