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- Tasks: Design and implement AWS architectures for quantitative research and collaborate with tech teams.
- Company: Join a leading systematic hedge fund focused on innovative cloud solutions.
- Benefits: Enjoy a full-time role with competitive salary and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of finance through cutting-edge technology.
- Qualifications: 8+ years in cloud engineering, strong AWS expertise, and experience with containerization.
- Other info: This is a mid-senior level position based in London.
The predicted salary is between 60000 - 84000 £ per year.
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Our client a leading systematic hedge fund, is looking for a AWS specialised cloud engineer to design and implement custom AWS architectures to enhance the quantitative research and modelling process of the trade desk, and to collaborate with quantitative researchers, developers and data scientists to understand their needs to translate them into scalable, flexible and secure cloud solutions.
The ideal candidate for this role would have at least 8 years of experience as a cloud engineer/ architect with a strong focus on AWS technologies and strong experience with containerization and serverless architecture.
Responsibilities:
- Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk.
- Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions.
- Ensure the optimal performance, availability, and reliability of cloud infrastructure to support high-performance quantitative research and large-scale data analysis.
- Automate infrastructure deployment, management, and monitoring to streamline research operations and enable rapid prototyping.
Qualifications:
8+ years experience as a Cloud Architect or Engineer with a strong focus on AWS technologies.
- In-depth knowledge of AWS services, including EKS, EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch and others.
- Experience in designing highly available, resilient, and secure cloud solutions for research or finance environments.
- Strong understanding of cloud security practices, encryption, and governance.
- Familiarity with DevOps principles and automation tools (e.g.: Terraform).
- Experience with containerization (Docker, Kubernetes, etc.) and serverless architecture.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Cloud Architect - Selby Jennings employer: Jobs via eFinancialCareers
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StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Architect - Selby Jennings
✨Tip Number 1
Make sure to showcase your AWS expertise in conversations. When networking or during interviews, highlight specific projects where you've designed and implemented AWS architectures. This will demonstrate your hands-on experience and understanding of the platform.
✨Tip Number 2
Familiarise yourself with the latest trends in cloud security practices and governance. Being able to discuss these topics confidently can set you apart from other candidates, especially since the role requires a strong understanding of secure cloud solutions.
✨Tip Number 3
Engage with the community by joining forums or attending meetups focused on AWS and cloud architecture. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the Cloud Architect position.
✨Tip Number 4
Prepare to discuss your experience with automation tools like Terraform and containerisation technologies such as Docker and Kubernetes. Being able to articulate how you've used these tools in past projects will show that you're well-versed in modern cloud practices.
We think you need these skills to ace Cloud Architect - Selby Jennings
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of experience as a Cloud Architect or Engineer, focusing on AWS technologies. Include specific projects where you've designed and implemented AWS architectures, especially in finance or research environments.
Craft a Strong Cover Letter: In your cover letter, emphasise your collaboration with quantitative researchers, developers, and data scientists. Mention how you can translate their needs into scalable and secure cloud solutions, showcasing your understanding of their work.
Highlight Relevant Skills: Clearly list your in-depth knowledge of AWS services such as EKS, EC2, S3, and Lambda. Also, mention your experience with containerization (Docker, Kubernetes) and automation tools like Terraform to demonstrate your technical expertise.
Showcase Problem-Solving Abilities: Provide examples in your application that illustrate how you've ensured optimal performance, availability, and reliability of cloud infrastructure. This could include specific challenges you've faced and how you automated deployment and management processes.
How to prepare for a job interview at Jobs via eFinancialCareers
✨Showcase Your AWS Expertise
Make sure to highlight your in-depth knowledge of AWS services during the interview. Be prepared to discuss specific projects where you've implemented solutions using EKS, EC2, S3, and other relevant services.
✨Demonstrate Collaboration Skills
Since the role involves working closely with quantitative researchers and data scientists, share examples of how you've successfully collaborated with cross-functional teams in the past. This will show your ability to understand and translate their needs into effective cloud solutions.
✨Discuss Security Practices
Given the importance of cloud security in this role, be ready to talk about your experience with cloud security practices, encryption, and governance. Providing concrete examples of how you've ensured secure cloud architectures will impress your interviewers.
✨Emphasise Automation and DevOps Knowledge
Highlight your familiarity with automation tools like Terraform and your understanding of DevOps principles. Discuss any experiences you have with automating infrastructure deployment and management, as this is crucial for streamlining operations in a high-performance environment.
