At a Glance
- Tasks: Design and deliver scalable, secure cloud platforms with a focus on AI and data engineering.
- Company: Join a leading tech company in London/Nottingham with a passion for innovation.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and cutting-edge projects.
- Why this job: Be at the forefront of cloud technology and make a real impact in AI enablement.
- Qualifications: Strong AWS experience, platform engineering skills, and proficiency in Python required.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for an experienced AWS Platform Architect to lead the design and delivery of scalable, secure cloud platforms with a strong focus on AI enablement and data engineering.
Location: London / Nottingham
Employment Type: Full-time
Key Responsibilities:
- Define and implement AWS reference architecture covering services such as AWS Glue, S3, IAM, networking.
- Design and deliver scalable, secure, and cost-optimized data solutions.
- Enable and manage workflow orchestration platforms (e.g., Apache Airflow / MWAA).
- Develop and standardize CI/CD pipelines for both application and AI workflows.
- Establish best practices for Infrastructure-as-Code, Observability (CloudWatch, logging), Security and access management (IAM, KMS, policies).
- Support and enable AI execution environments, including compute, APIs, and integrations.
Required Skills & Experience:
- Strong experience with AWS services: Glue, S3, MWAA, EMR, IAM.
- Expertise in platform engineering and cloud architecture.
- Experience with Airflow orchestration.
- Proficiency in Python.
- Hands-on experience with Infrastructure-as-Code (Terraform/CloudFormation).
- Experience enabling or supporting AI/ML platforms and APIs.
Nice to Have:
- Experience in data modeling and transformation logic.
- Exposure to modern AI platforms (e.g., Claude API).
Cloud Architect employer: UST
Join a forward-thinking company that prioritises innovation and employee development, offering a dynamic work culture in the heart of London/Nottingham. As a Cloud Architect, you will have access to cutting-edge technology and resources, alongside opportunities for professional growth and collaboration with industry experts. Enjoy a supportive environment that values creativity and encourages you to lead impactful projects in cloud architecture and AI enablement.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud architecture projects, especially those involving AWS services. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AWS and cloud architecture. Practice explaining your past projects and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Cloud Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Cloud Architect role. Highlight your experience with AWS services like Glue, S3, and IAM, and don’t forget to mention your expertise in platform engineering and cloud architecture.
Showcase Relevant Projects:Include specific projects where you've designed scalable and secure cloud platforms. If you've worked with AI enablement or data engineering, make that front and centre – we love seeing real-world applications of your skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re passionate about cloud architecture and how your experience aligns with our needs. Be sure to mention your proficiency in Python and any hands-on experience with Infrastructure-as-Code.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at UST
✨Know Your AWS Services Inside Out
Make sure you’re well-versed in the specific AWS services mentioned in the job description, like Glue, S3, and MWAA. Prepare to discuss how you've used these services in past projects, focusing on scalability, security, and cost optimisation.
✨Showcase Your CI/CD Pipeline Experience
Be ready to talk about your experience with CI/CD pipelines, especially in relation to application and AI workflows. Bring examples of how you've developed or standardised these processes, and be prepared to discuss the tools you used, like Terraform or CloudFormation.
✨Demonstrate Your AI/ML Knowledge
Since the role involves supporting AI execution environments, brush up on your knowledge of AI platforms and APIs. Be prepared to explain how you've enabled or supported AI/ML platforms in previous roles, and share any relevant projects that highlight your expertise.
✨Prepare for Technical Questions
Expect technical questions that dive deep into platform engineering and cloud architecture. Practice explaining complex concepts clearly and concisely, as this will demonstrate your communication skills and technical prowess.
