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Location
Hybrid (Sydney, Melbourne, Australia)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Jul 30, 2026. BLiNQ scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Converged Wireless Enterprise Solutions Our all-in-one 4G and 5G AI-enabled solutions are built for private enterprise networks, delivering smart, secure, and future-ready connectivity.

What You'll Do

  • Design, build, and operate scalable backend services and APIs using Node.js and TypeScript

  • Own features end-to-end - from technical discovery and data modelling through to rollout, observability, and ongoing improvement

  • Build systems that support high-volume, real-time experiences across contact sharing, lead capture, analytics, and third-party integrations

  • Improve the reliability, performance, security, and testability of our backend platform

  • Make pragmatic architectural decisions, improve core abstractions, and reduce technical debt as the product scales

  • Collaborate closely with product, web, mobile, design, and data teams to turn ambiguous problems into simple, high-impact solutions

  • Contribute to code reviews, technical planning, and system design, helping other engineers do their best work

  • Use and help evolve AI-assisted engineering workflows that improve developer leverage without compromising quality

What You'll Bring

  • 5+ years of experience building and operating production backend systems, ideally within fast-moving product or startup environments

  • Strong experience with Node.js and TypeScript, including a solid understanding of asynchronous and event-driven architectures

  • Strong foundations in API design, data modelling, databases, distributed systems, and backend security

  • Experience designing reliable, observable services in a cloud environment; GCP experience is preferred

  • A track record of owning complex technical work from problem definition through to production

  • Strong product judgment and the ability to balance speed, scalability, quality, and customer impact

  • Clear communication skills and a collaborative approach to technical decision-making, code reviews, and mentoring

  • Curiosity about AI-native development and experience using AI tools to improve how you design, build, test, or operate software

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