Enterprise Cloud Architect - Google in London
Enterprise Cloud Architect - Google

Enterprise Cloud Architect - Google in London

London Full-Time 48000 - 72000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the design and development of AI-driven software solutions on Google Cloud.
  • Company: Join Insight Enterprises, a Fortune 500 Solutions Integrator with a collaborative culture.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Why this job: Make a real impact by architecting innovative solutions for diverse clients using cutting-edge technology.
  • Qualifications: 10+ years in software development, expertise in AI/ML, and strong leadership skills required.
  • Other info: Dynamic environment with excellent career growth and a focus on creativity and autonomy.

The predicted salary is between 48000 - 72000 ÂŁ 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: 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 in London employer: Insight

At Insight Enterprises, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our supportive environment, where autonomy and creativity are encouraged, leading to an impressive average tenure of over six years. With competitive benefits and a focus on our core values of Hunger, Heart, and Harmony, we empower our team members to achieve extraordinary results while making a meaningful impact in the world of technology.
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Contact Detail:

Insight Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Enterprise Cloud Architect - Google in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work at Insight or similar companies. A friendly chat can lead to referrals, which are often the golden ticket to landing an interview.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and cloud solutions. This gives you a chance to demonstrate your expertise and creativity, making you stand out in interviews.

✨Tip Number 3

Prepare for the spotlight! Research common interview questions for Enterprise Cloud Architects and practice your responses. Be ready to discuss your experience with GCP and AI-driven applications, as well as how you've tackled challenges in past projects.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Insight, which can make a great impression.

We think you need these skills to ace Enterprise Cloud Architect - Google in London

Google Cloud Platform (GCP)
AI-driven software solutions
Software Development
Architecture Design
Prototyping
Python
Java/Kotlin
SpringBoot
Golang
Node.js
AI/ML services
REST APIs
Containerization (Docker, Kubernetes)
CI/CD pipelines
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of Enterprise Cloud Architect. Highlight your experience with Google Cloud Platform, AI, and software architecture. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a personal touch.

Showcase Relevant Projects: If you've worked on projects that relate to AI-driven solutions or cloud architecture, make sure to mention them. We want to see your hands-on experience and how you've tackled challenges in the past.

Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do.

How to prepare for a job interview at Insight

✨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, as well as any relevant architectural patterns you've implemented.

✨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, especially in complex projects, and be ready to discuss your approach to fostering collaboration.

✨Communicate Clearly

You'll be presenting solutions to clients, so practice articulating complex technical concepts in a way that's easy to understand. Think about how you can tailor your communication style to different audiences, whether they're technical or non-technical stakeholders.

✨Prepare for Problem-Solving Scenarios

Expect to face real-world scenarios during the interview. Prepare to discuss how you would approach designing scalable software solutions or troubleshooting issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

Enterprise Cloud Architect - Google in London
Insight
Location: London

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