Senior Python Backend Engineer

Frenzy AI is building a next-generation personalization and search platform for e-commerce. We’re looking for a Senior Backend Engineer to help scale the Python backend powering live e-commerce experiences.

This is a backend-first role focused on scalability, search, API performance, and integrating machine learning workflows into production environments. The ideal candidate is senior, hands-on, self-driven, and comfortable working in a small team where ownership and fast learning are essential.

Responsibilities

• Build and scale backend APIs for live e-commerce use cases
• Develop and improve backend functionality for search systems
• Work on scalability, performance, reliability, and cost optimization
• Improve API response times and server-side platform performance
• Integrate machine learning workflows into backend production systems
• Build and support backend components for search, personalization, and recommendation use cases
• Work with technologies such as Python, Flask, MySQL, Redis, Elasticsearch, and AWS
• Own features end-to-end, from design and development to deployment, monitoring, and support
• Collaborate closely with the backend lead and broader team while taking responsibility for core backend work

Frenzy AI is building a next-generation personalization and search platform for e-commerce. We’re looking for a Senior Backend Engineer to help scale the Python backend powering live e-commerce experiences.This is a backend-first role focused on scalab...

• Strong backend engineering experience with Python, ideally Flask or Django
• Proven experience building production-grade REST APIs
• Hands-on experience with MySQL and Redis
• Strong experience with Elasticsearch
• Practical experience with semantic search, relevance tuning, ranking, or recommendation systems
• Strong experience with AWS; ECS experience is preferred
• Experience with AWS data services such as Athena, DynamoDB, Firehose, and S3
• Experience with GitHub workflows, CloudFormation, and CI/CD pipelines
• Working knowledge of JavaScript and React
• Proven experience operating high-scale, low-latency production systems
• Experience working with large codebases or large applications at scale
• Experience integrating AI/ML workflows into production environments
• Ability to work independently, learn quickly, and contribute without heavy day-to-day hand-holding
• Familiarity with Shopify APIs or the Shopify ecosystem is a plus, but not required

Frenzy AI is building a next-generation personalization and search platform for e-commerce. We’re looking for a Senior Backend Engineer to help scale the Python backend powering live e-commerce experiences.

This is a backend-first role focused on scalability, search, API performance, and integrating machine learning workflows into production environments. The ideal candidate is senior, hands-on, self-driven, and comfortable working in a small team where ownership and fast learning are essential.

Responsibilities

• Build and scale backend APIs for live e-commerce use cases
• Develop and improve backend functionality for search systems
• Work on scalability, performance, reliability, and cost optimization
• Improve API response times and server-side platform performance
• Integrate machine learning workflows into backend production systems
• Build and support backend components for search, personalization, and recommendation use cases
• Work with technologies such as Python, Flask, MySQL, Redis, Elasticsearch, and AWS
• Own features end-to-end, from design and development to deployment, monitoring, and support
• Collaborate closely with the backend lead and broader team while taking responsibility for core backend work

Frenzy AI is building a next-generation personalization and search platform for e-commerce. We’re looking for a Senior Backend Engineer to help scale the Python backend powering live e-commerce experiences.This is a backend-first role focused on scalab...

• Strong backend engineering experience with Python, ideally Flask or Django
• Proven experience building production-grade REST APIs
• Hands-on experience with MySQL and Redis
• Strong experience with Elasticsearch
• Practical experience with semantic search, relevance tuning, ranking, or recommendation systems
• Strong experience with AWS; ECS experience is preferred
• Experience with AWS data services such as Athena, DynamoDB, Firehose, and S3
• Experience with GitHub workflows, CloudFormation, and CI/CD pipelines
• Working knowledge of JavaScript and React
• Proven experience operating high-scale, low-latency production systems
• Experience working with large codebases or large applications at scale
• Experience integrating AI/ML workflows into production environments
• Ability to work independently, learn quickly, and contribute without heavy day-to-day hand-holding
• Familiarity with Shopify APIs or the Shopify ecosystem is a plus, but not required