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Software Engineer for Process Automation

3 weeks ago


Brisbane, Queensland, Australia beBeeAutomation Full time $150,000 - $200,000

About this role

We are seeking an experienced software engineer to drive efficiency across our company by applying cutting-edge technologies, especially agentic AI, to revolutionise internal processes and automate the entire product delivery lifecycle.

The Role
  • Architect and deliver AI-powered solutions to automate workflows across the entire product delivery lifecycle.
  • Own and evolve foundational shared infrastructure.
  • Drive strategic internal process automation to eliminate toil and accelerate development cycles.
  • Collaborate with cross-functional teams to develop impactful tooling solutions that transform how we work.
  • Provide technical vision and leadership, fostering a culture of excellence and innovation.
  • Champion research and innovation in AI, software development, and DevOps, with a focus on applying new technologies to the product delivery lifecycle.

Success in 6 Months:

  • Developed a deep understanding of our entire product delivery lifecycle, identifying key areas ripe for automation and AI-driven transformation.
  • Built strong relationships with Product, Engineering, and other stakeholders across the product delivery lifecycle.
  • Delivered a robust Internal Tooling roadmap focused on delivering value and internal automation.
  • At least 1x major initiative delivered.

What You'll Bring:

  • Passion for AI and automation, particularly agentic AI, and its application to the product delivery lifecycle.
  • Expertise in cloud-native technologies (GCP experience is a bonus).
  • Strong DevOps foundation (CI/CD, infrastructure-as-code, monitoring).
  • Proven technical leadership and mentorship skills.
  • Exceptional communication skills.
  • Bonus: Experience with specific agentic AI frameworks, contributions to open-source projects related to tooling, automation, or AI, experience with data engineering and building data pipelines, familiarity with low-code/no-code platforms for internal tooling.