Bizoforce – Lead Platform Support Engineer | Cincinnati, Ohio
Job in
Cincinnati, Hamilton County, Ohio, 45208, USA
Listed on 2026-10-18
Listing for:
Confidential
Full Time
position Listed on 2026-10-18
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, AWS, SRE/Site Reliability, Systems Engineer
Job Description & How to Apply Below
We are looking for an experienced Lead Platform Support Engineer - AWS Solution Architect to lead the design and architecture of cloud platforms supporting enterprise operations, platform modernization, and AI enablement. The ideal candidate should have extensive expertise in AWS solution architecture, cloud platform engineering, automation, and operational excellence. The candidate will be responsible for designing scalable, secure, and resilient AWS solutions, establishing reusable architectural patterns, and enabling teams to deliver reliable and efficient cloud services.
Experience with AI/ML workloads, Infrastructure as Code, Dev Sec Ops , cloud governance, and cost optimization is highly desirable.
- Experience:
12-15 years as per the job requirements. - Strong expertise in AWS Solution Architecture and cloud platform design.
- Proven experience designing scalable, secure, and resilient enterprise cloud solutions.
- Experience in platform engineering, modernization, automation, and cloud operations.
- Knowledge of AI/ML infrastructure, data pipelines, and AI enablement solutions.
- Experience with Dev Sec Ops , Infrastructure as Code, and automated deployment pipelines.
- Strong leadership, stakeholder management, and technical mentoring skills.
- AWS Solution Architecture
- AWS Cloud Architecture and Platform Engineering
- Enterprise Cloud Modernization
- Cloud Infrastructure Design
- Infrastructure as Code (IaC)
- Dev Sec Ops Practices
- CI/CD and Automated Deployment Pipelines
- Cloud Security and Governance
- Monitoring and Operational Excellence
- High Availability and Disaster Recovery
- AI/ML Workload Enablement
- Cloud Cost and Performance Optimization
- Technical Leadership and Architecture Governance
- Designing scalable, secure, and resilient AWS architectures.
- Building cloud platforms for enterprise applications and shared services.
- Developing reusable cloud patterns, reference architectures, and standardized services.
- Improving developer productivity through platform enablement and automation.
- Designing solutions for monitoring, reliability, and production support readiness.
- Improving system recoverability, availability, and operational efficiency.
- Implementing automation to simplify cloud operations and reduce manual effort.
- Establishing best practices for production support and incident prevention.
- Supporting cloud infrastructure for AI/ML workloads.
- Enabling data pipelines and AI inference solutions.
- Designing cloud integration patterns for AI-enabled enterprise applications.
- Establishing secure and scalable foundations for AI capabilities.
- Implementing cloud security, access controls, encryption, and logging standards.
- Establishing governance frameworks and security guardrails.
- Enabling Infrastructure as Code and automated deployment pipelines.
- Standardizing release processes and integrating policy controls into cloud delivery.
- Ensuring alignment with enterprise cybersecurity and compliance requirements.
- Optimizing cloud costs, performance, scalability, and maintainability.
- Selecting appropriate AWS services based on workload requirements.
- Leading architecture reviews and promoting approved technical standards.
- Mentoring engineers and architects on AWS architecture and cloud operations.
- Collaborating with business and technical stakeholders to define architecture roadmaps.
- Design and lead scalable, secure, and resilient AWS architectures for enterprise applications and shared platforms.
- Define reusable cloud architecture patterns, reference architectures, and platform services.
- Drive platform modernization and improve developer productivity through standardization and automation.
- Establish architecture practices that improve monitoring, reliability, recoverability, and production support readiness.
- Support the development of cloud foundations for AI/ML workloads, data pipelines, and inference solutions.
- Implement cloud security, access control, encryption, logging, and governance standards.
- Promote Dev Sec Ops practices, Infrastructure as Code, automated deployment pipelines, and standardized release processes.
- Collaborate with technical and business stakeholders to translate requirements into architecture roadmaps and implementation plans.
- Lead design reviews and ensure adherence to enterprise…
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