Enterprise Cloud Architect - Google

Overview

Insight Enterprises is a Fortune 500 Solutions Integrator helping organizations accelerate transformation by unlocking the power of people and technology. With a 35-year foundation in hardware and software supply chain augmenting our deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions to achieve extraordinary results.

Join SADA as a Senior Enterprise Cloud Architect, AI-Powered Application Development

Your Mission

As a Senior Enterprise Cloud Architect at SADA, your main responsibility is to lead the design, prototyping, development, and deployment of scalable, AI-driven software solutions for our customers on Google Cloud Platform (GCP). You will be a hands-on leader, researching and presenting solutions, building prototypes to validate ideas, and spearheading the development of projects to deliver on your architectural vision.

Collaborating with customers, engineering teams, sales, and Googlers, you will architect solutions across multiple stacks, including APIs, web and mobile applications, and edge computing. You will act as the account CTO, overseeing software engineering and AI / ML projects for large and complex client engagements. Your mission is to help customers understand how Google Cloud technology, particularly in the AI and application development domains, can solve their technical challenges and enable future success.

What You Would Be Doing on a Daily Basis

• Work on diverse projects in various stages, from pre-sales to delivery.
• Design and prototype Proof of Concepts (PoCs) to gather customer and team feedback.
• Lead and mentor engineers on the project, providing hands-on technical guidance, especially when implementing niche architectural patterns.
• Conduct quality reviews of solutions delivered by other engineers.
• Maintain transparent communication with clients to provide progress updates, gather feedback, and identify new opportunities.
• Assist Project Managers and clients in making high-impact decisions to improve the quality and time-to-market of project delivery.
• Research and develop new processes and patterns to improve the quality and efficiency of future project delivery.

Pathway to Success

You will inspire cross-functional leadership from our engineering teams and be trusted to guide large enterprise engagements. Success in this role means establishing yourself as a renowned specialist within SADA, earning a reputation with customers and Google Cloud teams for your wide-ranging domain knowledge in both application modernization and artificial intelligence. Other engineers will defer to your expertise on project architectures.

Collaborating with client architects and technology leaders, you will design expansive client initiatives. Your success will be measured by client satisfaction, deals won, and your contributions to the team's goals.

Expectations

• Required Travel:
  You can expect up to 25% travel to customer sites, conferences, and other related events.
• Customer Facing:
  This is a daily customer-facing role. You will present solutions, architectures, demos, and other technical materials to build trust and confidence in SADA's capabilities.
• Onboarding / Training:
  The first several weeks are dedicated to learning, including training materials, compliance, and meetings with relevant team members.

Job Requirements

Required Credentials :

• Bachelor's or Master's degree in Computer Science, Software Engineering, or 10 years of relevant work experience in software development and architecture.
• Google Professional Cloud Architect Certified, or able to complete the certification within the first 90 days of employment.

Required Qualifications :

• A minimum of 10 years of experience in software development and architecture, with at least 5 years of experience in artificial intelligence, machine learning, or data science.
• Proven track record of designing, implementing, and running scalable and reliable enterprise software solutions in production.
• Expertise in development with one or more of the following:
  Python, Java / Kotlin, Spring Boot, Golang, or Node.js.
• Strong experience leveraging GCP's AI / ML services (e.g., Vertex AI, AutoML, Cloud Natural Language, Vision AI).
• Experience with leveraging Generative AI in applications.
• Experience designing, building, and maintaining high-quality, developer-friendly REST APIs.
• Experience with containerization (Docker, Kubernetes) for deploying and managing AI / ML and application workloads.
• Experience providing leadership and direction on software development projects, ideally as a senior technical lead, VP of Engineering, or CTO.
• Ability to lead technical design sessions to architect and document solutions that align with client business goals.
• Experience with CI / CD pipelines and writing automated tests (unit, integration, end-to-end).
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Preferred…