Cloud Architecture & Technical Strategy
Provide deep expertise in AWS MAP programs, migration frameworks, and modernization pathways including rehost, replatform, and refactor strategies
Architect and design cloud-native solutions that optimize performance, cost, and security while ensuring alignment with clients' strategic goals and product roadmap, with strong emphasis on networking, IAM, governance, resiliency, and compliance
Evaluate and recommend the most effective AWS cloud solutions and AI technologies for each project, ensuring scalability, security, and cost-efficiency
Identify and mitigate potential architectural and technological risks in cloud deployments, ensuring the implementation of secure, resilient, and scalable solutions
Serve as a senior technical advisor for Bedrock, GenAI, and cloud-native innovation opportunities, helping clients evaluate practical enterprise AI adoption
Promote AWS best practices and standards in architecture, security, and deployment
Document architectures, assessments, and recommendations in detailed, actionable reports that provide clear, business-aligned strategies for cloud adoption and AI integration
Help shape Ippon’s cloud and AI go-to-market strategy by identifying repeatable offerings, accelerators, and strategic partnership opportunities
Client Engagement & Solution Consulting
Lead technical discovery, assessments, and solution architecture for cloud migration and modernization opportunities across AWS and Azure environments
Support pre-sales engagements by translating client business needs into scalable technical strategies, solution designs, and Statements of Work
Support clients in developing cloud architecture strategies centered on AWS, aligning these solutions with clients' business objectives to drive innovation, scalability, and efficiency
Support clients in developing migration and modernization journeys, leveraging AWS programs like MAP, the Well-Architected Framework, or Immersion Days
Collaborate with client stakeholders to understand their business challenges and objectives, ensuring that solutions are tailored to address real business needs while leveraging cutting-edge AWS services
Thought Leadership & Team Development
Stay ahead of industry trends in the AWS portfolio, complementary ISVs, and cloud computing, driving innovation by sharing knowledge with clients and internal teams
Be a visible thought leader by authoring blogs, presenting at industry conferences, and leading internal and external knowledge-sharing initiatives
Collaborate across teams to enhance and expand the organization’s cloud architecture capabilities
Mentor consultants and engineers through technical leadership, architecture reviews, and best practice guidance
Minimum Qualifications:
7+ years of cloud engineering, or architecture experience with emphasis on migrations, modernization, and enterprise cloud strategy
5+ years of consulting experience with the ability to translate technical solutions into business value for diverse stakeholders
5+ years of expertise in AWS (required) with AWS MAP, landing zones, security, networking, and Infrastructure as Code (Terraform/Ansible)
5+ years of team leadership experience, including mentoring and coaching, leading solution design, and leading delivery of complex cloud projects
Excellent communication skills, with the ability to explain complex cloud and AI solutions to both technical and non-technical audiences
Proven ability to manage multiple priorities and shift focus seamlessly across tasks and projects
Ability to travel occasionally for client meetings or industry events
AWS Solutions Architect Professional or equivalent advanced certification preferred or expected
Demonstrated experience supporting technical pre-sales, solution shaping, and enterprise consulting engagements
Experience with Amazon Bedrock, GenAI architecture patterns, or enterprise AI/ML modernization initiatives
Deep knowledge of cloud security, IAM, governance, resiliency, and compliance frameworks
Strong scripting and automation experience (Python, Bash, or similar)
Preferred Qualifications:
Bachelor’s degree in Computer Science, Cloud Engineering, or a related field preferred
Experience in AI-driven cloud solutions and applying AI/ML technologies to enhance cloud architectures
Proven expertise in AWS services and partner programs
Experience with AWS data pipeline/ETL tools and integration with Snowflake
Consulting experience in regulated industries such as Financial Services, Healthcare, or Public Sector