Technical Architect - Full Stack
关于美国：-我们将客户的挑战转化为增长机会。材料是全球最知名的品牌和创新公司的全球战略合作伙伴。我们在世界各地的人员通过帮助组织设计和提供有益的客户体验来繁荣。我们利用深入的人类见解，设计创新和数据创造由现代技术驱动的经验。我们的方法加速了我们与企业合作的参与和增长，并改变了企业与服务人员之间的关系。斯里扬，一个材料公司是一个知名的全球数字工程公司，以其深层次技术专业知识和与顶级科技合作伙伴建立战略合作关系来解决复杂技术问题而闻名。成为 Awesome Tribe Role Overview 的一部分 我们正在寻找一位有经验的技术建筑师，拥有强大的全套工程专业知识，架构思维以及前性的 AI 支持软件开发方法。理想的候选人将领导前端和后端系统中的技术设计和实施，同时推动工程卓越性，协作以及采用人工智能驱动开发实践，包括 Agentic SDLC （软件开发生命周期）.该角色涉及与10+名成员组成的团队合作，包括三个团队领导者，建立技术方向，实现在整个工程流中协作，并通过现代架构和人工智能启动的工程工作流加速软件交付。关键责任 ·解决方案架构：使用现代全堆技术来扩展，安全，高性能，端到端解决方案的建筑师和设计。·技术领导：在前端和后端开发中做出技术决策，为工程师和团队负责人提供建筑指导和方向。· 团队合作：在一个由10多名成员组成的团队内有效工作，包括三个团队负责人的团队，促进协作，知识共享和跨发展流之间的协调。· AI-Forward Engineering:冠军人工智能支持的软件开发实践，探索并实施 Agentic SDLC 方法来加速开发，提高工程生产力，自动化重复任务，提高软件质量。· 工程标准：制定和执行技术标准，编码指导方针，设计模式，建筑原则和工程最佳实践。· 辅导与发展：
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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.
Originally posted on Himalayas