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. This role focuses on designing, automating, and operationalizing secure cloud infrastructure while collaborating with Data Engineering teams to enhance platform capabilities and ensure operational excellence.
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
- 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
- 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
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