Senior AWS Data Engineer

Job Title: Senior AWS Data Engineer Location: Newark, NJ / Remote Duration: 12 months Visa: USC or GC

Skills Required

• AWS, Machine Learning, Gen AI, Agentic AI, LLM, MLOps, SageMaker, AWS Certification

• Job Summary: We are seeking a Senior AWS Data Engineer to join our AI/ML platform team. You will work with application and infrastructure developers to enhance AI/ML infrastructure, ensuring high availability, scalability, and resiliency for mission-critical applications.

Responsibilities

• Optimize systems, build infrastructure, and automate workflows

• Influence cloud application and security architecture

• Peer-review infrastructure-as-code (CloudFormation, Terraform, Python)

• Partner with teams on reusable cloud patterns and deployments

• Develop monitoring, automation, and MLOps pipelines

• Build frameworks and services using AWS SageMaker, Bedrock, Lambda, and container tech

• Implement LLMs, Agentic frameworks, and AI solutions

• Define standards and governance for ML platform operations

• Translate non-functional requirements into technical solutions

• Technical Qualifications:

• 5+ years AWS & AI/ML experience

• Proficient in Python, Node.js, Bash/PowerShell

• Experience with container orchestration (ECS, EKS, Docker)

• Infrastructure automation (Terraform, CloudFormation, Ansible, Puppet)

• CI/CD tools (Jenkins, CodePipeline, Azure DevOps)

• AWS foundational services, security, and IAM expertise

• Familiarity with ETL/big data (Glue, Spark, EMR), relational DBs, and monitoring tools (Splunk, ELK, Grafana)

• Comfortable in Linux environment

• Preferred:

• AWS Associate or Professional certifications

• Experience with DevOps, DevSecOps, SRE, or Unix/Linux admin