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- Tasks: Develop user-facing features and automate workflows in a fast-paced environment.
- Company: Tech-driven company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact on cutting-edge AI data solutions.
- Qualifications: 6+ years of engineering experience with NodeJS and TypeScript expertise.
- Other info: Autonomy and adaptability are key in this exciting startup culture.
The predicted salary is between 48000 - 72000 £ per year.
A tech-driven company in Greater London is looking for an experienced product engineer with a strong backend focus. The successful applicant will work closely with product and engineering teams to develop user-facing features, ensure performance, and automate workflows.
A minimum of 6 years of engineering experience with strong knowledge in NodeJS and TypeScript is essential. The role requires autonomy and adaptability in a fast-paced startup environment, as well as collaboration to scale operations effectively.
Senior Product Engineer - AI Data Platform for Scale in London employer: Kernel
Contact Detail:
Kernel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Engineer - AI Data Platform for Scale in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in product engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NodeJS and TypeScript. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to backend development. We recommend practicing coding challenges and discussing your past experiences with product teams to demonstrate your adaptability.
✨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 are proactive and engaged with our company.
We think you need these skills to ace Senior Product Engineer - AI Data Platform for Scale in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 6+ years of engineering experience, especially with NodeJS and TypeScript. We want to see how your background aligns with the role, so don’t hold back on those relevant projects!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills can help us develop user-facing features and automate workflows. A personal touch goes a long way!
Demonstrate Your Autonomy: Since we’re a fast-paced startup, it’s crucial to show that you can work independently. Share examples of how you've taken initiative in past roles and adapted to changing environments.
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 Kernel
✨Know Your Tech Inside Out
Make sure you brush up on your NodeJS and TypeScript skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since the role involves working closely with product and engineering teams, prepare examples that highlight your ability to collaborate effectively. Think of times when you contributed to a team project or helped resolve conflicts within a team.
✨Demonstrate Your Problem-Solving Abilities
Be prepared to tackle some technical problems during the interview. Practice coding challenges or system design questions that might come up, and explain your thought process clearly as you work through them.
✨Emphasise Adaptability and Autonomy
In a fast-paced startup environment, adaptability is key. Share experiences where you had to quickly adjust to changes or take initiative in your previous roles. This will show that you're ready to thrive in their dynamic setting.