Principal Architect / Scalability Lead (AWS)

Job Title: Principal Architect / Scalability Lead (AWS)

Location: Gurgaon (Hybrid)

Experience: 815 Years

Employment Type: Full-Time

Role Overview

We are seeking a Principal Architect / Scalability Lead with deep expertise in AWS and large-scale distributed systems to architect and scale cloud-native products from MVP to enterprise scale.

This role demands a senior technical leader who has proven experience designing systems that handle high throughput, large concurrent workloads, and enterprise-grade reliability, while ensuring exceptional end-user experience.

You will work closely with Product, Data Engineering, AI/ML, and Backend teams to define architecture standards, scalability roadmaps, and engineering best practices.

Key Responsibilities

Architecture & Scalability Leadership

• Architect highly scalable, resilient, and high-performance cloud-native systems on AWS.
• Design distributed systems capable of supporting 100K+ concurrent users.
• Lead architecture evolution from MVP to enterprise-grade deployment.
• Translate business and consumer requirements into robust technical architecture.
• Drive scalability planning, capacity modeling, and performance engineering.

End-to-End Ownership

• Own full SDLC visibility from discovery and design to release, monitoring, and optimization.
• Establish best practices for:
• Microservices architecture
• Distributed systems design
• Observability & monitoring
• DevSecOps & CI/CD
• Ensure system uptime, fault tolerance, and cost efficiency.

AWS Cloud & Infrastructure

• Design and implement scalable systems using AWS services.
• Lead containerization and orchestration using Docker and Kubernetes (EKS).
• Architect secure, automated CI/CD pipelines.
• Drive cloud cost optimization and infrastructure efficiency.

Performance & Reliability Engineering

• Define and enforce SLAs, SLOs, and reliability metrics.
• Lead performance testing, load testing, and scalability validation.
• Implement monitoring, alerting, and observability frameworks.
• Design fault-tolerant and highly available systems.

Backend, Data & AI Collaboration

• Provide architectural guidance for:
• Backend services using Node.js and Python
• Frontend platforms using React / Next.js
• Data platforms using Snowflake
• Collaborate with Data Engineering and AI/ML teams on data-intensive and AI-driven systems.
• Design architectures supporting asynchronous processing, caching, and event-driven workflows.

Leadership & Governance

• Mentor senior engineers and guide architecture best practices.
• Lead architecture governance and design reviews.
• Influence senior stakeholders with data-driven technical decisions.
• Drive cross-functional alignment across Product, Engineering, Data, and AI teams.

Required Qualifications

• 815 years of experience in software engineering.
• Proven experience scaling distributed systems handling 100K+ users or high-throughput workloads.
• Deep hands-on expertise in AWS cloud architecture.
• Strong experience with Docker, Kubernetes, and container orchestration.
• Expertise in microservices, caching strategies, asynchronous processing, and distributed systems.
• Strong understanding of performance engineering and reliability frameworks.
• Experience building enterprise-grade systems for large-scale organizations.

Preferred Skills

• Experience with event-driven architectures (Kafka, SQS, SNS, etc.).
• Knowledge of database scalability and data warehousing (Snowflake).
• Exposure to Data Engineering and AI/ML platforms.
• Strong stakeholder communication and strategic thinking skills.