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.