Bizoforce Hiring – Lead Platform Support Engineer | Cincinnati, Ohio, USA

Confidential; Cincinnati (OH); On-site; USD 150,000 - 190,000; Full time

Job summary

Confidential seeks 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 role emphasizes scalable, secure AWS solutions and reusable architectural patterns for enterprise workloads.

Candidates should have 12–15 years in AWS architecture, strong leadership, and expertise in IaC, DevSecOps, and cost governance.

Qualifications

• 12-15 years in cloud architecture or related technical roles.
• Hands-on AWS architecture with enterprise-scale platforms.
• Familiarity with AI/ML workloads, IaC, DevSecOps, and automation.

Responsibilities

• Design scalable, secure AWS architectures for enterprise apps and shared platforms.
• Define reusable cloud patterns, reference architectures, and platform services.
• Drive modernization and improve developer productivity via standardization and automation.
• Establish architecture practices for monitoring, reliability, and production readiness.
• Support AI/ML workloads, data pipelines, and inference solutions.
• Implement security, access controls, encryption, logging, and governance.
• Promote DevSecOps, IaC, and automated deployment pipelines, with standardized releases.
• Collaborate with stakeholders to translate requirements into roadmaps and plans.
• Lead design reviews and ensure adherence to enterprise standards.

Skills

AWS Solution Architecture

Cloud Platform Engineering

Platform modernization

Infrastructure as Code

DevSecOps

CI/CD pipelines

Cloud Security

Governance

Monitoring / SRE

HA / DR design

AI/ML workload enablement

Leadership & governance

Education

Bachelor's degree in CS/IT/Engineering

Job description

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, DevSecOps, cloud governance, and cost optimization is highly desirable.

Experience Required

• 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 DevSecOps, Infrastructure as Code, and automated deployment pipelines.
• Strong leadership, stakeholder management, and technical mentoring skills.

Required Skills

• AWS Solution Architecture
• AWS Cloud Architecture and Platform Engineering
• Enterprise Cloud Modernization
• Cloud Infrastructure Design
• Infrastructure as Code (IaC)
• DevSecOps 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

Good- to-Have Technical Experience

1. AWS Cloud Architecture and Platform Engineering
   • 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.
2. Cloud Operations and Operational Excellence
   • 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.
3. AI/ML and Data Platform Enablement
   • 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.
4. Security, Governance, and DevSecOps
   • 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.
5. Cloud Optimization and Technical Leadership
   • 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.

Key Responsibilities

• 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 DevSecOps 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 architectural standards and approved cloud practices.
• Optimize cloud infrastructure costs, performance, scalability, and maintainability.
• Mentor engineers and architects on AWS architecture, platform engineering, and cloud operational best practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 12-15 years of professional experience in cloud architecture, platform engineering, or related technical roles.
• Strong hands-on expertise in AWS Solution Architecture.
• Experience designing and implementing enterprise-grade cloud platforms.
• Knowledge of Infrastructure as Code, DevSecOps, cloud security, and automation.
• Familiarity with AI/ML workloads, data pipelines, and cloud-based AI enablement.
• Strong leadership, communication, problem-solving, and stakeholder management skills.

Assignment Details

• Location: Cincinnati, Ohio, USA
• Work Mode: On-site
• Open Positions: Multiple
• Job Type: Contract / Subcontract
• Employment Type: Full-Time
• Working Hours: 9:00 AM-5:00 PM
• Assignment Start Date: September 24, 2026
• Assignment End Date: Not specified
• Timesheet Cycle: Weekly