AWS Platform Engineer

Veriipro; Denver (CO); On-site; USD 120,000 - 160,000; Full time

Job summary

Veriipro is seeking an experienced AWS Data Platform & AI Infrastructure Engineer to design and manage robust AWS infrastructure for data lake and AI workloads. You will lead cross-account networking, IAM, and security, while building scalable CI/CD pipelines for AI deployments.

Ideal candidates have 5–8 years in AWS, data platforms, and DevOps, with hands-on experience in S3/Glue/Athena/EMR, Terraform, Docker, and ETL pipelines using Scala/Spark.

Qualifications

• 5–8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads.
• Strong hands-on with AWS S3, Glue, Athena, EMR.
• Proficient with Terraform and IaC.
• Deep knowledge of VPC, IAM, security groups, and related networking.
• Experience with Docker, GitLab CI/CD, and Artifactory.
• Experience supporting Scala/Spark ETL pipelines.
• Proficiency in Python, Linux, and shell scripting.
• Familiarity with CloudWatch, Prometheus, or Grafana.
• Experience with REST APIs and AWS SDK/boto3.
• Strong CI/CD and Git workflow practices.
• Experience with event-driven systems (Kafka, SNS/SQS, EventBridge).

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.

Skills

AWS S3/Glue/Athena/EMR

Terraform

VPC/IAM/Security

Docker

GitLab CI/CD

Artifactory

Scala/Spark ETL

Python

Linux

Shell scripting

Prometheus/Grafana

REST APIs/AWS SDK

CI/CD workflows

Kafka/SNS/SQS/EventBridge

Tools

Terraform

Docker

GitLab CI/CD

Artifactory

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.