Technical Architect - Full Stack
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Job description
About US:-
Role Overview
We are looking for an experienced Technical Architect with strong full-stack engineering expertise, architectural thinking, and a forward-looking approach to AI-enabled software development. The ideal candidate will lead technical design and implementation across frontend and backend systems while driving engineering excellence, collaboration, and the adoption of AI-driven development practices, including Agentic SDLC (Software Development Life Cycle).
The role involves working with a team of 10+ members, including three team leads, to establish technical direction, enable collaboration across engineering streams, and accelerate software delivery through modern architectures and AI-powered engineering workflows.
Key Responsibilities
Solution Architecture: Architect and design scalable, secure, high-performance, end-to-end solutions using modern full-stack technologies.
Technical Leadership: Lead technical decisions across frontend and backend development, providing architectural guidance and direction to engineers and team leads.
Team Collaboration: Work effectively within a team of 10+ members, including three team leads, fostering collaboration, knowledge sharing, and alignment across development streams.
AI-Forward Engineering: Champion AI-enabled software development practices, exploring and implementing Agentic SDLC approaches to accelerate development, improve engineering productivity, automate repetitive tasks, and enhance software quality.
Engineering Standards: Define and enforce technical standards, coding guidelines, design patterns, architectural principles, and engineering best practices.
Mentoring and Development: Mentor engineers and team leads, conduct architecture reviews and code reviews, and promote continuous technical learning.
Full-Stack Development: Guide the development of responsive, maintainable frontend applications and robust backend services.
API and System Integration: Drive REST API design, system integrations, microservices architecture, and distributed system design.
Performance and Security: Ensure application scalability, performance optimization, security, reliability, and responsiveness.
Technology Evaluation: Assess and recommend emerging technologies, frameworks, developer tools, and AI-powered engineering solutions.
Cross-Functional Collaboration: Partner with product managers, designers, QA, and other stakeholders to translate business requirements into effective technical solutions.
Required Skills & Experience
Experience: 10+ years of experience in software engineering, full-stack development, and technical solution design, with demonstrated architectural leadership.
React.js: Strong expertise in React.js for frontend application development.
Node.js and Next.js: Solid experience with Node.js and Next.js for server-side development and full-stack applications.
Express.js: Hands-on experience with Express.js for building RESTful APIs and backend services.
Python: Proficiency in Python for backend services, scripting, automation, and microservices.
Frontend Technologies: Strong knowledge of HTML5, CSS3, JavaScript ES6+, and modern frontend development practices.
APIs and Distributed Systems: Experience designing REST APIs, microservices, system integrations, and distributed applications.
Databases: Familiarity with SQL and NoSQL databases, including PostgreSQL and MongoDB.
System Design: Strong understanding of system design, scalability, performance optimization, application security, and architectural patterns.
Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or GCP is an advantage.
People Leadership: Demonstrated ability to provide technical direction, mentor engineers, and collaborate with multiple team leads in a large development team.
Preferred Skills & Experience
Agentic SDLC: Practical experience implementing AI-assisted software engineering and Agentic SDLC workflows.
AI Agents and LLMs: Understanding of AI agents, LLM-powered development tools, and automation across software development activities.
AI Across Engineering: Experience applying AI to requirements analysis, code generation, testing, code reviews, documentation, and developer productivity.
AI Tooling: Familiarity with AI development tools and agentic frameworks, with the ability to evaluate their practical value in enterprise engineering environments.
Continuous Improvement: A continuous-improvement mindset focused on engineering efficiency, quality, delivery predictability, and responsible AI adoption.
Leadership Expectations
Shared Architectural Vision: Act as a collaborative technical leader who aligns engineers and team leads around a shared architectural vision.
Hands-On Leadership: Balance hands-on technical problem-solving with architecture, mentoring, and technical decision-making.
Ownership and Accountability: Encourage ownership, accountability, transparency, and effective collaboration across the team.
Measurable AI Adoption: Drive experimentation and adoption of AI-enabled engineering practices based on measurable business and delivery outcomes.
Business Alignment: Translate business objectives into scalable technical solutions while balancing quality, maintainability, delivery timelines, and cost.
Originally posted on Himalayas
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