Senior Platforms Engineer, Digital Workplace & AI

Marathon Petroleum Corporation•Findlay, OH

2d•Onsite

About The Position

The Senior Platforms Engineer is responsible for the strategic design, deployment, and optimization of complex infrastructure platforms and systems, ensuring high availability, scalability, and security. This qualified candidate will have proven experience as a technical lead or platform owner for digital workplace or AI initiatives. This role will maintain ownership throughout the entire lifecycle of AI agents and automation, handling intake, governance, versioning, monitoring, and retirement in production environments. An expected focus of this role is to deliver impactful AI value and usage reports, presenting productivity improvements, risk assessments, and cost optimization metrics to leadership and business stakeholders. This role leads advanced troubleshooting, performance tuning, and technical support activities, serving as the primary escalation point for complex issues and collaborating across teams to drive continuous improvement. The Senior Platforms Engineer also oversees resiliency, disaster recovery and backup strategies, develops comprehensive reporting frameworks, and ensures compliance with industry standards and best practices. The candidate will have designed and implemented secure, enterprise-grade low-code applications for regulated and sensitive data, ensuring compliance and robust protection measures. Additionally, this position fosters a culture of knowledge sharing by mentoring junior engineers, organizing training sessions, and promoting cross-functional collaboration to enhance documentation and information sharing. This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.

Requirements

Bachelor’s Degree in Information Technology, related field or equivalent experience required
Five (5) or more years of relevant experience required.
Cloud Infrastructure Management - 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.
DevSecOps - 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. It can streamline a business for simplicity, achieve digital transformation, increase service quality, improve service delivery or contain costs. It consists of integrating applications, restructuring labor resources and using software applications throughout the organization.
Service Delivery Management - 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.

Nice To Haves

Administered and supported Microsoft Power Platform (Power Apps, Power Automate, Dataverse, Copilot Agents, Azure Services) in enterprise environments highly preferred.
Experience applying automation design patterns, managed error handling, monitoring, and provided operational support for platforms highly preferred.
Developed and delivered platform usage, reliability, and adoption reporting for leadership and stakeholders preferred.
Implemented environment strategies, solution packaging, and application lifecycle management practices for low-code platforms preferred.
Managed security, identity, and access controls within Microsoft 365 and Power Platform preferred.

Responsibilities

Identifies performance bottlenecks, conducts root cause analysis, and proposes and implements solutions to enhance platform & system performance and resource utilization. Establishes performance benchmarks, conducts capacity planning, and collaborates with other teams, including junior engineers and cross functional teams to optimize infrastructure performance and activities.
Contributes to the development and improvement of troubleshooting procedures, measures to minimize platform & system downtime, and documentation. Partners with technical support to drive for resolution. Leads and manages platform & system technical support activities and troubleshooting efforts, including handling escalated and complex issues. Performs advanced system tuning and optimization to maximize performance using IT Service Management practices. Collaborates with Systems and Solution Architects, Governance, Regulatory and Compliance as well as other organizational teams to enhance support processes and methodologies.
Participates in future platform & system backup planning. Leads the design of disaster/system recovery and testing.
Analyzes Power Platform, Copilot Studio, AI agent, and digital workplace platform performance and utilization data to identify trends and patterns. Provides recommendations for optimization, cost efficiency, reliability, and value realization. Prepares executive‑ready reporting and drives corrective actions to continuously improve platform and AI service outcomes.
Leads development of advanced troubleshooting procedures and operational runbooks for Power Platform solutions, AI agents, and automations. Serves as the primary escalation point for complex platform, automation, or agent issues. Coordinates with vendors and internal teams to resolve incidents and continuously improve service reliability and operational maturity.
Leads the creation and maintenance of a comprehensive knowledge base for platforms & systems, including troubleshooting guides, configuration documentation, and best practices. Promotes knowledge sharing culture by organizing training sessions, mentoring junior engineers, and encouraging cross-team collaboration.
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.