What are the responsibilities and job description for the Platform Engineer position at Kforce Technology Staffing?
RESPONSIBILITIES:
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
REQUIREMENTS:
* 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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
REQUIREMENTS:
* 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Salary : $80 - $90