Principal Architect / Scalability Lead (AWS)
at MNC with 5000+ employees
Amazon Web Services (AWS)
NodeJS (Node.js)
React.jsJob Title: Principal Architect / Scalability Lead (AWS)
📍 Location: Gurgaon (Hybrid)
🕒 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
- 8–15 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 skil
Shubham Vishwakarma
Full Stack Developer - Averlon
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