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# Cloud Platform Engineer

- **Company:** Intellectt, Inc
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Software Applications, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Data Integration, Distributed Systems, Github, Node.Js, TypeScript, Datadog, AWS Cdk, Data Ingestion, Gitlab-ci, Kubernetes, Apache Kafka, Cloudwatch, Software Coding, Terraform, Splunk, Data Pipelines, Jenkins
- **Published:** August 22, 2026
- **Apply:** https://www.dice.com/job-detail/4f175bb8-fbf6-4635-a9c8-8137abc2857f

## About the Role

* Design and maintain AWS cloud infrastructure using Terraform, CDKTF, or AWS CDK, with a focus on reliability, scalability, cost efficiency, and multi-environment deployments.
 * Develop production-quality platform tooling and services using C#, Node.js, and/or TypeScript in a hands-on coding environment.
 * Architect and operate Kubernetes, ECS, and EKS environments supporting microservice and distributed-system workloads.
 * Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Azure DevOps, including automated testing and deployment gates., * 6 8 years of experience in Cloud Infrastructure Platform Engineering.
 * Bachelor of Engineering or Bachelor of Technology required.

Additional Skills

 * Experience implementing observability and monitoring using DataDog, Splunk, CloudWatch, or similar tools to support rapid detection and resolution of distributed-system issues.
 * Experience designing and integrating data ingestion and messaging infrastructure using Kafka, Kinesis, and pub/sub patterns for high-volume IoT and telemetry workloads.
 * Master of Computer Applications preferred.

## Description

Develop and maintain cloud software products and platform engineering solutions for core platform engineering teams. Design reliable, scalable, and cost-efficient AWS infrastructure while developing production-quality platform tooling and services. Support containerized distributed systems, CI/CD automation, observability, and high-volume data ingestion workloads for autonomous vehicle data pipelines.


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