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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, flexible hours, and opportunities for professional growth.
- Why this job: Be part of a mission-driven team using AI to make a real impact in digital security.
- Qualifications: Experience with AWS services and serverless architectures is essential; certifications are a bonus.
- Other info: Must be based in the UK and have the right to work; no sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
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 employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as SageMaker and Lambda. Having hands-on experience or projects that showcase your skills with these services can set you apart from other candidates.
✨Tip Number 2
Join online communities or forums related to AWS and cloud engineering. Engaging with professionals in these spaces can provide insights into industry trends and may even lead to networking opportunities that could help you land the job.
✨Tip Number 3
Consider creating a portfolio of your work that highlights your experience with serverless architectures and automation solutions. This can be a great way to demonstrate your practical skills and problem-solving abilities to potential employers.
✨Tip Number 4
Prepare for technical interviews by practising common AWS-related questions and scenarios. Being able to articulate your thought process and solutions clearly will show your expertise and confidence in the subject matter.
We think you need these skills to ace AWS Engineer
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: In your cover letter, express your enthusiasm for the role and the company’s mission to revolutionise digital fraud detection. Mention how your background aligns with their needs, especially in optimising AWS infrastructure and ensuring cloud security.
Showcase Relevant Projects: If you have worked on projects involving AI-driven applications or fraud detection solutions, be sure to include these in your application. Describe your role and the impact of your contributions on the project's success.
Highlight Soft Skills: Since the role requires collaboration across teams, emphasise your communication skills and ability to work independently. Provide examples of how you've successfully solved problems in fast-paced environments.
How to prepare for a job interview at Intellect Group
✨Showcase Your AWS Expertise
Be prepared to discuss your hands-on experience with AWS services like SageMaker, Lambda, and EventBridge. Highlight specific projects where you've implemented serverless architectures or optimised cloud infrastructure.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your ability to troubleshoot and solve problems independently. Share examples of challenges you've faced in previous roles and how you overcame them, particularly in a fast-paced environment.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex technical concepts in simple terms. This will show your potential employer that you can effectively communicate with both technical and non-technical team members.
✨Familiarise Yourself with AI and Fraud Detection
If you have experience with AI-driven applications or fraud detection solutions, be ready to discuss it. Even if you don't, researching these areas can help you understand the company's focus and demonstrate your interest in their mission.
