Cloud Engineer

AWS Cloud Engineer II Location: Remote; EST time zone Employment requirement: W2 only Key Responsibilities • Hands-on role using AWS (Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3). • Responsible for the implementation of AWS cloud services including infrastructure, machine learning, and artificial intelligence platform services. • Experience with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks. • Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing. • Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems. • Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform). • Support the development and evolution of reusable platform components for AI/ML operations. • Create and maintain technical documentation for the team to reference and share with our internal customers. • Excellent verbal and written communication skills Required Qualifications: • 7 years of hands-on software engineering experience with a strong focus on Python. • Experienced with AWS services, especially Bedrock or SageMaker • Familiar with fine-tuning large language models or building datasets and/or deploying ML models to production. • Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config). • Solid experience implementing RAG architectures and LangChain. • Demonstrated experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud. • Strong background in Git-based version control, code reviews, and DevOps workflows. • Demonstrated success delivering production-ready software with release pipeline integration. • Strong problem-solving and analytical skills. • Excellent communication and teamwork abilities. Preferred Qualifications • AWS or relevant cloud certifications. • Policy as Code development (e.g., Terraform Sentinel). • Experience with Hugging Face, Golang, or Node.js. • Exposure to FinOps and cloud cost optimization. • Data science background or experience working with structured/unstructured data. • Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment). • Familiarity with Agile methodologies and DevOps practices. • Advanced certifications or specialized training.