Cloud Platform Engineer

Intellectt, Inc
United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+12 more
Datadog AWS Cdk Data Ingestion Gitlab-ci Kubernetes Apache Kafka Cloudwatch Software Coding Terraform Splunk Data Pipelines Jenkins

Job 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.

Requirements

  • 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.

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Good distractions

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