Affiliate Platform Engineer — Remote Options

Lyst

Greater London

Hybrid

GBP 75,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Private Healthcare
Training Allowance
Pension Scheme
Cycle-to-Work Scheme
Transport Season Ticket Loan
Annual holidays 29
Clothing Allowance
Eye Tests and Vouchers
Social Events

Job summary

Lyst is seeking a backend-focused engineer to build and maintain revenue-critical services powering our affiliate platform. You will work across product data pipelines, bidding systems, and integrations to enable scalable growth.

Join a data-driven, collaborative squad in London with hybrid office days and remote options. Expect ownership from design to production, rigorous testing, and a culture of automation and reliability.

Qualifications

  • Proven experience building production web applications using Python and Django.
  • Strong understanding of relational data modeling and backend architecture.
  • Experience with AWS, Docker, and modern CI/CD pipelines.
  • Familiarity with data pipelines, observability, and automated testing.

Responsibilities

  • Develop and maintain services powering Lyst's affiliate platform—from data pipelines to bidding systems.
  • Collaborate with Product, Marketing, Partnerships, Analytics, and Engineering to improve platform effectiveness.
  • Champion reliability, observability, and automation across production systems.

Skills

Python
Django
AWS
Docker
ECS
PostgreSQL
Redis
Snowflake
SQS
SNS
GitHub Actions
Testing
CI/CD
Observability
Automation
Communication
Collaboration

Tools

Shopify
Magento
Salesforce Commerce Cloud

Job description

Lyst is seeking a backend-focused engineer to build and maintain revenue-critical services powering our affiliate platform. You will work across product data pipelines, bidding systems, and integrations to enable scalable growth.

Join a data-driven, collaborative squad in London with hybrid office days and remote options. Expect ownership from design to production, rigorous testing, and a culture of automation and reliability.

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