Engineering Manager

4 days ago

New Delhi, India Quant-data.io Full time

Engineering Manager – Product Development (India)Location: Bangalore, India (Hybrid)Experience: Minimum 5 yearsCompany: Quant-DataAbout Quant-DataQuant-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 OverviewWe 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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