Engineering Manager

3 weeks ago

Bengaluru Karnataka India, Karnataka Quant-data.io Full time

Engineering Manager – Product Development (India)

Location: Bangalore, India (Hybrid)

Experience: Minimum 5 years

Company: Quant-Data


About Quant-Data

Quant-Data is an AI-native data and cloud consulting company helping enterprises modernize their data infrastructure and accelerate innovation. Our open-source-powered platform enables businesses to do more with less — faster pipelines, smarter governance, and real-time insights at scale.


Role Overview

We are looking for an experienced Engineering Manager who can lead the end-to-end product development lifecycle while staying hands-on with technology. The ideal candidate will combine strong leadership with deep technical expertise across modern data platforms, full stack development, and cloud-native architectures.


Key Responsibilities

  • Lead and mentor a team of engineers across data, full stack, and DevOps disciplines.
  • Drive product development from architecture to deployment for our data platform.
  • Collaborate closely with product, design, and leadership teams to align on roadmap and delivery.
  • Establish engineering best practices for code quality, scalability, and reliability.
  • Design and implement data pipelines using Apache Airflow, Trino, Superset, and DataHub.
  • Oversee full stack development components that integrate data and visualization layers.
  • Manage cloud-native deployments on AWS, Azure, and GCP, with hands-on experience in Kubernetes.
  • Implement and manage MLOps workflows using MLflow and JupyterHub.
  • Contribute to architecture decisions and ensure adherence to performance and cost-efficiency goals.


Required Skills & Experience

  • 5+ years of experience in software, full stack, or data engineering, with at least 2 years in a leadership role.
  • Strong hands-on experience with Python and modern data-engineering workflows.
  • Proficiency with open-source data stack: Apache Airflow, Trino, DataHub, Superset, JupyterHub, MLflow.
  • Solid understanding of cloud computing (AWS, Azure, GCP) and Kubernetes.
  • Proven experience in product development, from MVP to scalable deployment.
  • Excellent problem-solving, communication, and cross-functional collaboration skills.


What We Offer

  • Opportunity to shape and scale an AI-native data platform from the ground up.
  • Collaborative, growth-oriented culture focused on innovation and impact.
  • Competitive compensation, ESOP opportunities, and flexible work setup.


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