At a Glance
- Tasks: Design and deliver innovative tech products in data, cloud, and AI/ML.
- Company: Join JPMorgan Chase & Co., a leader in financial technology.
- Benefits: Attractive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make an impact in the fast-paced world of finance and technology.
- Qualifications: Proficient in Python with experience in system design and coding.
The predicted salary is between 80000 - 100000 £ per year.
JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer to design and deliver technology products within the Commercial & Investment Bank's Markets Research Technology team. This role demands hands-on engineering experience with a focus on Cloud-native data engineering, backend engineering, and AI/ML model industrialization.
The ideal candidate will have proficiency in Python and experience in system design, coding in a corporate environment.
Responsibilities include executing and designing software solutions and producing architecture artifacts as required.
Senior Lead Python Engineer - Data, Cloud & AI/ML in Glasgow employer: Jpmorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a strong commitment to employee growth, the company offers extensive training and development opportunities, particularly in cutting-edge areas like Cloud and AI/ML. Located in a vibrant financial hub, employees benefit from a stimulating environment that encourages meaningful contributions to technology solutions in the banking sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Python Engineer - Data, Cloud & AI/ML in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Lead Python Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data engineering and AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and coding challenges. We recommend practicing with platforms that focus on real-world problems, so you’re ready to impress when it comes to executing software solutions.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Lead Python Engineer - Data, Cloud & AI/ML in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and any relevant projects in data engineering or AI/ML. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for technology and how your background in backend engineering can contribute to our team at JPMorgan Chase & Co.
Showcase Your Projects:If you've worked on any cloud-native applications or AI/ML models, make sure to include them in your application. We love seeing real-world examples of your work, so don’t hold back!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including specific projects where you've used it for data engineering or AI/ML. Practising coding challenges can also help you demonstrate your proficiency.
✨Understand Cloud-Native Concepts
Since this role focuses on cloud-native data engineering, it's crucial to familiarise yourself with cloud platforms like AWS, Azure, or Google Cloud. Be prepared to talk about how you've implemented solutions in a cloud environment and any relevant architecture decisions you've made.
✨Showcase Your System Design Skills
Be ready to discuss system design principles and how you've applied them in previous roles. You might be asked to design a system on the spot, so think through scalability, reliability, and maintainability. Having a few examples from your past work can really help illustrate your thought process.
✨Prepare for Behavioural Questions
Don't forget that technical skills are just part of the equation. Prepare for behavioural questions that assess your teamwork, problem-solving, and leadership abilities. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions in team settings.
