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- Tasks: Optimise serverless workflows and enhance our data platform with innovative features.
- Company: Join a vibrant tech start-up revolutionising data extraction and analytics.
- Benefits: Competitive salary, fully remote work, and a chance to shape the future of tech.
- Why this job: Make a real impact in a growing company while working with cutting-edge technology.
- Qualifications: 5+ years in software engineering, Azure experience, and strong Python skills.
- Other info: Collaborative culture with high autonomy and excellent career growth opportunities.
The predicted salary is between 43000 - 46000 £ per year.
Forward Deployed Platform Engineer (Azure Serverless) Tech Start-Up – UK based – Remote – Full-time We build a modern data
Forward Deployed Platform Engineer (Azure Serverless) – Tech Start-Up - UK based – Remote employer: Thinking Machine
Contact Detail:
Thinking Machine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Platform Engineer (Azure Serverless) – Tech Start-Up - UK based – Remote
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your Azure serverless projects. 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 practising common technical questions and scenarios related to platform engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Forward Deployed Platform Engineer (Azure Serverless) – Tech Start-Up - UK based – Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Azure serverless experience and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background makes you a perfect fit. Don’t forget to mention your passion for optimising performance and reliability in production systems.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's deploying serverless APIs or enhancing data pipelines, we love seeing real-world examples of your work!
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 can’t wait to hear from you!
How to prepare for a job interview at Thinking Machine
✨Know Your Azure Inside Out
Make sure you brush up on your Azure serverless experience. Be ready to discuss specific projects where you've designed, deployed, or operated production systems. Highlight any challenges you faced and how you overcame them, as this will show your problem-solving skills.
✨Showcase Your Coding Skills
Prepare to demonstrate your Python backend skills and SQL expertise. You might be asked to solve a coding challenge or optimise a query on the spot, so practice common scenarios that could come up in the interview. This is your chance to shine!
✨Understand the Company’s Mission
Familiarise yourself with the company’s platform and its impact on procurement teams. Being able to articulate how your role as a Forward Deployed Platform Engineer contributes to their mission will set you apart. Show genuine interest in their work and how you can add value.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of examples from your past experiences where you worked closely with product and delivery teams. Be ready to discuss how you translated insights into technical outcomes, as this will demonstrate your ability to work effectively in a team.