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- Tasks: Develop and operate data infrastructure for AI-driven products in a hybrid role.
- Company: Leading technology company based in Newcastle upon Tyne.
- Benefits: Flexible working patterns and ongoing professional development opportunities.
- Why this job: Join a dynamic team and enhance observability in cutting-edge AI solutions.
- Qualifications: Strong programming skills and familiarity with cloud systems required.
- Other info: Exciting opportunity to work on scalable system solutions.
The predicted salary is between 30000 - 50000 £ per year.
A leading technology company is looking for a Software Engineer in Newcastle upon Tyne. This hybrid role involves developing and operating data infrastructure for AI-driven products.
Responsibilities include:
- Enhancing observability
- Contributing to the software codebase
- Developing scalable system solutions
Ideal candidates should have strong programming skills and be familiar with cloud systems. Competitive benefits include flexible working patterns and ongoing professional development.
AWS Software Engineer: Cloud, Observability & AI in Newcastle upon Tyne employer: Sage
Contact Detail:
Sage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Software Engineer: Cloud, Observability & AI in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or local meetups. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to cloud systems and AI. This gives us a chance to demonstrate our expertise beyond the CV.
✨Tip Number 3
Prepare for the interview by brushing up on relevant technologies and coding challenges. We should practice common questions and scenarios that relate to observability and scalable systems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how we fit the role perfectly.
We think you need these skills to ace AWS Software Engineer: Cloud, Observability & AI in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills and experience with cloud systems. We want to see how your background aligns with the role of AWS Software Engineer, so don’t be shy about showcasing relevant projects!
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 you can contribute to our AI-driven products. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Your Problem-Solving Skills: In your application, highlight examples where you've enhanced observability or contributed to scalable system solutions. We’re looking for candidates who can think critically and tackle challenges head-on, so share those experiences!
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’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Sage
✨Know Your Cloud Systems
Make sure you brush up on your knowledge of cloud systems, especially AWS. Be ready to discuss your experience with cloud infrastructure and how you've used it in previous projects. This will show that you're not just familiar with the technology but can also apply it effectively.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming skills during the interview. Bring examples of your code or projects that highlight your abilities. If you can, practice coding challenges related to the role, as this will help you feel more confident when discussing your technical expertise.
✨Understand Observability
Since the role involves enhancing observability, make sure you understand key concepts and tools related to monitoring and logging. Be prepared to discuss how you've implemented observability in past projects and the impact it had on system performance.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about their current projects, team dynamics, or how they approach professional development. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
