Enterprise Cloud Architect - Google
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, SpringBoot, 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 Qualifications:
Deep understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and popular ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Deep understanding of MLOps principles and their implementation on GCP using tools like Vertex AI Pipelines.
Experience with other major cloud providers (Microsoft Azure or Amazon AWS).
Experience with API management solutions such as Apigee or Mulesoft.
Experience delivering real-time applications using streaming protocols like WebSockets or WebRTC.
Familiarity with data architecture principles.
Experience with Google Kubernetes Engine (GKE).
Exposure to geospatial APIs and frameworks (Google Maps API, PostGIS)
About Insight: We believe that by giving you the freedom to think big and empower you to reach your full potential, together we will achieve the best outcomes. Along with excellent benefits and a compelling reward package, we offer the opportunity to work in a supportive environment with a high level of autonomy and creativity - there’s a reason our average employee tenure is over 6 years.
We strive to display our three core values of Hunger, Heart, and Harmony every day. They represent and drive who we are here at Insight and by doing so we are doing amazing things. Insight started in a garage in 1988, and it is through harnessing our three core values that two brothers, Eric and Tim Crown, steered Insight to the Fortune 500 company it is today. We are now a Global IT Services and Solutions business, enthusiastic about helping customers and the real people who sit behind them.
Application Details: Insight is an equal opportunity employer, and we are committed to achieving diversity and equality within our organisation. We seek out people from diverse backgrounds and encourage you to apply. We will endeavour to contact you within five business days, should we feel your profile is a good match for this role. If you do not hear from us within this time, please presume that on this occasion, your application was not successful. A full job description will be provided upon application.
Enterprise Cloud Architect - Google
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, SpringBoot, 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 Qualifications:
Deep understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and popular ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Deep understanding of MLOps principles and their implementation on GCP using tools like Vertex AI Pipelines.
Experience with other major cloud providers (Microsoft Azure or Amazon AWS).
Experience with API management solutions such as Apigee or Mulesoft.
Experience delivering real-time applications using streaming protocols like WebSockets or WebRTC.
Familiarity with data architecture principles.
Experience with Google Kubernetes Engine (GKE).
Exposure to geospatial APIs and frameworks (Google Maps API, PostGIS)
About Insight: We believe that by giving you the freedom to think big and empower you to reach your full potential, together we will achieve the best outcomes. Along with excellent benefits and a compelling reward package, we offer the opportunity to work in a supportive environment with a high level of autonomy and creativity - there’s a reason our average employee tenure is over 6 years.
We strive to display our three core values of Hunger, Heart, and Harmony every day. They represent and drive who we are here at Insight and by doing so we are doing amazing things. Insight started in a garage in 1988, and it is through harnessing our three core values that two brothers, Eric and Tim Crown, steered Insight to the Fortune 500 company it is today. We are now a Global IT Services and Solutions business, enthusiastic about helping customers and the real people who sit behind them.
Application Details: Insight is an equal opportunity employer, and we are committed to achieving diversity and equality within our organisation. We seek out people from diverse backgrounds and encourage you to apply. We will endeavour to contact you within five business days, should we feel your profile is a good match for this role. If you do not hear from us within this time, please presume that on this occasion, your application was not successful. A full job description will be provided upon application.