Engineering Manager | Associate Engineering Manager |AI in Healthcare|

Tap Health


Engineering Manager / Associate Engineering Manager [AI in Healthcare]
Tap Health • Gurugram, Haryana

Job description
Role: Engineering Manager / Associate Engineering Manager

Type: Full-time, Work from Office

Location: Gurgaon

About Tap Health

Tap Health is a deep-tech AI platform dedicated to transforming healthcare through early illness detection and hyper-personalized chronic condition management. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions.

We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention.

Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each user’s care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs.

Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience

About the Role: Engineering Manager / Associate Engineering Manager

You will be leading and managing a team of backend and frontend engineers, playing a critical role in developing and scaling our platform. While leadership is a key aspect of the role, we expect you to remain hands-on with coding. We are looking for a strong Backend Engineering Leader with a solid understanding of frontend practices, particularly in React Native and React.js frameworks.

Responsibilities:

Cloud Infrastructure:
• Optimize cloud costs and ensure secure multi-cloud deployments.
• Manage Kubernetes deployments and various compute systems (VMs, CPUs, GPUs).

Team Leadership:
• Mentor and guide backend and frontend developers, fostering growth and performance.
• Conduct daily code reviews and allocate tasks to enhance quality and efficiency.

Technical Oversight:
• Architect and deploy AI solutions as microservices.
• Manage TB-scale databases, warehouses, vector stores, and search solutions.
• Optimize caching, READ/WRITE, and ETL systems for seamless scalability.

App Development:
• Lead app releases and updates for ReactNative and ReactJS-based products.
• Ensure compliance with data protocols such as GDPR, CDP, and DPDP.

Collaboration:
• Work closely with QA, Design, AI, and Product Management teams.
• Proactively conduct QA reviews to improve app performance and reliability.

AI Integration:
• Deploy and monitor preliminary AI/GenAI solutions.

Qualifications
• Bachelor's degree in Engineering (preferably Computer Science).
• 5–7 years as a Backend Engineer / Lead with strong team management skills.
• Proficiency in Kubernetes management, data pipelines, schema design, and multi-cloud infrastructure optimization.
• In-depth understanding of app development standards, including Redux, AJAX, JQuery, and Hot Reload.
• Expertise in the MERN stack, including React Native and React.js, with a proven track record of deploying and scaling applications.
• Familiarity with AI/GenAI deployment principles and monitoring.
• Knowledge of data protocols such as GDPR, CDP, and DPDP.
• Strong collaboration skills for working with cross-functional teams.
• Strong people management skills