Enfin Technologies - Solution Architect - Full Stack Development (7-9 yrs)

Role : Solution Architect

Position Overview :

We are seeking a seasoned Solution Architect to drive the technical vision and architectural design of enterprise-scale applications. This role emphasizes multi-cloud microservices architectures and cutting-edge technologies, including Generative AI. Youll play a pivotal role in creating scalable solutions that align with both business goals and emerging technology trends.

Key Responsibilities :

- Architect and Design : Build scalable, resilient microservices architectures across AWS, Azure, and GCP, ensuring enterprise-grade performance and reliability.

- Innovation : Integrate Generative AI technologies for use cases such as predictive analytics, process automation, and customer engagement.

- Blueprint Development : Create detailed architecture blueprints, technical specifications, and design documents.

- Team Leadership : Mentor and guide development teams on cloud-native application design using Python, Next.js, MERN stack, and best practices.

- Emerging Technologies : Stay ahead of trends, including serverless computing, edge computing, and low-code platforms, recommending solutions to enhance system capabilities.

- Business Alignment : Translate business objectives into robust technical solutions that deliver measurable outcomes, such as cost efficiency and user satisfaction.

- Governance : Lead architectural reviews and ensure adherence to security, scalability, and performance standards.

- Collaboration : Work closely with stakeholders, product managers, and DevOps teams to align technical solutions with business priorities.

Requirements :

- Experience : 10+ years in software development with 5+ years in architectural roles.

- Expertise in microservices architecture, distributed systems, and cloud-native development.

- Proficiency with Python, JavaScript/TypeScript, React, Node.js, MongoDB, and REST APIs.

- Hands-on experience with containerization (Docker) and orchestration tools like Kubernetes.

- Strong knowledge of CI/CD pipelines, DevSecOps, and infrastructure as code (e.g., Terraform).

- Practical experience in multi-cloud environments and integrating Generative AI solutions.

- Exceptional interpersonal and leadership skills to mentor teams and influence

stakeholders.