"The media and entertainment sector is rapidly embracing cloud-native solutions, making Python and AWS expertise highly sought after. Companies are looking for developers who can build scalable, serverless architectures to handle massive video workloads. This senior role offers a chance to lead cutting\u2011edge projects on\u2011site in New\u202fYork while working with the latest AI and cloud technologies.\n\n# Job Summary\nWe are seeking a senior Python developer to design, build, and maintain highly scalable, high\u2011performance systems for media and entertainment workloads. The role focuses on serverless architectures using AWS services (Lambda, ECS, Step Functions), NoSQL databases, CI/CD pipelines, and AI\u2011enhanced tooling. You will collaborate with cross\u2011functional teams, ensure best\u2011practice code quality, and contribute to architectural decisions.\n\n# Top 3 Critical Skills Table\n| Skill | Why it's critical | Mastery Level |\n|-------|-------------------|---------------|\n| Python | Core language for building services and data pipelines | Senior |\n| AWS (Lambda, ECS, Step Functions) | Enables serverless, scalable infrastructure for media workloads | Senior |\n| Serverless & Event\u2011Driven Architecture | Reduces operational overhead and handles real\u2011time media processing | Senior |\n\n# Interview Preparation\n1. **Explain how you would design a serverless video transcoding pipeline using AWS Lambda, Step Functions, and DynamoDB.**\n *What the interviewer is looking for:* Understanding of serverless services, state machines, data persistence, and scalability.\n2. **Describe the trade\u2011offs between using DynamoDB versus PostgreSQL for storing metadata of media assets.**\n *What the interviewer is looking for:* Knowledge of NoSQL vs relational models, consistency, query patterns, and cost considerations.\n3. **How do you implement CI/CD for infrastructure\u2011as\u2011code using AWS CDK and Git?**\n *What the interviewer is looking for:* Experience with IaC pipelines, testing, version control, and automated deployments.\n4. **What patterns would you apply to ensure high availability and fault tolerance in a microservice that processes live video streams?**\n *What the interviewer is looking for:* Design patterns such as circuit breaker, retries, idempotency, and use of managed services.\n5. **Can you walk through how you would integrate an LLM\u2011powered feature (e.g., content tagging) using Bedrock or Azure AI within an existing Python service?**\n *What the interviewer is looking for:* Familiarity with AI services, API integration, data handling, and security.\n\n# Resume Optimization\n- Python\n- AWS\n- Lambda\n- ECS\n- Step Functions\n- DynamoDB\n- NoSQL\n- CI/CD\n- Kubernetes\n- Media Processing\n\n# Application Strategy\nWhen reaching out to the recruiter, send a concise email that greets them, briefly states your interest, and attaches your resume. Clearly highlight your top skills\u2014such as Python, AWS serverless design, and media pipeline experience\u2014and reference specific projects where you applied these technologies. Emphasize how your background aligns with the key responsibilities listed in the job description.\n\n# Career Roadmap\n| Current Role | Typical Experience | Core Focus | Next Position |\n|--------------|-------------------|------------|---------------|\n| Sr. Python Developer (AWS) | 5+ years Python & AWS | Serverless, media pipelines | Lead Cloud Engineer |\n| Lead Cloud Engineer | 7\u20119 years cloud architecture | End\u2011to\u2011end cloud strategy | Cloud Architecture Manager |\n| Cloud Architecture Manager | 10+ years multi\u2011cloud leadership | Organizational cloud roadmap | Director of Engineering |\n"