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Software Engineer 2 - Azure Ecosystems Engineering

Mid levelFull-timeHybridSydney NSW, AustraliaBrisbane QLD, AustraliaMelbourne VIC, AustraliaBrisbane QLD, AustraliaInformation technologySoftware engineeringProduct managementPosted 5 days ago
View your fit0 of 9 criteria met

About the job

As a Software Engineer II in the Azure Experience & Ecosystems Engineering team, you will play a crucial role in building the Microsoft Learn product, which enhances how people engage with Microsoft's technology. This job offers an exciting opportunity to tackle unique engineering challenges in AI, frontend and backend services, and to innovate learning experiences that empower individuals to develop in-demand skills. The team thrives on collaboration, growth, and a culture of inclusion, where everyone is encouraged to contribute and succeed together.

You'll be responsible for

🤝

Collaborating with teams

Working with product management, design, and data analyst teams to determine user requirements for a set of features.
📝

Developing design documents

Contributing to the identification of dependencies and the development of design documents for a product area with little oversight.
💻

Implementing code

Creating and implementing code for a product, service, or feature, reusing code as applicable.

Skills you'll need

🖥️

Programming languages

Proficiency in coding languages such as C, C++, C#, Java, JavaScript, or Python.
☁️

Cloud service development

Experience in cloud service development using technologies like HTTP, HTML, JavaScript, CSS, .NET, Node.js, and REST APIs.
🧩

Problem-solving skills

Demonstrated problem-solving, design, and debugging skills with a passion for quality and performance.
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Meet the team

About the company

View your fit

0 of 5 criteria met
2+ years of coding experience
Proven experience coding in languages like C#, Java, or Python.

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2+ years in cloud service development
Demonstrated experience with HTTP, HTML, JavaScript, and REST APIs.

View

1+ year in problem-solving and debugging
Strong skills in design and debugging with a focus on quality.

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Experience with cloud-native architecture
Familiarity with microservices and asynchronous workflows.

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Experience with AI-assisted tools
Knowledge of tools like GitHub Copilot and large language models.

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