Backend Engineer ( Infrastructure )

Responsibilities

• Design and build modular, portable, productionready code that runs on any cloud (AWS, GCP, Azure) or onpremise.
• Reengineer our existing platform to turn complex business and retail needs into reusable, scalable components.
• Create AIdriven modules that integrate research models into reliable, scalable business solutions.
• Drive feature cycles, enforce architecture patterns, coding standards, and DevOps/MLOps best practices across the team.
• Conduct code reviews, promote engineering excellence, and ensure all deliverables meet security, performance, and maintainability requirements.

Requirements

• Bachelor's or Master's in Computer Science, AI, Operations Research, or a related field.
• 4+ years building and shipping software systems.
• Experience provisioning infrastructure as code on at least one major cloud provider.
• Comfortable deploying software in cloud and onprem environments using Docker, Kubernetes, and CI/CD pipelines.
• Background designing microservices, APIs, and system architectures.
• Strong Python skills and familiarity with:
  • SQL (MySQL, PostgreSQL) & NoSQL (e.g., MongoDB) databases
  • Testing frameworks such as PyTest for unit/integration testing
• Experience deploying AI models to production, using orchestration tools (Airflow, Prefect, Ray, etc.) and reporting tools (Tableau, Holistics) is a plus.
• Prior work on inventory optimization, demand forecasting, or supplychain AI solutions is a plus.

What We Offer

• Ownership of a core AI product from day one, shaping its direction.
• A collaborative, innovationfirst culture that values speed, integrity, and technical depth.
• Competitive compensation.