Principal Engineer Architect

Key Responsibilities Engineering & Architecture

• Design and build scalable, production-grade applications across web, mobile and cloud.
• Define enterprise architecture, technology standards and engineering best practices.
• Build reusable platforms, frameworks and shared services that accelerate product development.
• Make architectural decisions balancing scalability, performance, security and business outcomes.
• Lead design reviews and contribute to critical production code.

Full Stack Engineering

• Design and develop backend services, APIs, integrations and distributed systems.
• Build responsive web and mobile applications using modern frameworks.
• Design scalable databases, workflows and enterprise integrations.
• Solve complex production issues and optimize application performance.

AI & Data Engineering

• Design and build AI-enabled products using LLMs, RAG, vector databases and agentic workflows.
• Build scalable data pipelines and data models supporting analytics and AI.
• Drive AI-assisted software development across the engineering team.
• Continuously evaluate emerging AI technologies and establish best practices.

Cloud, Security & Platform

• Design cloud-native solutions on AWS, Azure or GCP.
• Establish CI/CD, observability, Infrastructure as Code and DevSecOps practices.
• Define security architecture and ensure compliance with healthcare security standards.
• Optimize platform reliability, scalability and cloud costs.

Technical Leadership

• Mentor Lead Engineers and Senior Engineers.
• Drive engineering quality through architecture reviews and code reviews.
• Act as the highest technical escalation point for complex engineering challenges.
• Partner with Product, Design and Business teams to deliver scalable solutions.

Required Qualifications

• BE/BTech from Tier 1 Engineering Colleges only – CSE /IT (Mandatory)
• Masters is Computer science is a plus.
• Must have experience in a Product based company.
• Expert-level software engineering with strong backend, frontend and mobile development experience.
• Deep expertise in Node.js, Java or Python and modern frontend frameworks such as React/Next.js.
• Strong experience building React Native applications for Android and iOS.

Deep & Proven expertise in distributed systems, REST APIs, microservices and system design.

• Strong knowledge of SQL, NoSQL, data modelling, and data engineering.
• Hands-on experience with AWS, Azure or GCP, Docker, Kubernetes and CI/CD.
• Practical experience building AI-powered applications using LLMs, RAG, vector databases and agentic workflows.
• Strong understanding of secure software development, OWASP and modern DevSecOps practices.
• Excellent debugging, problem-solving and architectural decision-making skills.

Leadership Expectations

• Lead through technical excellence and hands-on execution.
• Build reusable engineering capabilities rather than one-off solutions.
• Establish engineering standards and promote AI-enabled development practices.
• Mentor engineers and cultivate a culture of ownership, quality and continuous learning.
• Stay current with modern engineering trends and drive adoption where they create measurable business value.

Preferred Experience

• Healthcare, SaaS, Enterprise Software, Logistics or FinTech.
• Zero-to-one product development and platform modernization.
• Experience building high-scale, cloud-native systems.
• Exposure to regulated environments and enterprise integrations.