Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of AI-driven software solutions on Google Cloud.
- Company: Join a Fortune 500 tech company with a culture of innovation and collaboration.
- Benefits: Enjoy competitive pay, great perks, and a supportive work environment.
- Why this job: Make a real impact by solving complex challenges with cutting-edge technology.
- Qualifications: 10+ years in software development, with expertise in AI and cloud technologies.
- Other info: Dynamic role with opportunities for growth and learning in a fast-paced environment.
The predicted salary is between 48000 - 84000 £ per year.
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.
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:
Enterprise Cloud Architect - Google. employer: Insight Enterprises
Contact Detail:
Insight Enterprises Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Cloud Architect - Google.
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to cloud architecture and AI. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Google Cloud Platform and AI-driven solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to enterprise cloud architecture. Be ready to discuss your experience with GCP, AI/ML, and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and passion for cloud technology and AI.
We think you need these skills to ace Enterprise Cloud Architect - Google.
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Enterprise Cloud Architect role. Highlight your experience with Google Cloud Platform and AI-driven solutions, as this will show us you understand what we're looking for.
Showcase Your Projects: Include specific examples of projects you've led or contributed to that align with the job description. We love seeing how you've tackled challenges in software development and architecture, especially in AI and cloud environments.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your skills and experiences. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.
Apply Through Our Website: Don't forget to submit your application through our official website! This ensures we receive all your details correctly and helps us get back to you faster. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Insight Enterprises
✨Know Your Stuff
Make sure you brush up on your knowledge of Google Cloud Platform and its AI/ML services. Be ready to discuss how you've used these technologies in past projects, especially in designing scalable solutions. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Leadership Skills
As a Senior Enterprise Cloud Architect, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've guided engineers in previous roles, particularly in implementing architectural patterns or managing complex projects. This will highlight your hands-on leadership style.
✨Communicate Clearly
Since this role involves a lot of client interaction, practice articulating complex technical concepts in simple terms. Think about how you would explain your architectural vision to non-technical stakeholders. Clear communication can build trust and confidence in your capabilities.
✨Prepare for Problem-Solving
Expect to face scenario-based questions during the interview. Think through potential challenges you might encounter when designing solutions and how you would address them. This will showcase your critical thinking skills and your ability to deliver under pressure.
