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# Platform Engineer

- **Company:** Kforce Inc.
- **Location:** Houston, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Performance Management, Audit Trail, User Authentication, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Configuration Management, Continuous Integration, DevOps, Programming Tools, Github, Key Management, Log Analysis, Microsoft Dynamics, OAuth, Performance Tuning, Systems Development Life Cycle, Role-Based Access Control, Power BI, Systems Integration, Datadog, Enterprise Application Integration, Data Logging, Enterprise Software Applications, Cloud Platform System, System Availability, Large Language Models, Multi-Agent Systems, Software Security, Software Troubleshooting, Containerization, Infrastructure Automation Frameworks, Deployment Automation, Playwright, Machine Learning Operations, Restful APIs, Serverless Computing
- **Published:** June 3, 2026
- **Apply:** https://www.kforce.com/find-work/search-jobs/#/detail/MTY5Nn5XUUd-MjE3ODUyNVQxfjk5/

## About the Role

* 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
 * Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
 * Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
 * Experience with infrastructure automation, deployment scripting, environment management, and configuration management
 * Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
 * Experience supporting cloud-native and hybrid architectures across Azure and AWS
 * Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
 * Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
 * Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
 * Experience supporting agile product delivery teams in large enterprise environments
 * Strong troubleshooting, automation, and systems thinking capabilities

Preferred Qualifications:

 * Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
 * Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
 * Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
 * Experience with containerization, serverless architectures, and modern cloud platform services
 * Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
 * Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments

## Description

Kforce has a client that is seeking a Platform Engineer - AI & Automation Platform for a Remote role or Onsite in Houston, TX. Overview: Kforce is seeking a highly technical Platform Engineer to help scale a governed, AI-accelerated engineering ecosystem across Power Platform, Dynamics 365, Azure, AWS, and enterprise applications. This role focuses on building and advancing shared platform capabilities that enable product teams to deliver secure, scalable, AI-powered solutions. Key areas include platform reliability, automation, AI-enabled development, CI/CD modernization, observability, and developer productivity. Key Responsibilities:

 * Build and evolve shared platform capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, and integrations
 * Enable AI-assisted development workflows (Copilot, local agents, orchestration, automated SDLC pipelines)
 * Design and maintain CI/CD pipelines, deployment automation, environment strategies, and governance controls
 * Develop reusable services, frameworks, connectors, templates, and developer tooling
 * Support AI/automation lifecycle tools (Power Platform Copilot, M365 Copilot, Azure AI, ML workflows)
 * Implement observability (logging, monitoring, alerting, tracing, dashboards)
 * Drive automated testing, validation pipelines, and release gating practices
 * Enforce platform security (RBAC, API security, secrets management, DLP, audit logging)
 * Partner with Architecture, Security, Cloud, and Data teams to align with enterprise standards
 * Support AI governance (Responsible AI, agent lifecycle, risk controls, monitoring)
 * Assist teams with platform onboarding, provisioning, troubleshooting, and optimization
 * Improve developer experience through automation, self-service tools, and reusable assets
 * Drive reliability, scalability, performance optimization, and cost efficiency


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