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- Tasks: Build cloud-based microservices and enhance an innovative SaaS platform.
- Company: Exciting tech disrupter based in vibrant Bristol.
- Benefits: Competitive pay, potential for permanent role, and collaborative office culture.
- Why this job: Join a dynamic team and work on cutting-edge AI-driven projects.
- Qualifications: Experience with Python, Django, AWS, and microservices required.
- Other info: Opportunity for career growth in a scale-up environment.
The predicted salary is between 48000 - 72000 £ per year.
Peaple Talent have partnered with a phenomenal tech disrupter based in Bristol who are looking to grow their team with an experienced contract Python Developer to support in the next iteration of their SaaS platform. You will have a proven background building cloud based microservices with the following technologies:
- Python - Django
- AWS
- RestAPIs
- SQL/NoSQL DB Design
- MLOps
This is an AI driven product where you will be working alongside a Machine Learning Engineer to add scalable and resilient features, at pace, working to critical delivery deadlines. We are ideally looking for someone to start immediately delivering greenfield development of this innovating SaaS solution.
This is a scale-up business with an in-office culture, you would be expected to join the team in central Bristol offices 3 / 4 days a week. Initially a 3 month contract, this is likely to extend and could also convert into a permanent role if so desired. Please apply for more information.
Senior Python Engineer employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or in SaaS. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving cloud-based microservices and MLOps. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, especially those using Django and AWS.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our community.
We think you need these skills to ace Senior Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Django, and cloud-based microservices. We want to see how your skills align 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 excited about this role and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Since we’re looking for someone with specific tech skills, make sure to mention your experience with AWS, REST APIs, and database design. We love seeing real examples of your work, so feel free to include links to your projects or GitHub!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Peaple Talent
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Django, AWS, and both SQL and NoSQL database design. Brush up on your knowledge of REST APIs and MLOps too, as these are crucial for the role. Being able to discuss your past experiences with these technologies will show that you’re the right fit.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, especially those involving cloud-based microservices. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how you tackled issues and delivered results under pressure.
✨Understand the Company Culture
Since this is a scale-up business with an in-office culture, do some research on their values and work environment. Be ready to explain why you thrive in such settings and how you can contribute to the team dynamic, especially in a collaborative environment with Machine Learning Engineers.
✨Prepare Questions
Have a few insightful questions ready to ask at the end of the interview. This could be about their current projects, the team structure, or how they measure success in this role. It shows your genuine interest in the position and helps you assess if it’s the right fit for you.
