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Solution Architect - Python & React.js

Targeticon Digital Services Pvt. Ltd.
8 - 15 Years
Multiple Locations

Posted on: 23/03/2026

Job Description

Description :


Job Title : Solution Architect Python & React (Product Engineering)


Location : Noida


Experience : 8 to 15 Years


Employment Type : Full-Time


Role Overview :


We are seeking a highly skilled Solution Architect with strong expertise in Python backend ecosystems and React-based frontend architectures, capable of driving end-to-end product solutioning. The role involves translating business requirements into scalable, secure, and high-performance technical solutions while leveraging modern development practices, AI capabilities, and collaborative tools.


Key Responsibilities :


1. Solution Architecture & Design :


- Define scalable, modular, and maintainable architecture for web-based products.


- Translate product requirements into technical design, system architecture, and data flow diagrams.


- Lead technology selection decisions aligned with business and product strategy.


- Ensure adherence to microservices, API-first, and cloud-native design principles.


2. Backend Development (Python) :


- Architect and guide development using Python frameworks (FastAPI, Django, Flask).


- Design robust RESTful APIs / GraphQL services.


- Ensure performance optimization, security, and scalability of backend systems.


3. Frontend Architecture (React) :


- Define architecture for React-based applications (state management, component design, performance optimization).


- Enforce best practices for UI scalability, reusability, and responsiveness.


4. AI & Intelligent Systems Integration :


- Design and integrate AI/ML components (LLMs, NLP pipelines, recommendation engines).


- Work with AI APIs, vector databases, and model orchestration frameworks.


- Evaluate opportunities for automation and intelligent product features.


5. DevOps & Development Workflow :


- Establish development workflows using GitHub (branching strategies, CI/CD pipelines).


- Ensure effective use of Jira for sprint planning, tracking, and delivery governance.


- Collaborate with DevOps teams for deployment architecture (Docker, Kubernetes, cloud platforms).


6. Product Solutioning :


- Work closely with product managers to convert business problems into technical solutions.


- Provide effort estimation, technical feasibility analysis, and roadmap inputs.


- Drive MVP to production lifecycle with a product mindset.


7. Technical Leadership :


- Mentor engineering teams and conduct design reviews and code quality audits.


- Define and enforce coding standards, architectural guidelines, and best practices.


- Act as the technical escalation point for complex system challenges.


Required Skills & Qualifications :


Technical Skills :


- Strong expertise in Python (FastAPI/Django/Flask).


- Advanced knowledge of React.js, Redux/Zustand, modern frontend tooling.


- Experience with API design, microservices, and distributed systems.


- Hands-on experience with GitHub (PR workflows, CI/CD).


- Proficiency in Jira / Agile methodologies (Scrum/Kanban).


- Familiarity with cloud platforms (AWS/Azure/GCP).


- Knowledge of databases (PostgreSQL, MongoDB, Redis).


AI & Modern Tech :


- Experience working with LLMs, AI APIs, or ML pipelines is highly preferred.


- Understanding of prompt engineering, embeddings, and AI integration patterns.


Architecture & Design :


Strong grasp of :

- System design principles

- Design patterns

- Scalability & performance tuning

- Security best practices


Preferred Qualifications :


- Experience in product-based companies or startup environments.


- Exposure to SaaS architecture and multi-tenant systems.


- Knowledge of event-driven systems (Kafka, RabbitMQ).


- Prior experience in engineering domain solutions.


Soft Skills :


- Strong problem-solving and analytical thinking.


- Excellent communication and stakeholder management.


- Ability to work in cross-functional teams.


- Ownership mindset with product-focused thinking.


Key Deliverables :


- End-to-end solution architecture documents.


- Scalable and production-ready technical systems.


- Improved development velocity and quality standards.


- Successful delivery of AI-enabled product features.


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