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Amazon Web Services (AWS)Job Description: Principal Engineer (Full Stack Architect)
Job Title: Full Stack Architect
Location: Hyderabad, India
Experience: 15Years to 20 years (4+ years in Enterprise Architecture)
Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.
Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning
Job Summary
As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.
This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.
Roles and Responsibilities
Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.
Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.
Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.
Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.
Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.
Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.
Mentorship: Mentor junior engineers and foster a collaborative team environment.
Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.
Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.
Mandatory Requirements
Experience: 12+ years of full-stack development experience, with significant expertise
in building and architecting applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Proven track record of architecting and implementing large-scale
distributed systems with a focus on reliability, scalability, and performance.
Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),
with a deep understanding of cloud services such as compute, storage, networking, and
security.
Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like
Neo4j. Experience with vector databases for high-dimensional data processing.
Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs
for solving complex data relationships.
Data Structures & Algorithms: Strong knowledge of DSA with practical experience in
solving complex technical challenges.
Microservices Architecture: Experience in designing and developing microservices-based
architectures and ensuring high availability.
DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).
Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.
Nice-to-Have Requirements
Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).
Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.
Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).
AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.
Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.
System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.
Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).
Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.
Subodh Popalwar
Software Engineer, Memorres
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Software Engineer, Memorres