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- Tasks: Build and maintain dynamic applications using Java and Spring technologies.
- Company: Join a forward-thinking tech company that values innovation and teamwork.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for growth.
- Other info: Collaborative environment with a focus on professional development and cutting-edge tools.
- Why this job: Be at the forefront of technology and contribute to exciting projects.
- Qualifications: Strong Java skills, cloud experience (AWS preferred), and data analysis abilities.
The predicted salary is between 50000 - 65000 £ per year.
Required skills/experience:
- Strong full stack engineering background with deep expertise in Java and Spring/Spring Boot.
- Hands-on experience with cloud technologies (preference for AWS).
- Experience using AI-assisted developer tools to improve engineering productivity (preference for agentic AI exposure).
- Solid data analysis skills and comfort working with data-driven applications.
Java full stack developer employer: Ascendion
Contact Detail:
Ascendion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Java full stack developer
✨Tip Number 1
Network like a pro! Reach out to fellow developers, attend meetups, and connect with people in the industry. You never know who might have the inside scoop on a job opening that’s perfect for us.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Java and Spring projects. Include any cloud tech experience, especially with AWS, and highlight how you've used AI tools to boost productivity. This will make us stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on common full stack developer questions, especially around Java and data analysis. Practising coding challenges can also help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented developers like us. Plus, it’s a great way to ensure our application gets seen by the right people.
We think you need these skills to ace Java full stack developer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong full stack engineering background, especially your expertise in Java and Spring/Spring Boot. We want to see how your skills align with what we're looking for!
Cloud Experience is Key: If you've got hands-on experience with cloud technologies, particularly AWS, don't hold back! Share specific projects or tasks where you utilised these skills to give us a clear picture of your capabilities.
AI Tools Matter: Let us know if you've used AI-assisted developer tools to boost your productivity. We’re keen on seeing how you’ve integrated these tools into your workflow, so share those experiences!
Data-Driven Mindset: Since we value solid data analysis skills, make sure to mention any relevant experience you have with data-driven applications. Show us how comfortable you are working with data and how it has influenced your development process.
How to prepare for a job interview at Ascendion
✨Know Your Java Inside Out
Make sure you brush up on your Java and Spring/Spring Boot knowledge. Be ready to discuss your past projects, the challenges you faced, and how you overcame them. Practising coding problems related to full stack development can also give you a solid edge.
✨Cloud Savvy is Key
Since cloud technologies are a big deal, especially AWS, ensure you’re familiar with its services and how they integrate with Java applications. You might be asked about specific use cases or scenarios, so having some examples ready will show you know your stuff.
✨AI Tools Are Your Friends
If you've used AI-assisted developer tools, be prepared to share your experiences. Talk about how these tools have improved your productivity and any specific features that you found particularly useful. This shows you’re not just keeping up with trends but actively leveraging them.
✨Data-Driven Mindset
With data analysis being crucial, think of instances where you’ve worked with data-driven applications. Be ready to discuss how you approached data challenges and what tools or methods you used to analyse and interpret data effectively.