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Ippon Technologies

IT consulting and cloud modernization partner

Staff AWS Solution Architecture Consultant

Cloud EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of consulting experience.
  • At least 5 years of experience building, managing, coaching, and growing high-performing technical teams.
  • At least 5 years of experience with product development and product-oriented ways of working.
  • At least 7 years of experience and deep understanding of modern software development practices, including software architecture, software craft, DevOps, continuous integration and continuous delivery, testing strategies, and cloud-native delivery.
  • Strong working knowledge of agile delivery practices, with the judgment to adapt methods to client context rather than applying process mechanically.
  • Practical, hands-on experience engineering large language model-enabled applications or agentic systems, including evaluation and production considerations, and using AI-assisted development with appropriate engineering controls.
  • Ability to explain AI capabilities and failure modes credibly and collaborate across application, platform, cloud, data, and security disciplines.
  • At least 7 years of experience in financial services, banking, insurance, capital markets, or related regulated industries.
  • Ability to manage people, priorities, offerings, delivery quality, and practice operations simultaneously.
  • Client-facing communication skills to engage credibly with executives, product leaders, engineering leaders, architects, and delivery teams.
  • Experience supporting business development, proposal creation, solution design, or account growth in a consulting environment.
  • Ability to travel up to 20% of the time.

Responsibilities

  • Lead and grow the practice, including its people, skill mix, offerings, delivery standards, and market positioning, and set priorities for recruiting, utilization, and commercial performance with the leadership team.
  • Recruit, develop, and retain consultants, engineers, architects, product leaders, and delivery practitioners who combine technical depth with product thinking, customer empathy, clear communication, and comfort with ambiguity.
  • Build a pipeline of technical leaders capable of independently leading complex, ambiguous customer engagements.
  • Create an environment in which engineers can experiment and move quickly while remaining accountable for quality and outcomes.
  • Build a culture grounded in software craft, product thinking, architectural discipline, and practical AI adoption, emphasizing psychological safety, accountability, and measurable improvement.
  • Define AI engineering development paths through training, mentoring, and hands-on learning, and grow senior engineers and architects who can independently lead complex engagements.
  • Continuously improve consulting methods, AI skills, delivery playbooks, and technical standards with Customer Success and Senior Leadership.
  • Provide senior oversight across software and product engineering, AI-enabled delivery, modernization, and architecture engagements, ensuring solutions are maintainable, secure, scalable, and aligned to client outcomes.
  • Champion modern engineering practices, including Domain-Driven Design, Event Storming, API design, event-driven and microservice architectures where appropriate, automated testing, DevOps, continuous delivery, and observability; drive improvement using DORA, flow, and business-outcome metrics.
  • Coach cross-functional client teams across product, engineering, architecture, security, and compliance toward sustainable delivery models that balance speed, governance, quality, and business value.
  • With the Intelligent Data & Cloud team, define how application teams use shared capabilities for deployment, security, observability, and operations.
  • With the CTO, shape the organization's internal and external approach to applied AI across product engineering, software development, architecture, and delivery transformation, distinguishing durable capabilities from short-lived trends.
  • Help clients identify and pursue practical AI use cases that improve delivery speed, product quality, customer experience, or operational efficiency.
  • Build team capability in large language model applications, agentic systems, retrieval-augmented generation, tool integration, evaluation, observability, and human-in-the-loop design; engineer for AI failure modes, security, privacy, reliability, and client governance.
  • Establish repeatable patterns for moving AI prototypes into production and applying AI across the software development lifecycle, with testing, evaluation, monitoring, and human review.
  • Evaluate partner technologies that improve delivery or meet sustained client demand, and work with data and cloud leaders to optimize the use of selected partners such as Anthropic, AWS, and Snowflake in delivery and offerings.
  • Support sales pursuits, proposals, and executive conversations; act as a trusted advisor to senior stakeholders, translating ambiguous needs into clear engagement strategies, delivery plans, and measurable outcomes.
  • Define and package offerings across AI-enabled product engineering, software modernization, delivery effectiveness, and engineering excellence.
  • Build brand awareness through events, speaking engagements, blogs, white papers, and client success stories.

Desired Qualifications

  • Experience leading a consulting practice, capability, center of excellence, or large technology delivery organization.
  • Experience using DORA metrics, SPACE, flow metrics, or other engineering effectiveness frameworks to improve delivery performance.
  • Experience developing engineering training, technical career paths, mentoring programs, or communities of practice that build practical AI capability.
  • Familiarity with AWS, Snowflake, Anthropic, modern data platforms, and cloud-native architecture.
  • Experience with modernization programs, particularly AWS MAP, legacy system transformation, platform engineering, or large-scale digital product delivery.
  • Experience creating market-facing offerings, white papers, executive presentations, workshops, and assessment frameworks.
  • Understanding of regulatory requirements and compliance standards, such as GDPR, HIPAA, NIST, and ISO, impacting AI and software within the financial services and insurance industries.
  • Knowledge of IT strategy and management.
  • Demonstrated experience presenting talks at conferences, publishing white papers, and public speaking.
  • Bachelor's degree in Computer Science or a related field.

About the Company

Ippon Technologies

IT consulting and cloud modernization partner

Ippon Technologies is a B2B technology partner that guides organizations through digital transformation, offering consulting and execution services across cloud strategy and migration, data and analytics, AI, software engineering, and platform modernization. It works end-to-end from strategy to implementation, including AWS Migration Acceleration Program-based cloud migration, data analytics to improve decision-making, AI for experimentation and deployment, and operating-model modernization. The company differentiates itself through a disciplined, results-driven approach inspired by its founder’s judo background and by its status as an AWS Advanced Partner with open-source contributions like JHipster. Its goal is to help clients modernize technology stacks, accelerate time-to-value for digital initiatives, and scale their capabilities in sectors such as banking, insurance, and capital markets, especially in the US.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$550K
Headquarters
Paris, France
Founded
2002

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