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- Tasks: Collaborate with teams to deploy microservices and enhance data solutions.
- Company: Dynamic fintech company in the UK with a focus on innovation.
- Benefits: Generous benefits including equity, enhanced annual leave, and professional growth.
- Why this job: Join a team driving impactful solutions in a fast-paced environment.
- Qualifications: Proficiency in Python, Docker, Kubernetes, and a passion for tech.
- Other info: Exciting opportunities for career advancement in a collaborative culture.
The predicted salary is between 43200 - 72000 £ per year.
A dynamic fintech company in the UK is seeking a Senior Python Engineer to collaborate with product teams and ensure effective adoption of tools for scalable and reliable data solutions. This role involves deploying microservices, enhancing internal tooling, and bridging gaps between teams.
Candidates should demonstrate proficiency in Python, experience with Docker and Kubernetes, and a passion for driving impactful solutions.
The position offers generous benefits, including equity and annual leave enhancements.
Senior Python Engineer: Platform & ML Ops in London employer: cleo
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer: Platform & ML Ops in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for a Senior Python Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving microservices or ML Ops. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Docker and Kubernetes knowledge. Practice coding challenges and system design questions that are relevant to the role. We want you to feel confident and ready to impress!
✨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 with us directly.
We think you need these skills to ace Senior Python Engineer: Platform & ML Ops in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your proficiency in Python right from the start. We want to see how you've used it in real-world projects, especially in deploying microservices or enhancing internal tooling.
Talk About Team Collaboration: Since this role involves working closely with product teams, share examples of how you've successfully collaborated in the past. We love seeing candidates who can bridge gaps and drive impactful solutions together!
Mention Your Experience with Docker and Kubernetes: If you've got experience with Docker and Kubernetes, don’t hold back! We’re keen to know how you’ve used these tools to create scalable and reliable data solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at cleo
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in a fintech context. They’ll want to see your depth of knowledge and practical experience.
✨Familiarise Yourself with Docker and Kubernetes
Since this role involves deploying microservices, it’s crucial to have a solid understanding of Docker and Kubernetes. Prepare to talk about how you've used these tools in previous roles, and maybe even share some challenges you faced and how you overcame them.
✨Show Your Collaborative Spirit
This position requires working closely with product teams, so be ready to demonstrate your teamwork skills. Think of examples where you’ve successfully collaborated across different teams or departments to drive impactful solutions. Highlight your communication style and how you bridge gaps between technical and non-technical stakeholders.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company’s tech stack, their approach to ML Ops, and how they measure success in this role. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
