Senior Developer/Manager (Full-Stack + ML Ops)

Location: Remote
Employment Type: Full-Time
Experience Level: Senior
Salary Range: Competitive (Based on experience)


About the Role

We are seeking an experienced Senior Developer/Manager with expertise in Full-Stack Development, ML Ops, and AWS/Amazon Connect Support. The ideal candidate will lead development projects, optimize cloud-based call center solutions, and implement Machine Learning (ML) Operations to enhance AI-driven customer interactions. This role involves a mix of hands-on development, architecture planning, team leadership, and AWS cloud infrastructure management.


Key Responsibilities

  • Full-Stack Development & Architecture:
    • Design, build, and maintain scalable backend and frontend applications.
    • Work with frameworks such as React.js, Vue.js, Node.js, Python, PHP, and Django.
    • Develop and manage RESTful APIs, GraphQL, and microservices architectures.
  • ML Ops & AI/ML Integration:
    • Implement MLOps pipelines for model training, deployment, and monitoring.
    • Work with NLP and AI-driven voice agents for enhanced call automation.
    • Analyze call transcripts, customer interactions, and system logs for machine learning insights.
  • Amazon Connect & AWS Cloud Infrastructure Management:
    • Configure, deploy, and maintain Amazon Connect for VoIP and AI-powered call handling.
    • Optimize AWS services such as Lambda, DynamoDB, S3, EC2, Beanstalk, and API Gateway.
    • Ensure seamless integration of AI-driven voice agents with Amazon Connect.
  • DevOps & CI/CD Automation:
    • Automate infrastructure as code (IaC) using Terraform, AWS CloudFormation.
    • Implement CI/CD pipelines with GitHub Actions, Jenkins, or AWS CodeDeploy.
    • Monitor application performance and optimize resource utilization.
  • Security, Compliance & Performance Optimization:
    • Implement cloud security best practices for AWS-based environments.
    • Optimize database performance and API efficiency.
    • Ensure compliance with data privacy regulations in AI-driven call handling.


Preferred Technologies & Tools

  • Cloud & DevOps: AWS (Amazon Connect, Lambda, EC2, DynamoDB, S3, CloudWatch), Terraform, Docker, Kubernetes.
  • Backend Development: Python, Node.js, PHP, Django, Express.js.
  • Frontend Development: React.js, Vue.js, TypeScript.
  • ML & AI: TensorFlow, PyTorch, AWS SageMaker, NLP APIs.
  • Database Management: PostgreSQL, MySQL, NoSQL (MongoDB, DynamoDB).
  • Version Control & CI/CD: Git, GitHub Actions, Jenkins, AWS CodePipeline.

 

About You

  • Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of experience in full-stack development and cloud-based AI/ML implementations.
  • 3+ years of experience working with AWS and Amazon Connect for cloud-based call center solutions.
  • Strong expertise in ML Ops, AI-powered automation, and DevOps best practices.
  • Ability to lead development teams, manage multiple projects, and optimize workflows.
  • Passion for AI-driven customer experience improvements.

About YouBachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field.5+ years of experience in full-stack development and cloud-based AI/ML implementations.3+ years of experience working with AWS and Amazon Connect for cloud-based call center solutions.Strong expertise in ML Ops, AI-powered automation, and DevOps best practices.Ability to lead development teams, manage multiple projects, and optimize workflows.Passion for AI-driven customer experience improvements.
تاريخ النشر: اليوم
الناشر: Wuzzuf .com
تاريخ النشر: اليوم
الناشر: Wuzzuf .com