Technical Architect Full Stack

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.

• : Strong expertise in for frontend application development.

• and : Solid experience with and for server-side development and full-stack applications.

• : Hands-on experience with 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.