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- Tasks: Design and develop advanced applications using Java and Python in a cloud environment.
- Company: Leading tech firm in London with a focus on innovation.
- Benefits: Competitive day rate, hands-on experience, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on cutting-edge AI and cloud technologies.
- Qualifications: Proficient in Java/Python with cloud experience, especially AWS.
- Other info: 5 days in the office, perfect for building strong team connections.
The predicted salary is between 48000 - 72000 £ per year.
Location: London (5 days in office)
Duration: 12 months
Competitive Day Rate (Inside IR35)
Key Skills
- Proficient in Java / Python concepts and proficient advanced experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability, particularly in cloud environments.
- Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS.
- Practical cloud-native experience, specifically with AWS.
- Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models.
Senior Java/ Python Engineer employer: Deloitte - Recruitment
Contact Detail:
Deloitte - Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Java/ Python Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Java or Python. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud systems and AI. 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 your technical knowledge. Be ready to discuss your hands-on experience with AWS and any relevant projects. We want to see your passion for coding and problem-solving!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Java/ Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Java and Python skills, as well as your experience with cloud environments. We want to see how your background aligns with the role, 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 passionate about this role and how your experience with AI and machine learning can benefit us at StudySmarter. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects involving AWS or RAG-based semantic search, make sure to mention them! We love seeing practical examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Deloitte - Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Java and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in cloud environments. They’ll want to see your hands-on experience, so be prepared to dive deep into system design and application development.
✨Showcase Your Cloud Expertise
Since the role requires advanced knowledge of AWS, make sure you can talk about your practical experience with cloud-based systems. Prepare examples of how you've implemented solutions using AWS, particularly in relation to artificial intelligence and machine learning. This will show that you’re not just familiar with the concepts but have actually applied them.
✨Familiarise Yourself with RAG and LLM Workflows
Given the focus on RAG-based semantic search and LLM inference workflows, it’s crucial to understand these concepts thoroughly. Be ready to explain how you’ve worked with OpenAI and Claude models in the past, and think of any challenges you faced and how you overcame them.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company’s tech stack, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
