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Staff Software Engineer

NuageSydney, Sydney🇦🇺AustraliaPosted 7 Aug 2026

Why This Role Stands Out

Shape the future of enterprise cloud applications with this impactful Staff Software Engineer role, offering hands-on architecture and leadership opportunities within a growing consultancy. You'll thrive here if you possess strong .NET and AWS expertise, enjoy mentoring others, and are eager to leverage cutting-edge AI tools in a flexible hybrid environment. Apply now to lead complex technical initiatives and contribute to scalable, secure cloud-native platforms.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Sydney, Sydney, Australia
DockerMicroservicesAWSC#.NETGenerative AIKubernetesRESTTerraform

Job Description

Staff Software Engineer .NET & AWS

6-month contract Sydney Hybrid

We're partnered with a fast-growing consultancy with enterprise clients. This role is suitable for an experienced Senior Software Engineer to lead the design and delivery of scalable, secure cloud-based applications.

You'll work hands-on across architecture, development and deployment, while guiding engineers and helping shape technical direction.

Key responsibilities
  • Design and build enterprise applications using .NET, C# and AWS
  • Lead architecture and system design for cloud-native platforms
  • Deliver solutions from development through to production support
  • Build secure APIs, microservices and event-driven systems
  • Mentor engineers and support technical decision-making
  • Use AI-assisted development tools to improve delivery and code quality
Required experience
  • Strong commercial experience with .NET, .NET Core and C#
  • Deep AWS and cloud-native development experience
  • Proven solution architecture and distributed systems experience
  • Experience with REST APIs, microservices and event-driven architecture
  • Hands-on knowledge of Docker, Kubernetes, Terraform and CI/CD
  • Strong understanding of security, testing, observability and production reliability
  • Experience leading complex technical initiatives

Experience with Generative AI, Amazon Bedrock, RAG, LLMs or vector databases would be highly regarded.

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