
Staff Engineer – Network Automation
3 weeks ago
We're on a mission to accelerate the bank's network engineering capabilities through breakthrough automation and seamless, intelligent workflows. Our squad is ushering in a new era of network testing, shifting it from isolated events to a continuous, AI-driven process and introducing smart, context-aware solutions to empower engineers across the enterprise.
This is an ideal opportunity for experienced Network Automation Engineers or Software Developers passionate about building innovative, AI-enabled tools that drive real transformation in network engineering and delivery.
Your Impact and ContributionAs a core member of our team, you'll play a key role in creating and scaling intelligent solutions that transform the way we test, integrate, and deliver modern network services. Your focus will be on harnessing AI, automation, and modern software practices to radically improve speed, quality, and confidence in network change. In this role, you may expect to:
- Design, build, and maintain AI-driven solutions for accelerated network testing, enabling rapid, reliable validation of complex network changes.
- Create intelligent automation tools and interactive, context-aware applications that simplify network workflows and empower engineering teams.
- Develop and integrate context-aware automation powered by MCP (Model Context Protocol) and AI agent frameworks to advance intelligent network engineering.
- Develop robust integration frameworks and self-service experiences, allowing for seamless adoption of innovative network capabilities.
- Apply data science, machine learning, and advanced analytics to proactively identify network risks, support automated decision-making, and enhance the experience of engineering users.
- Implement automated test pipelines and validation tools using CI/CD workflows to support shift-left and continuous network assurance.
- Collaborate closely with network engineers, software developers, and platform teams to embed AI/ML capabilities throughout the network lifecycle and drive adoption of next-generation test strategies.
- Document best practices, architectural patterns, and operational guides to support rapid adoption and scale of AI-driven solutions.
- Extensive hands-on experience as a Network Automation Engineer and/or Software Developer within the network engineering space.
- Demonstrated expertise in network testing, validation, and automation, including experience with AI-driven or intelligent testing frameworks.
- Strong proficiency in Python and frameworks like FastAPI or Django REST for developing APIs, automation tools, and integrations.
- Background applying data-driven, AI, or machine learning approaches to network engineering, automation, or related domains (desirable).
- Solid understanding of CI/CD, DevOps workflows, and automated testing in complex network environments.
- Experience building APIs, microservices, or distributed automation architectures.
- Excellent communication, collaboration, and documentation skills.
- A delivery-focused, innovative mindset and willingness to work across multidisciplinary teams.
- Shape the future of network engineering through AI-powered automation and smarter tooling.
- Be part of a high-impact, innovative initiative with enterprise-wide visibility and influence.
- Hybrid working model with strong flexibility and autonomy.
- Competitive salary, bonus, and employee benefits.
- Access to industry-leading tools and continuous professional development.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We're keen to support you with the next step in your career.
We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
Advertising End Date: 18/09/2025
Seniority level- Mid-Senior level
- Full-time
- Engineering and Information Technology
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