At a Glance
- Tasks: Design and deliver modern cloud platforms using Google Cloud services.
- Company: Join NTT DATA, a global leader in tech and innovation.
- Benefits: Flexible work options, competitive salary, and tailored wellbeing benefits.
- Other info: Dynamic environment with endless growth opportunities and a commitment to diversity.
- Why this job: Make an impact by enabling AI and digital transformation for clients.
- Qualifications: Experience with Google Cloud and a passion for automation and AI.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a Google Cloud Platform Technical Architect to join our team as part of our ever-growing Cloud and Security Practice. Cloud services are core to our clients' journeys toward digital transformation, and increasingly play a critical role in enabling AI and generative AI capabilities at enterprise scale. In this area, we combine architecture, engineering, automation, and emerging technology expertise to help make our customers' transformation needs a reality.
The Google Cloud Platform Technical Architect is a customer-facing domain expert who applies broad technical skills to design and deliver modern cloud platforms, from cloud foundations and modern provisioning to migration and modernisation strategies, as well as cloud-native, data-driven, and AI-enabled solutions that meet business needs by applying the most appropriate cloud deployment models and Google Cloud services for each case.
You will also help clients understand how cloud platforms can support AI adoption, including generative AI, machine learning, intelligent automation, AI-assisted operations, and responsible AI practices. The Cloud Architect is a subject matter expert in one or more categories that may include strategy and transformation, cloud-native solutions, migration and modernization, cloud foundations and infrastructure, FinOps, cloud DevOps, automation, security, data platforms, application modernisation, AI-ready platforms, and generative AI solution architecture.
This is an excellent opportunity for an experienced Cloud Architect with demonstrable skills in designing new cloud solutions and leading technical discussions with clients. A keen interest in Infrastructure as Code, DevOps tools, culture, methodology, automation, and the practical application of AI across cloud platforms is essential for this role.
You will play a key role in delivering cloud projects and helping our clients in their journey to Google Cloud. You should be motivated to help deliver highly available cloud solutions, contribute to technical definitions, assessments, workshops, and cloud migration implementations, and continuously look for opportunities to automate processes, remediate technical debt, improve operational efficiency, and identify areas where AI and automation can accelerate business outcomes.
We offer a highly innovative environment with the opportunity to work across different sectors, including financial services, public sector, insurance, telco and media. You will work closely with a team of highly skilled engineers and cloud architects, contributing to internal innovation projects as well as client delivery. Come and join a dynamic, motivating, and challenging environment, working with the latest technologies and solving complex business challenges using cloud, automation, and AI-enabled solutions.
Proven experience defining enterprise-scale migrations to Google Cloud, with a strong understanding of migration strategies including rehost, replatform, refactor, repurchase, retire, retain, and relocate. Broad hands-on knowledge of core Google Cloud services across compute, containers, storage, databases, networking, security, observability, DevOps, and cost management. In-depth experience designing Google Cloud landing zones and cloud foundations, including resource hierarchy, projects, billing, IAM, shared VPC, hub-and-spoke networking, service perimeters, guardrails, logging, monitoring, governance, and security controls.
Experience designing AI-ready cloud and data platforms that support ingestion, storage, governance, analytics, model deployment, monitoring, and integration with enterprise applications. Understanding of generative AI solution patterns, such as retrieval-augmented generation, enterprise search, intelligent assistants, document processing, content generation, and AI-enabled workflow automation. Awareness of AI governance, responsible AI, data privacy, security, model risk, auditability, and compliance considerations for AI-enabled cloud solutions.
Ability to identify opportunities to use automation, AI-assisted engineering, AIOps, and cloud-native tooling to improve reliability, observability, delivery speed, and operational efficiency. Excellent English verbal and written communication skills, with the ability to engage effectively with both technical and non-technical stakeholders. Pre-sales or commercial experience.
Comfortable with Continuous Integration and Continuous Deployment concepts and common approaches using tools such as Jenkins, Git, Azure DevOps, GitHub Actions, GitLab CI/CD, Cloud Build, or Cloud Deploy. Experience with Anthos, Apigee, Cloud Composer, Dataflow, Pub/Sub, Looker, Vertex AI, Model Garden, Document AI, Gemini, or other Google Cloud data, analytics, API management, AI, or generative AI services. Experience designing retrieval-augmented generation architectures using vector search, embeddings, enterprise data sources, access controls, and secure application integration patterns.
Experience with MLOps, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, experimentation, and deployment pipelines. Experience with AIOps, intelligent observability, automated remediation, anomaly detection, and AI-assisted cloud operations. Experience with cloud security, compliance, and governance frameworks, including considerations specific to AI-enabled workloads.
Google Cloud certifications, such as Professional Cloud Architect, Professional Cloud DevOps Engineer, Professional Cloud Security Engineer, Professional Cloud Network Engineer, Professional Data Engineer, Professional Machine Learning Engineer, or Associate Cloud Engineer.
At NTT DATA, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D. Make this the place where you belong, learn, and build your network. We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. Join us in building a truly diverse and empowered team.
Cloud Engineer/DevOps Engineer in London employer: NTT DATA
NTT DATA is an exceptional employer that values its employees by fostering a collaborative and innovative work culture in the heart of London. With a strong emphasis on professional development, we offer numerous growth opportunities and training programs to enhance your skills in desktop support and customer service. Join us to be part of a dynamic team where your contributions are recognised and rewarded, making a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Engineer/DevOps Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at NTT DATA or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to NTT DATA.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like NTT DATA.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like NTT DATA that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Cloud Engineer/DevOps Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at NTT DATA.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NTT DATA and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at NTT DATA
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If NTT DATA uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
