Cloud Platform Engineer – Data Platforms (Remote -- United States)

The Role

This remote Cloud Platform engineering role enables AWS Data Lake initiatives by designing, automating, and operationalizing secure, reusable cloud infrastructure. The position partners with Data Engineering teams to deliver Terraform-based platform capabilities, GitHub-driven automation, and AI-assisted engineering practices that accelerate delivery while maintaining enterprise security, governance, operational excellence, and outstanding developer experience.

This role serves as the Cloud Platform engineering representative for Data Engineering initiatives, helping teams deliver secure, scalable, and operationally supportable AWS solutions through reusable platform capabilities and engineering best practices 

The AI-Enabled AWS Data Lake Platform Developer enables Data Lake solutions to run securely, reliably, and efficiently in AWS. The role translates Data Engineering requirements into reusable AWS infrastructure patterns, Terraform modules, GitHub-based automation, policy guardrails, and operational practices that align with Cloud Platform standards while improving consistency, scalability, and developer productivity. 

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. 

Work Schedule:

• This position is remote
• Domestic travel may be required.
• Must be willing and able to work after hours and provide on-call support as needed. 

Education:

• Required:
  • Practical experience in cloud infrastructure engineering, platform engineering, data platform enablement, application development, or related technical delivery roles. 
• Preferred: 
  • 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. 

Experience:

• 5+ years of relevant cloud infrastructure, platform engineering, DevOps, data platform, or related technical delivery experience. 

General Skills: 

• 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. 

Specialized Skills:

• Required:
  • 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. 

• 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 

Percentage of required travel: up to 100%

Physical requirements:

• This job operates in an office environment. This role routinely uses standard office equipment such as computers, phones, cameras, photocopiers, and filing cabinets.
• 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).

MHP Americas, Inc. is an equal opportunity employer and we take pride in our diversity. In order to provide employment equal and advancement opportunities to all individuals, employment decisions at Porsche will be based on merit, qualifications and abilities. Porsche does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, pregnancy, status as a parent, national origin, age, disability, family medical history, ancestry, medical condition, genetic information, sexual orientation, gender, gender identity, gender expression, marital status, familial status, registered domestic partner status, family and medical leave status, military status, criminal conviction history, or any other characteristic protected by federal, state or local law. 

If you are an applicant from the state of California, please review the California Applicant Privacy Notice  here .

As a digitalization pioneer in the mobility and manufacturing industries, MHP transfers its expertise to a wide range of industries and is a premium partner for thought leaders on their way to a Better Tomorrow. MHP serves over 300 customers worldwide. Among them are leading corporations, innovative medium-sized companies, and disruptive start-ups. MHP provides both operational and strategic consulting and delivers proven IT and technology expertise as well as specific industry know-how.

As OneTeam, MHP operates internationally, with headquarters in Germany and subsidiaries in the US, UK, Romania, and China. For over 26 years, MHP has been shaping the future together with its customers. More than 4,000 MHP employees are united by the aspiration for excellence and sustainable success. This aspiration continues to drive MHP - today and in the future.

The salary range for this role is $145,000 - $156,000. However, it is important to note that at MHP, the compensation range is dependent on geographic location. Individual salaries within each range are determined through a wide variety of factors, including but not limited to education, experience, knowledge, and skillset. MHP reviews compensation regularly and may adjust base salaries to reflect market competitiveness.

In addition to salary, individuals may be eligible for a discretionary performance bonus. Our full suite of benefits includes:

• Paid Vacation
• Paid Holidays
• Paid sick leave
• 401(k) match
• Medical, dental and vision coverage
• Tuition and certification reimbursement
• Life Insurance
• Short and Long Term Disability Coverage
• Subsidized gym membership program
• Subsidized Porsche and VW leasing programs

With MHP you have a hand in shaping tomorrow, today. Apply now on our JobLocator. Please include all documents such as cover letter, resume, references and project lists (if applicable). 

By the way, our recruiting team will review your application both in the context of the specified job, and also cross-departmentally. This way we can evaluate whether there is a suitable position for you anywhere at MHP. 

You can reach our recruiting team at Recruiting-Americas@mhp.com