Engineering Manager - Platform Backend Systems

Company Overview

CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai.

Job Title: Engineering Manager - Platform Backend Systems 

Experience: 10-13 Years (2-3+ Years as Team Lead) 

Summary:

We need a hands-on Engineering Manager with deep backend expertise (Java/Spring Boot, Spark, AWS, K8s) and strong leadership skills. You'll drive the architecture, development, and scaling of high-performance, quality-first systems while mentoring engineers and fostering innovation. Understanding modern frontend (Vue.js) for collaboration is key.

What You'll Do:

• Lead, mentor, and grow a backend engineering team.
• Architect and build scalable microservices (Spring Boot) and data processing pipelines (Spark/Databricks) on AWS (Lambda, SQS, etc.).
• Optimize system performance, focusing on low latency (TP99/95/90).
• Manage deployments and operations in Kubernetes (K8s).
• Experience with event driven microservices and distributed systems
• Champion TDD, automated testing, code quality, and observability best practices.
• Drive adoption of AI developer tools (e.g., GitHub Copilot, Cursor.AI, Claude ).
• Collaborate effectively across teams, understanding frontend needs (Vue.js).

What You Need:

• BS/MS in computer science or a related field.
• 10-13 years of backend development experience.
• 2-3+ years leading engineering teams.
• Hands-on Proficiency: Spring Boot (Java), AWS (Lambda, Step Functions, SQS, etc.), Spark/Databricks, Kubernetes, TDD, and Latency Optimization.
• Experience with AI coding tools - GitHub Copilot, Cursor.AI, Claude Code
• Understanding of UI frameworks (e.g., Vue.js) for architectural context.
• Experience with microservices/data pipelines development in Python  is additional advantage

Bonus Points:

• End-to-end observability implementation experience.
• Full-stack development exposure.
• Excellent communication and stakeholder skills.
• Background in developer productivity tooling or Agile leadership.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.