Chief Technology Architect for Scalable Systems

6 days ago

Sydney, New South Wales, Australia beBeeTechnical Full time $175,000 - $235,000
Technical Leadership

We are seeking an experienced SRE Tech Lead/Expert to play a critical role in developing and maintaining scalable, production-grade AI Platform systems.


As a key member of our Technical Infrastructure team, you will lead a high-performing SRE engineering team focused on developing and maintaining scalable, production-grade AI Platform systems, with emphasis on reliability, performance, and operational excellence.


Main Responsibilities:
  • Lead hands-on technical contributions in system design and implementation while effectively managing team growth, performance, and professional development.
  • Provide strategic technical direction and architectural guidance to strengthen engineering practices, mentor team members, and drive technical excellence across collaborative projects.
  • Build strong partnerships across engineering teams, business units, and external stakeholders to align technical initiatives with organizational goals and drive successful outcomes.
  • Champion innovation within the team by evaluating emerging technologies, implementing modern engineering practices, and driving continuous improvements to the AI Platform infrastructure.

Qualifications

Minimum Qualifications:

  • Bachelor's degree in Computer Science or a related field involving software/system engineering, or equivalent working experience.
  • Solid foundation in software engineering principles, algorithms, and data structures.
  • Deep understanding of Linux systems, distributed storage architectures, networking fundamentals, and system performance optimization.
  • Proficiency in at least one modern programming language (Python, Go, or Java), experienced in applying software design patterns and clean code principles in production environments.
  • Demonstrated ability to lead technical teams through complex projects and changing priorities.

Preferred Qualifications:

  • 5+ years of relevant software engineering experience, including team leadership.
  • Extensive hands-on experience with distributed storage technologies (KV stores, Redis, MySQL, MongoDB).
  • Strong background in message queuing systems (Kafka, RabbitMQ) and data processing frameworks.
  • Production experience with container orchestration (Kubernetes), microservices architecture, and cloud-native technologies.
  • Demonstrated track record of building and operating large-scale distributed systems.

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