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- Tasks: Design and manage AWS infrastructure for cutting-edge fraud detection solutions.
- Company: Join a dynamic start-up revolutionising digital fraud detection with innovative technology.
- Benefits: Enjoy fully remote work and the chance to shape the future of AI-driven solutions.
- Why this job: Be part of a fast-paced environment where your skills directly impact digital security.
- Qualifications: Experience with AWS services and serverless architectures is essential; certifications are a bonus.
- Other info: Must be based in the UK; no sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
MUST BE BASED IN THE UK AND HAVE RIGHT TO WORK - NO SPONSORSHIP AVAILABLE
We are looking for a skilled and proactive AWS Engineer to join a dynamic start-up focused on revolutionising the way digital fraud is detected. This role will be fully remote, and the ideal candidate will have a strong background in AWS cloud services, particularly with serverless architecture, and the ability to optimise infrastructure to support advanced AI-driven fraud detection solutions.
Key Responsibilities:
- Design, deploy, and manage AWS-based infrastructure using services such as SageMaker, Lambda, EventBridge, ECS, and CDK.
- Implement serverless architectures and automation solutions to optimise the detection of fraud in digital files.
- Ensure the scalability, reliability, and performance of the AWS infrastructure, supporting real-time analysis of images, PDFs, and metadata.
- Work closely with development and product teams to integrate cloud services into the company’s AI platform.
- Manage cloud security and ensure compliance with industry standards, ensuring the highest levels of data protection and privacy.
- Optimise costs by leveraging AWS best practices for cost efficiency and resource allocation.
- Provide ongoing technical support and guidance to internal teams, assisting with troubleshooting and continuous improvement.
Requirements:
- Proven experience working with AWS services, especially SageMaker, Lambda, EventBridge, ECS, and CDK.
- Strong understanding of serverless architectures and cloud automation.
- Hands-on experience with infrastructure as code (e.g., AWS CloudFormation, Terraform).
- Solid knowledge of cloud security, performance tuning, and cost optimisation best practices.
- Familiarity with AI-driven applications or fraud detection solutions is a plus.
- Ability to work independently, solve problems proactively, and deliver results in a fast-paced environment.
- Excellent communication skills, with the ability to collaborate across teams and explain complex technical concepts clearly.
Desirable Skills:
- AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) would be a plus.
- Experience with CI/CD pipelines and automation tools.
- Knowledge of containerisation technologies such as Docker and Kubernetes.
AWS Engineer (, , United Kingdom) employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Engineer (, , United Kingdom)
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as SageMaker and Lambda. Consider building a small project or demo that showcases your skills in these areas, as practical experience can set you apart during discussions.
✨Tip Number 2
Network with professionals in the AWS community, especially those who work in fraud detection or AI-driven applications. Engaging in relevant forums or attending meetups can provide insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss your experience with serverless architectures and automation solutions in detail. Be ready to share examples of how you've optimised infrastructure in previous roles, as this will demonstrate your ability to contribute effectively from day one.
✨Tip Number 4
Research StudySmarter and our mission to revolutionise digital fraud detection. Understanding our goals and values will help you align your responses during interviews, showing that you're not just a fit for the role but also for our company culture.
We think you need these skills to ace AWS Engineer (, , United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services, particularly SageMaker, Lambda, EventBridge, ECS, and CDK. Use specific examples to demonstrate your skills in serverless architecture and cloud automation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention your understanding of digital fraud detection and how your background aligns with their mission. Be sure to include any relevant AWS certifications or experience with AI-driven applications.
Showcase Problem-Solving Skills: In your application, provide examples of how you've proactively solved problems in previous roles, especially in fast-paced environments. Highlight your ability to optimise infrastructure and ensure cloud security.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Intellect Group
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services, especially SageMaker, Lambda, EventBridge, ECS, and CDK. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Problem-Solving Skills
Since the role requires proactive problem-solving, think of examples where you've tackled challenges in cloud infrastructure or automation. Share how you approached these issues and the outcomes.
✨Communicate Clearly
Excellent communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with various teams and ensure everyone is on the same page.
✨Prepare for Technical Questions
Expect technical questions related to serverless architectures, cloud security, and cost optimisation. Brush up on best practices and be ready to discuss how you've applied them in your previous roles.
