AWS Platform Engineer

Temporary

2T Consulting

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.

Apply

Vacancy posted a month ago

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