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- Tasks: Lead projects on AI and Machine Learning in the automotive sector using Python.
- Company: A leading tech firm with a focus on innovation and collaboration.
- Benefits: Remote work, stock options, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the automotive industry.
- Qualifications: Strong Python skills, SaaS experience, and knowledge of CI/CD pipelines.
- Other info: Work remotely with just one day a month in Cambridge.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology firm is seeking a Staff Engineer / Developer (Python GCP SaaS) to work on complex systems. The role involves contributing to an AI and Machine Learning platform in the automotive sector, taking ownership of projects, and providing technical leadership.
Ideal candidates will have:
- a strong Python background
- SaaS experience
- familiarity with CI/CD pipelines
This position is primarily remote with one day a month in Cambridge.
Staff Python Engineer – GCP SaaS (Remote, Stock Options) in Cambridge employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Python Engineer – GCP SaaS (Remote, Stock Options) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Python and GCP. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo or a personal project that highlights your Python prowess and SaaS experience. It’s a great way to demonstrate your technical chops beyond the usual application.
✨Tip Number 3
Prepare for the tech interview! Brush up on your knowledge of CI/CD pipelines and be ready to discuss how you've used them in past projects. We want to see your problem-solving skills in action!
✨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 take that extra step!
We think you need these skills to ace Staff Python Engineer – GCP SaaS (Remote, Stock Options) in Cambridge
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used Python in real-world projects, especially in SaaS environments. Don’t hold back on showcasing any complex systems you've worked on!
Talk About Your Leadership Experience: Since this role involves providing technical leadership, share examples of when you've taken ownership of projects. We love to see candidates who can lead and inspire others, so don’t be shy about your achievements!
Mention Your CI/CD Knowledge: Familiarity with CI/CD pipelines is key for us. Be sure to include any relevant experience you have with these processes in your application. It’ll show us that you’re ready to hit the ground running!
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. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Client Server
✨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, especially in relation to SaaS applications. Prepare to showcase any projects you've worked on that highlight your coding prowess.
✨Familiarise Yourself with GCP and CI/CD
Since this role involves GCP, it’s crucial to understand its services and how they integrate with Python applications. Also, be prepared to talk about your experience with CI/CD pipelines. Have examples ready that demonstrate how you've implemented these processes in past projects.
✨Showcase Your Leadership Skills
As a Staff Engineer, you'll need to take ownership of projects and provide technical leadership. Think of instances where you've led a team or project, and be ready to discuss your approach to problem-solving and mentoring others.
✨Prepare for Technical Questions
Expect some challenging technical questions during the interview. Practice coding problems and system design scenarios that are relevant to AI and Machine Learning platforms. This will help you feel more confident and demonstrate your expertise effectively.
