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MP
Marathon Petroleum
Senior Platforms Engineer, Digital Workplace & AI
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What they do
A Platform Engineer is responsible for the development of platforms that support the needs and use cases of different engineering teams across the organization. Creates reusable tools and workflows to streamline operational needs and facilitate automation tasks, supporting scalability of DevOps practices.
$125,379 / year median in Ohio
Job Description
Senior Platforms Engineer, Digital Workplace & AI Date Posted:
12 August 2026Closing Date:
September 11, 2026Recruiter:
Marathon Petroleum Location:
Mc Guffey, Ohio Salary:
On Application Job Type & Industry:
AI Contract Type:
Permanent Work Hours:
Full Time Job Reference:
2922661605-2 Apply for this job now Job Description An exciting career awaits you At MPC, we're committed to being a great place to work- one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.
- Setting up, configuring, monitoring, and optimizing the components of cloud infrastructure. Computer Networking
- A system in which multiple computers are connected to each other to share information and resources. Cybersecurity Risk Management
- The process of developing cyber risk assessment and treatment techniques that can effectively pre-empt and identify significant security loopholes and weaknesses, demonstrating the business risks associated with these loopholes and providing risk treatment and prioritization strategies to effectively address the cyber-related risks, threats and vulnerabilities, ensuring appropriate levels of protection, confidentiality, integrity and privacy in alignment with the security framework.
- A set of practices that automates the integration of security at every phase of the software development lifecycle, from initial design through integration, testing, deployment, and software delivery, with an aim towards shortening the systems development life cycle and pas well as continuous delivery and a security first approach. General Programming
- Applies a computer language to communicate with computers using a set of instructions and to automate the execution of tasks. Infrastructure as Code (IaC)
- The process of managing and provisioning infrastructure through code instead of through manual processes. IT Infrastructure Management
- Planning, design, delivery and control of information technology infrastructure. Performance Monitoring
- The process of measuring the performance of a system in Real Time in order to determine problems and identify other factors that may cause problems in the future. Policy Management
- The process of creating, implementing and maintaining policies and procedures within an organization. Process Automation
- Also known as business automation or digital transformation, this is the technology-enabled automation of complex business processes.
- The manner in which an organization provides users access to IT services, which include applications, data storage and other business resources. Systems Administration
- Performs a variety of functions including user management, system monitoring, system configuration, performance tuning, backup and recovery, and access control. System Platform
- A system platform refers to the underlying foundation or framework that supports and manages the operation of software applications and hardware components within a computing environment. It provides a standardized and cohesive infrastructure, allowing for the development, deployment, and integration of various technologies and services. Systems Testing
- The process of testing conducted on a complete integrated system to evaluate the system's compliance with its specified requirements. Systems Integration
- The process of linking together various IT systems, services and/or software to enable all of them to work functionally together. Troubleshooting
- The act or process of discovering and resolving problems, disputes, or mechanical issues through a systematic, usually iterative, approach. AI Platform Reliability & Incident Management
- Operating AI agents and automation platforms in production, including incident response, root cause analysis, and post-incident remediation. Enterprise ALM & Release Management
- Managing solution promotion, version control, and coordinated releases for low-code and AI solutions across environments. Data Integration & Connector Strategy
- Integrating Power Platform and AI solutions with enterprise systems, APIs, and data sources while managing connector risk and performance. Identity, Access & Permissions Modeling
- Designing and enforcing role-based access, service accounts, managed identities, and secure permission models. Cost Awareness & Optimization (FinOps)
- Monitoring usage patterns and identifying optimization opportunities for AI, automation, and platform services. Platform Standardization & Pattern Development
- Defining reusable patterns, reference architectures, and templates for AI agents, workflows, and low-code applications. Change Management & Adoption Enablement
- Supporting rollout, operational readiness, and adoption of AI-enabled digital workplace capabilities. Vendor & Third-Party Platform Coordination
- Partnering with vendors to resolve issues, influence roadmaps, and evaluate emerging capabilities. Risk Assessment & Compliance Alignment
- Assessing AI and platform solutions against security, privacy, regulatory, and audit requirements. Technical Communication & Executive Readouts
- Translating platform and AI operational data into clear, decision-ready insights for leadership.