Backend Engineer - C#/.NET, SQL, AI-Driven Impact

Kogan.com; Melbourne; Vor Ort; AUD 110.000 - 160.000; Vollzeit

Benefits dieser Stelle

AI‑Native Engineering culture

Learning budget

Health & Wellness program

Team discounts

Career development opportunities

Zusammenfassung

Kogan.com is seeking a Backend Software Engineer to join our engineering team in Australia. You will build and support backend services using C#/.NET, optimize SQL Server queries, and develop APIs across core business systems.

You’ll tackle production issues, improve performance, and drive scalable solutions in a fast-moving environment. Strong ownership and problem-solving skills are essential as you contribute to architecture decisions and automation initiatives that help power our data-heavy

Qualifikationen

• Strong C#/.NET experience with real-world backend systems.
• Deep knowledge of SQL Server, including queries and performance tuning.
• Experience with Entity Framework and API development.
• Ability to diagnose complex production issues and deliver sustainable fixes.
• Proven track record in building scalable, reliable backend services.

Aufgaben

• Build and maintain backend services using C#/.NET and EF.
• Design and optimise SQL Server queries, views, and indexes.
• Develop and integrate APIs across critical business systems.
• Troubleshoot production issues across applications and databases.
• Improve system performance and reliability for high-volume platforms.
• Automate repetitive tasks and improve engineering tooling.

Kenntnisse

C#/.NET

Entity Framework

SQL Server

REST APIs

Distributed systems

Problem solving

Ownership

Jobbeschreibung

Kogan.com is seeking a Backend Software Engineer to join our engineering team in Australia. You will build and support backend services using C#/.NET, optimize SQL Server queries, and develop APIs across core business systems.

You’ll tackle production issues, improve performance, and drive scalable solutions in a fast-moving environment. Strong ownership and problem-solving skills are essential as you contribute to architecture decisions and automation initiatives that help power our data-heavy