[Remote] Cloud Platform Engineer – Data Platforms (Remote -- USA)

Note: The job is a remote job and is open to candidates in USA. MHP – A Porsche Company is seeking a Cloud Platform Engineer to support AWS Data Lake initiatives through secure, reusable, and automated cloud infrastructure. The role partners with Data Engineering teams to develop Terraform-based platform capabilities, GitHub automation, AI-assisted workflows, security guardrails, documentation, and operational practices that improve scalability and developer experience.

Responsibilities

• Participate in Data Engineering team projects as the Cloud Platform engineering representative for AWS infrastructure enablement
• Design, code, review, test, and maintain Terraform for AWS Data Lake infrastructure using GitHub repositories and pull requests
• Build reusable patterns for S3 storage zones, IAM roles and policies, KMS encryption, networking, observability, and environment deployment
• Use GitHub Actions, GitHub Packages, and GitHub Copilot-assisted workflows to support delivery, testing, documentation, and troubleshooting
• Review and validate AI-assisted outputs before use in production or shared platform repositories
• Embed security, compliance, tagging, naming, logging, monitoring, and operational standards into reusable infrastructure patterns
• Create documentation, handoff notes, runbooks, and support guidance for deployed Data Lake capabilities
• Continuously improve reusable Terraform modules, platform capabilities, and engineering standards based on operational feedback and evolving AWS services
• Enable Data Engineering teams through reusable infrastructure patterns, documentation, onboarding guidance, and self-service platform capabilities
• Partner with Data Engineering teams to optimize AWS infrastructure for cost, performance, scalability, resilience, and operational efficiency
• Contribute to the evolution of Cloud Platform standards, reusable modules, golden paths, and internal developer experience

Skills

• Practical experience in cloud infrastructure engineering, platform engineering, data platform enablement, application development, or related technical delivery roles
• 5+ years of relevant cloud infrastructure, platform engineering, DevOps, data platform, or related technical delivery experience
• Analytical and systems thinking to translate Data Lake project needs into secure, reusable AWS infrastructure patterns
• Strong written and verbal communication skills for working across Cloud Platform, Data engineering, security, architecture, and operations teams
• Problem-solving skills for troubleshooting Terraform, AWS infrastructure, deployment pipelines, permissions, networking, and operational issues
• Collaboration skills to join Data Engineering team projects while representing Cloud Platform standards and operating practices
• Adaptability to work with changing AWS services, Data Lake requirements, infrastructure standards, and AI-assisted development practices
• Initiative and ownership to drive infrastructure tasks from requirements through implementation, review, deployment, and operational handoff
• Continuous learning mindset for Terraform, AWS Data Lake services, platform engineering, DevSecOps, GitHub cloud services, and GitHub Copilot-assisted development methods
• Attention to detail and disciplined review habits to validate GitHub Copilot and other AI-generated code, documentation, and operational recommendations before use
• Ability to balance developer experience, operational excellence, security, and governance when designing reusable platform capabilities
• Hands-on Terraform development, including reusable modules, remote state, versioning, automated testing, policy validation, code review, and environment promotion
• AWS infrastructure services for Data Lake platforms, including IAM, VPC, S3, KMS, CloudWatch, CloudTrail, AWS Config, networking, and guardrails
• Experience using GitHub Enterprise, GitHub Actions, GitHub Packages, protected branch workflows, automated validation, and Infrastructure-as-Code delivery pipelines
• Experience using GitHub Copilot and AI-assisted workflows for Terraform development, testing, documentation, troubleshooting, review preparation, and responsible AI-assisted engineering
• Understanding of DevSecOps practices, including least-privilege IAM, secrets management, policy guardrails, secure pipelines, and operational controls
• Experience implementing Policy as Code and infrastructure validation using tools such as OPA, Sentinel, Checkov, or equivalent frameworks
• Domestic travel may be required
• Must be willing and able to work after hours and provide on-call support as needed
• Must be able to lift 15 pounds at times
• While performing the duties of this job the employee is required to talk, hear, walk, sit, stand, climb stairs on occasion with prolonged periods of sitting at a desk and working on a computer
• Must be able to work effectively and complete tasks in an open office/noisy environment
• Must be able to sit for extended periods of time while traveling in a car or airplane
• Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with MHP Americas, Inc. (ie, H1-B visa, F-1 visa (OPT), or any other non-immigrant status)
• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or equivalent technical experience
• AWS, Terraform, cloud architecture, DevOps, security, data, or generative AI certification preferred
• AWS Data Lake services such as S3 data zones, AWS Glue, Lake Formation, Athena, data cataloging, and secure access models
• Experience with platform engineering concepts such as reusable templates, self-service workflows, golden paths, shared modules, and internal developer enablement
• Experience applying observability, logging, metrics, tracing, anomaly detection, or AIOps practices to improve operational support
• Experience with FinOps practices such as tagging standards, budget controls, usage reporting, rightsizing, and cost-aware architecture
• AWS, Terraform, GitHub, cloud architecture, DevOps, security, data, or generative AI certification is preferred

Benefits

• This position is remote

Company Overview