
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.

About Immersive Infotech Private Limited
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Responsibilities:
- Develop and maintain full-stack web apps.
- Build reusable React components and REST APIs.
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- Collaborate with cross-functional teams.
Requirements:
- 2–5 years of experience in MERN stack.
- Strong in JavaScript, React, Node, Express, MongoDB.
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Required Technical Skills:
Backend
- Strong proficiency in Node.js and TypeScript
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Frontend
- Expert-level React knowledge and modern React patterns (hooks, context, etc.)
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General
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About Us
We are building the next generation of AI-powered products and platforms that redefine how businesses digitize, automate, and scale. Our flagship solutions span eCommerce, financial services, and enterprise automation, with an emerging focus on commercializing cutting-edge AI services across Grok, OpenAI, and the Azure Cloud ecosystem.
Role Overview
We are seeking a highly skilled Full-Stack Developer with a strong foundation in e-commerce product development and deep expertise in backend engineering using Python. The ideal candidate is passionate about designing scalable systems, has hands-on experience with cloud-native architectures, and is eager to drive the commercialization of AI-driven services and platforms.
Key Responsibilities
- Design, build, and scale full-stack applications with a strong emphasis on backend services (Python, Django/FastAPI/Flask).
- Lead development of eCommerce features including product catalogs, payments, order management, and personalized customer experiences.
- Integrate and operationalize AI services across Grok, OpenAI APIs, and Azure AI services to deliver intelligent workflows and user experiences.
- Build and maintain secure, scalable APIs and data pipelines for real-time analytics and automation.
- Collaborate with product, design, and AI research teams to bring experimental features into production.
- Ensure systems are cloud-ready (Azure preferred) with CI/CD, containerization (Docker/Kubernetes), and strong monitoring practices.
- Contribute to frontend development (React, Angular, or Vue) to deliver seamless, responsive, and intuitive user experiences.
- Champion best practices in coding, testing, DevOps, and Responsible AI integration.
Required Skills & Experience
- 5+ years of professional full-stack development experience.
- Proven track record in eCommerce product development (payments, cart, checkout, multi-tenant stores).
- Strong backend expertise in Python (Django, FastAPI, Flask).
- Experience with cloud services (Azure preferred; AWS/GCP is a plus).
- Hands-on with AI/ML integration using APIs like OpenAI, Grok, Azure Cognitive Services.
- Solid understanding of databases (SQL & NoSQL), caching, and API design.
- Familiarity with frontend frameworks such as React, Angular, or Vue.
- Experience with DevOps practices: GitHub/GitLab, CI/CD, Docker, Kubernetes.
- Strong problem-solving skills, adaptability, and a product-first mindset.
Nice to Have
- Knowledge of vector databases, RAG pipelines, and LLM fine-tuning.
- Experience in scalable SaaS architectures and subscription platforms.
- Familiarity with C2PA, identity security, or compliance-driven development.
What We Offer
- Opportunity to shape the commercialization of AI-driven products in fast-growing markets.
- A high-impact role with autonomy and visibility.
- Competitive compensation, equity opportunities, and growth into leadership roles.
- Collaborative environment working with seasoned entrepreneurs, AI researchers, and cloud architects.
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Key Responsibilities
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Required Skills & Experience
- 8+ years in SRE/DevOps roles, managing enterprise SaaS applications in production.
- Minimum 1 year experience with AI/ML infrastructure or model-serving environments.
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- Solid Linux OS and networking fundamentals.
- Experience in monitoring and observability with ELK, CloudWatch, or similar tools.
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Nice-to-Have Skills
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Qualifications
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If you’re passionate about building secure, scalable, and intelligent platforms, we’d love to hear from you. Apply now to be part of our client’s journey in redefining enterprise finance operations.
Technical Lead
The ideal candidate should possess the following qualifications:
- Education: Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Experience: 9+ years in software development with a proven track record of delivering scalable applications.
- Leadership Skills: 4+ years of experience in a technical leadership role, demonstrating strong mentoring abilities.
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- Knowledge of version control systems (Git or similar).
- Development Methodologies: Experience with Agile development methodologies and experience with CI/CD pipelines.
- Problem-Solving Skills: Strong analytical and problem-solving abilities that enable the identification of complex technical issues.
- Collaboration: Excellent communication and collaboration skills, with the ability to work effectively within a team environment.
- Innovation: A passion for technology and innovation, with a keen interest in exploring new technologies to find the best solutions.
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