Description

You will build and maintain backend systems and data architectures that power ML and algorithmic products.

This role is on-site.

Responsibilities

• Design and implement cloud-native backend solutions using Python and SQL.
• Build scalable streaming and batch data architectures with PySpark.
• Containerize services using Docker and manage deployments on AWS and GCP.
• Integrate LLM capabilities into internal analytics and personalization workflows.
• Operate within Agile teams using CI/CD and DevOps best practices.

Required Skills

• 5+ years of software engineering experience.
• Expertise in Python, SQL, and PySpark.
• Strong AWS and GCP cloud experience.
• Experience with Docker and containerization.
• Proficiency in CI/CD practices and DevOps.
• Experience with LLMs and AI-enabled applications.
• Strong system design and backend architecture skills.
• Ability to handle ambiguity and changing requirements.

Preferred Skills

• Experience with SageMaker and feature stores.
• Background in hospitality, personalization, or recommendation systems.
• Infrastructure-as-code implementation experience.

Key Skills

Education

Any Graduate