Specialist I - AWS DevOps Engineer

Job Title: Senior AWS / DevOps Engineer (ML & Data Automation) Key Responsibilities Required Technical Skills &#xd; 1. Amazon Web Services (AWS) &#xd; &#x2022; Networking: Advanced knowledge of VPC architecture, Private Subnets, VPC Endpoints (PrivateLink), and S3 Gateway Endpoints. &#xd; &#x2022; Compute & Orchestration: Deep expertise in AWS Lambda (Serverless) and AWS Step Functions for workflow state machine management. &#xd; &#x2022; Storage & Databases: Hands-on experience with Amazon S3 and Amazon RDS administration. &#xd; &#x2022; Security & Management: Proficient with AWS Secrets Manager, EventBridge (CloudWatch Events), and Amazon ECR. &#xd; &#x2022; Observability: Strong experience setting up dashboards and s in Amazon CloudWatch. &#xd; 2. Azure & Hybrid Integration 3. Data Engineering & AI/ML Development <

• Data Extraction: Strong familiarity with Python-based data extraction, specifically the Scrapy framework.<
• AI/ML Concepts: Foundational understanding of hosting, scaling, and managing infrastructure for Machine Learning (ML) models and LLM Modules.<
• Frontend UI: Experience deploying and supporting Streamlit applications.