Job Summary: We are seeking a DevOps engineer to verify, implement, and monitor data science models, automate AWS resources, and manage security and documentation. Key Highlights: 1. Role focused on implementation and monitoring of data models 2. Automation of AWS resources using Python, Bash, and Terraform 3. Maintenance of security and documentation for existing stacks We require a DevOps engineer. Work schedule: Monday to Friday, 9:00 to 18:30 hrs. 100% Remote Education Level: Bachelor’s degree or equivalent in Engineering or related field Time availability is important **Advanced Conversational English Required (exam administered)** **Responsibilities:** Verify new data science models in the local environment by providing information and validating expected results. Implement models in development and staging environments, executing test cases to ensure functionality. If all tests pass, deploy the model to production. Perform performance and cost analysis of models prior to production deployment. Monitor production models to ensure proper operation. Automate AWS resource deployment using Python, Bash, and Terraform scripts. Apply the latest security patches across all AWS EC2 instances to address security vulnerabilities. Create and maintain documentation for existing stacks, following standardized templates. Use common templates to implement new changes in projects. **Tools:** * AWS services such as EC2, Lambda, SQS, IAM, SageMaker, and Bedrock * Python concepts and programming fundamentals * Terraform for AWS deployments * Understanding of CI/CD * Ability to build production-grade Python applications **We Offer:** 100% payroll Statutory benefits Salary range: $70,000–$82,000 gross Position type: Full-time Salary: $70,000.00–$80,000.00 per month Benefits: * Option for indefinite-term contract Experience: * Python: 2 years (Mandatory) * DevOps: 4 years (Mandatory) * AWS: 3 years (Mandatory) * Cloud: 2 years (Preferred) Language: * Advanced Conversational English (Mandatory) Work Location: Remote position