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CommerceIQ

SaaS platform for Amazon e-commerce optimization

Software Development Engineer 3

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in software engineering.
  • At least 3 years of experience leading small to medium-sized teams.
  • Expertise in scalable distributed systems.
  • Hands-on experience with observability, developer experience, and performance optimization.
  • Knowledge of AWS, Spark, databases, streaming, containers, and Kubernetes is an added advantage.
  • Experience with data-intensive applications using ETL/ELT is a plus.

Responsibilities

  • Build a reliable, scalable crawl platform that provides unified data across CommerceIQ product lines.
  • Work on platform and infrastructure problems, including distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
  • Define and drive technical strategy while collaborating with managers to prioritize and shape the team's roadmap.
  • Lead high-impact projects, address ambiguous problem statements, and deliver scalable solutions.
  • Own system design and architecture, ensuring reliability, observability, and best practices.
  • Mentor and lead engineers, fostering growth, technical excellence, and high-quality execution.
  • Coordinate across stakeholders to align on technical decisions and bridge cross-functional gaps.
  • Review designs, documents, and pull requests to maintain code and system quality.
  • Develop a deep understanding of the platforms and take comprehensive ownership.
  • Contribute hands-on through coding and technical deep dives.

Desired Qualifications

  • Knowledge of AWS, Spark, databases, streaming, containers, and Kubernetes.
  • Experience with data-intensive applications using ETL/ELT.

About the Company

CommerceIQ

SaaS platform for Amazon e-commerce optimization

CommerceIQ provides a SaaS platform for Amazon sales, advertising, and operations that connects data from multiple sources into a single source of truth. It ingests data and uses automated workflows and predictive analytics to optimize inventory, digital shelves, and ad performance. Its focus on Amazon, strong data integration, and automation enable faster, more reliable execution than broader e-commerce tools, often complemented by managed services. The goal is to help brands and retailers grow market share and profitability in e-commerce by improving visibility, advertising efficiency, and inventory health.

Company size
51-200
Company stage
Series D
Total funding
$195.5M
Headquarters
Mountain View, CA
Founded
2012

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