AWS Platform Engineer

@ 2T Consulting
2T Consulting2tconsulting.com

AWS Platform Engineer

Highlands Ranch, Colorado
Posted 1 day ago

About the job

Our company specializes in cloud infrastructure, data platforms, and AI solutions. This role focuses on designing AWS infrastructure, managing data workflows, and supporting AI workloads with a focus on security, automation, and collaboration.

Requirements

  • AWS S3, Glue, Athena, EMR
  • Terraform and Cloud IaC
  • VPC, IAM, Security Groups
  • Docker, GitLab CI/CD
  • Scala/Spark ETL pipelines

Qualifications

  • 5-8 years experience
  • Knowledge of Python and Linux
  • Strong understanding of CI/CD practices
  • Support for AI runtime environments

Full job description

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5–8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads.

Must-Have Skills
  • Strong experience with AWS S3, Glue, Athena, and EMR.
  • Hands-on experience with Terraform and AWS Infrastructure as Code.
  • Strong knowledge of VPC, IAM, Security Groups, VPC Peering, PrivateLink, and Transit Gateway.
  • Experience with Docker, GitLab CI/CD, and Artifactory.
  • Experience supporting Scala/Spark ETL pipelines.
  • Proficiency in Python, Linux, and Shell scripting.
  • Experience with CloudWatch, Prometheus, or Grafana.
  • Experience with REST APIs and AWS SDK/boto3.
  • Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices.
  • Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge.
AI / Data Platform Experience
  • Experience supporting AI agent runtime environments.
  • Experience with LangGraph and LangSmith Deployments is preferred.
  • Experience with cloud-based data lake and distributed data processing environments.
Responsibilities
  • Design and manage AWS infrastructure for Data Lake and AI workloads.
  • Manage cross-account connectivity, networking, IAM, and security.
  • Build and maintain CI/CD pipelines for AI agent deployments.
  • Support and troubleshoot Scala/Spark ETL pipelines and onboard new data sources.
  • Implement monitoring, alerting, automation, and incident response.
  • Develop reusable infrastructure and automation using Terraform and Python.
  • Collaborate with engineering teams and external platform owners on connectivity, security, and access requirements.
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