At a Glance
- Tasks: Deploy and support cloud infrastructure for AI solutions and build CI/CD pipelines.
- Company: Leading financial services tech company focused on innovation.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: 2-4 years in cloud and DevOps with basic AWS skills.
- Other info: Collaborate with cross-functional teams in a supportive environment.
The predicted salary is between 50000 - 60000 £ per year.
A financial services technology company is seeking a Cloud DevOps Engineer to join their AI Enablement Team. The role involves deploying and supporting cloud infrastructure for AI solutions, building CI/CD pipelines, and monitoring cloud environments.
Ideal candidates will have:
- 2-4 years of experience in cloud and DevOps
- Basic AWS skills
- Familiarity with infrastructure as code
This hybrid position allows flexibility while collaborating with cross-functional teams.
AWS Cloud DevOps Engineer for AI & GenAI employer: Broadridge Financial Solutions
Contact Detail:
Broadridge Financial Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Cloud DevOps Engineer for AI & GenAI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in cloud and DevOps. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AWS and CI/CD pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps scenarios and AWS services. We recommend practising with mock interviews to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AWS Cloud DevOps Engineer for AI & GenAI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud infrastructure and DevOps practices. We want to see how your skills align with the role, so don’t be shy about showcasing your AWS knowledge and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in AI solutions and CI/CD pipelines makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects involving infrastructure as code or cloud environments, make sure to mention them. We love seeing practical examples of your work, so include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Broadridge Financial Solutions
✨Know Your AWS Basics
Make sure you brush up on your AWS fundamentals. Understand key services like EC2, S3, and Lambda, as well as how they relate to AI solutions. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Show Off Your CI/CD Skills
Be prepared to talk about your experience with CI/CD pipelines. Have specific examples ready where you've built or improved these processes. This will demonstrate your hands-on experience and problem-solving skills in a real-world context.
✨Familiarity with Infrastructure as Code
If you've worked with tools like Terraform or CloudFormation, make sure to highlight this during the interview. Discuss how you've used these tools to manage cloud infrastructure efficiently, as this is crucial for the role.
✨Collaboration is Key
Since this position involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you adapt to different team dynamics.