Cross Platform Solution Arch

Technical Solution Architect

Experience: 12 15 Years

Role Summary

Lead end to end architecture design and delivery of complex scalable and secure enterprise applications. Act as the technical authority guide engineering teams and ensure alignment of solutions with business goals.

Key Responsibilities

• Lead architecture and design for large scale systems; translate business needs into technical specifications and architecture diagrams.
• Define technical components integrations data flows and deployment strategies.
• Evaluate and choose appropriate technologies frameworks and tools.
• Ensure solutions meet security performance scalability and compliance standards.
• Collaborate closely with business product PM and development teams to ensure solution alignment.
• Provide strong technical leadership mentorship and guidance to engineering teams.
• Drive technical discussions and present architecture to technical and non technical audiences.
• Identify communicate and mitigate technical risks proactively.
• Stay current with architectural trends cloud technologies and modern engineering practices.
• Provide hands on support for complex implementation challenges; participate in code reviews.
• Contribute to continuous improvement of development methodologies and best practices.

Mandatory Technical Skills (with Expected Experience)

• Programming (Java / React / / Python / C#) 10 years expert-level proficiency.
• OOP & Design Patterns 10 years deep architectural application.
• REST APIs & Microservices Design 8 years.
• JSON & Data Serialization 8 years.
• NoSQL Databases (MongoDB / Redis / Cassandra) 6 years.
• User Authentication & Authorization (OAuth / JWT) 6 years.
• Cloud Platforms (AWS / Azure / GCP) 5 years architecture level expertise.
• Server side scalable high availability systems 10 years.
• SDLC Agile Scrum 10 years.
• Documentation & Architecture Blueprinting 10 years.

Additional Preferred Skills

• Front end frameworks: Angular / React / Vue.
• AI / NLP / ML concepts; integrating ML/NLP engines.
• Docker Kubernetes CI/CD pipelines.
• Performance engineering of large systems.
• Reporting & Analytics; Systems Integration; SaaS product experience.
• Linux/Unix working knowledge; SOAP services.

Behavioral Skills

• Strong analytical thinking problem solving communication leadership and stakeholder management.