Lead Platform & Data Infrastructure Engineer

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🕒 March 20

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Minga London

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

👗 Fashion

🛍️ eCommerce

🛒 Retail

Fashion • eCommerce • Retail

Minga London is a UK-based alternative fashion brand and online retailer offering edgy, subculture-inspired clothing, footwear and accessories for a young, style-conscious audience. The site features categories like tops, denim, hoodies, knitwear, dresses, swimwear and accessories, editorial content (Mingazine), and promotions such as free shipping over a threshold, buy-now-pay-later, and a newsletter. Minga London operates primarily as a direct-to-consumer eCommerce storefront focusing on trend-driven, niche fashion collections and seasonal drops.

📋 Description

• Lead evolution of our Kubernetes-based infrastructure • Improve resilience, scalability, and fault isolation • Strengthen networking, database connection strategies, and service reliability • Reduce production risk through proactive reliability engineering • Design and implement reliable data pipelines from product systems to our data warehouse • Help decouple OLTP workloads from analytics workloads • Improve data reliability, monitoring, and lineage • Collaborate with product and analytics stakeholders to support reporting needs • Ensure data systems scale with customer growth and usage patterns • Improve CI/CD reliability and deployment confidence • Simplify local and ephemeral development environments • Build repeatable infrastructure patterns via infrastructure-as-code • Reduce friction for engineers shipping features • Improve logging, metrics, tracing, and system visibility • Define SLIs/SLOs for both product runtime and data systems • Lead technical post-incident reviews and systemic improvements • Establish clarity in operational health reporting

🎯 Requirements

• 7+ years in backend, infrastructure, or platform engineering • Strong production experience with Kubernetes • Experience operating systems on GCP (or similar cloud provider) • Experience building or maintaining data pipelines and warehouse integrations • Strong understanding of database scaling, connection management, and replication • Experience with CI/CD systems and infrastructure-as-code • Familiarity with containerized environments (Docker) • Strong debugging skills in distributed systems • Clear written and verbal communication skills

🏖️ Benefits

• 15 Days vacation + 5 Flex Days • Health, dental, and vision benefits for you & your family • Mental health and wellness support