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Open nowPosted 21 hours ago

Technical Architect - Full Stack

Srijan Technologies PVT LTD20 open roles

Where
Gurugram, Haryana, India
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Your applicationOpen nowTechnical Architect - Full StackSrijan Technologies PVT LTD · Gurugram, Haryana, India

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Share of postings closed within
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  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 21 hours ago

The posting

Location: Gurugram,Haryana,India

About US:-

We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe

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.

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