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- Tasks: Build AI-powered features and develop scalable systems using Python and React.
- Company: Fast-paced software business with a focus on innovation.
- Benefits: Earn £90,000, enjoy remote work, and flexible hours.
- Other info: Collaborate with international teams and grow your career in a vibrant environment.
- Why this job: Join a dynamic team and create impactful AI solutions.
- Qualifications: Experience in Python, React, and AWS; familiarity with CI/CD and Git.
The predicted salary is between 90000 - 90000 £ per year.
The Full Stack Engineer will work for a fast-paced software business. The Full Stack Engineer will earn £90,000 per year plus benefits. The Full Stack Engineer will enjoy remote working (staggered working hours).
The Full Stack Engineer will not just use AI tools but actually build with them. The Full Stack Engineer will integrate cutting‑edge LLM workflows and build AI‑powered product features.
The Full Stack Engineer will develop front end solutions using React, Typescript, NextJS and build scalable back end systems in Python / Django. The Full Stack Engineer will architect and deploy infrastructure on AWS.
The Full Stack Engineer will collaborate closely with international teams to ship rapidly and optimise performance, security and scalability across the stack. The Full Stack Engineer will leverage AI‑assisted development workflows.
The Full Stack Engineer will be familiar with the PostgreSQL database ecosystem and have a good understanding of the AWS ecosystem. The Full Stack Engineer will use version control systems e.g. Git and be comfortable with CI/CD pipelines.
Senior Python Developers and... err, ballet. employer: Mongoose Gray
Contact Detail:
Mongoose Gray Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Developers and... err, ballet.
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI and full stack development. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, React, or AWS. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of LLM workflows. Practice common coding challenges and be ready to discuss how you’ve optimised performance in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented developers who are eager to build innovative solutions. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Python Developers and... err, ballet.
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, Django, and any front-end frameworks like React or NextJS. We want to see how you can integrate cutting-edge AI tools into your work, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects where you've built scalable systems or worked with AWS. This helps us see how you fit into our fast-paced environment.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for your skills and experiences, and make sure we can easily spot your key achievements. We love clarity!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Mongoose Gray
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Django, React, and AWS. Brush up on your knowledge of PostgreSQL and CI/CD pipelines too. Being able to discuss these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your AI Skills
Since the role involves building AI-powered features, be prepared to discuss any relevant projects or experiences you've had with AI tools. Share specific examples of how you've integrated AI into your work, and don’t shy away from discussing the challenges you faced and how you overcame them.
✨Collaboration is Key
This position requires close collaboration with international teams, so highlight your teamwork skills. Prepare examples of how you've successfully worked in diverse teams, especially in fast-paced environments. Emphasise your communication skills and adaptability.
✨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 leverage AI in their products. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.