Senior Cloud Solutions Developer

6 days ago

Karachi, Sindh, Pakistan beBeeSolution Full time

About the Job:

We are seeking a seasoned Solution Architect to lead the design of scalable, secure, and reliable solutions. The ideal candidate will have extensive experience in Fullstack/Multistack development, cloud solutions, and modern software architecture.

This role involves guiding decision-making for AI-powered solutions, ensuring scalability, security, and efficiency. The successful candidate will establish best practices and mentor on system architecture, microservices, and AI deployment strategies.

  1. AI-Driven Architectural Design & Strategy

The solution architect will be responsible for designing and implementing AI-driven architectural strategies that cater to business needs. This includes identifying areas for improvement, developing cost-effective solutions, and collaborating with cross-functional teams to ensure seamless integration.

Key Responsibilities:

  1. Develop & Maintain AI-Ready Backend Services

The successful candidate will develop and maintain backend services using Python (Django, FastAPI), focusing on AI applications. This includes designing data pipelines, APIs, and real-time processing frameworks.

  1. AI-Powered Frontend Development

Frontend developers will work closely with the solution architect to create high-performance frontend applications with JavaScript, React, and Next.js, integrating AI models for real-time interactions.

  1. Design Scalable Microservices & API Architectures

The solution architect will design and implement scalable microservices and API architectures that cater to AI-focused requirements. This includes ensuring seamless integration within distributed systems and maintaining high availability and fault tolerance.

  1. Cloud Infrastructure & AI Deployment

The solution architect will lead AI model deployment on AWS, oversee cloud-native development, serverless computing, and cost-effective workflows.

  1. Containerization & Scalable AI Workflows

The successful candidate will manage AI applications with Docker and Kubernetes, automating training and inference environments.

  1. Performance Optimization & Real-Time AI Solutions

The solution architect will enhance model serving, caching, WebSocket interactions, and optimize databases and recommendation engines.

  1. Continuous Integration & Deployment

The successful candidate will implement CI/CD pipelines for AI models, monitoring, and lifecycle management following MLOps best practices.

  1. Security, Scalability, & Compliance

The solution architect will design secure, robust, and compliant AI solutions ensuring high availability and fault tolerance.

  1. Innovate with VLLMs & AI Research

The solution architect will guide startups on leveraging VLLMs, fine-tuning LLMs, and exploring edge AI, federated learning, and multimodal AI.

Preferred Qualifications:

  • 10+ years in Solution Architecture or similar roles

  • Expertise in Python backend development (Django, FastAPI)

  • Proficiency in JavaScript, React, Next.js

  • Hands-on AWS experience

  • Strong knowledge of Docker, Kubernetes, DevOps

  • Experience with streaming data, WebSockets, caching

  • Expertise in CI/CD and automation tools

  • Understanding microservices, REST APIs, SOA

  • (Nice to have) Experience with AI applications and VLLMs

Benefits:

This is an exciting opportunity to join our innovative team and contribute to shaping the future of AI solutions. We offer a dynamic work environment, collaborative culture, and opportunities for professional growth.

Contact Information:

Please submit your application, including your resume and a cover letter, to explore this opportunity further.

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