Ace4 Ai

Role & responsibilities Develop and maintain backend services using Python, Django, and FastAPI . Build and optimize REST APIs for document uploads, text extraction, summarization, and AI model inference. Design and manage AWS infrastructure (EC2, Lambda, S3, RDS, DynamoDB, CloudFront, API Gateway). Implement CI/CD pipelines using GitHub Actions / AWS CodePipeline / Jenkins . Automate deployment and monitoring using Terraform or AWS CDK . Manage containerized workloads ( Docker , ECS/Fargate, or EKS). Work with databases such as PostgreSQL, Redis, and DynamoDB . Ensure system security, scalability, and performance monitoring via CloudWatch or equivalent tools. Collaborate with AI engineers and frontend developers to integrate ML models and UI workflows. Preferred candidate profile 37 years of experience in Python and Django development. Hands-on experience with AWS DevOps tools and infrastructure management. Strong understanding of REST APIs, authentication (JWT/Cognito) , and microservice architectures . Experience with Docker, CI/CD automation, and Terraform or CloudFormation . Knowledge of SQL/NoSQL databases and caching (PostgreSQL, Redis). Excellent debugging, testing, and performance-tuning skills. Nice-to-Have Experience integrating AI/ML pipelines or document-intelligence workflows. Familiarity with React or similar frontend frameworks . AWS certification (Solutions Architect / DevOps Engineer). Exposure to LegalTech, FinTech, or SaaS security compliance (SOC2, GDPR) .