Kogan.com runs a dual-cloud data stack — BigQuery, Vertex AI and Cloud Run on GCP alongside AWS Glue, Snowflake, Airflow and dbt — with SQL Server and C# still underpinning core systems, where performance tuning is a recurring pain. Hiring tilts toward engineering and marketing, matching active work on MLOps automation, CRM programs and marketing automation, while logistics and warehousing cost pressure dominates the challenge list.
Kogan.com is a publicly listed online retailer headquartered in South Melbourne, Victoria, founded in 2006. It sells to consumers in Australia and New Zealand across categories including consumer electronics, gadgets, home and garden, sports and outdoors, tools and automotive, and fashion. The company employs 201–500 people and operates multiple stores and brands, including a marketplace model with third-party sellers. Its operations span engineering, marketing, purchasing, logistics and design, with hiring concentrated in Australia.
Kogan.com uses Python, TypeScript, C# and SQL Server, with AWS and GCP clouds, BigQuery, Snowflake, Airflow, dbt, Vertex AI, plus Salesforce Marketing Cloud and SAP Business One.
Yes — engineering is the largest hiring area at Kogan.com, followed by marketing and purchasing, with steady velocity and mostly mid-level roles based in Australia.
Current initiatives include MLOps pipeline automation, CRM programs across its stores and brands, marketing automation, category expansion, seller onboarding and growing its gaming and technology range.
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Kogan.com's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
