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- Tasks: Build and optimise MasonOS, enhancing industrial manufacturing with AI and cloud technology.
- Company: Leading industrial tech firm at the forefront of innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a unique role blending AI and physical production for real-world impact.
- Qualifications: Proficient in TypeScript, React, DevOps, and cloud infrastructure.
- Other info: Dynamic team environment with exciting challenges and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading industrial technology firm is looking for a Software Engineer to build and optimize MasonOS, a cloud-first system enhancing industrial manufacturing. The role involves architecting backend services, deploying software on the factory floor, and integrating machine learning solutions.
The ideal candidate will possess exceptional coding skills in TypeScript and React, along with strong experience in DevOps and cloud infrastructure. This position offers a unique opportunity to contribute at the intersection of AI and physical production.
MasonOS Software Engineer - CNC & AI on the Factory Floor employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MasonOS Software Engineer - CNC & AI on the Factory Floor
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 projects, especially those involving TypeScript, React, and any machine learning applications. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding cloud infrastructure. Practice common coding challenges and be ready to discuss your past experiences with DevOps.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace MasonOS Software Engineer - CNC & AI on the Factory Floor
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills in TypeScript and React. We want to see how you can bring your expertise to the table, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for the MasonOS Software Engineer role. Mention your experience with DevOps and cloud infrastructure, and how it relates to enhancing industrial manufacturing.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for AI and software engineering shines through without unnecessary fluff.
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 this exciting opportunity at the intersection of AI and physical production!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript and React, as these are crucial for the role. Brush up on your coding skills and be ready to discuss your past projects that utilised these technologies.
✨Understand MasonOS Inside Out
Familiarise yourself with MasonOS and its functionalities. Research how it enhances industrial manufacturing and think about how your skills can contribute to its development and optimisation.
✨DevOps and Cloud Infrastructure Savvy
Since the role involves deploying software on the factory floor, be prepared to talk about your experience with DevOps practices and cloud infrastructure. Have examples ready that showcase your ability to manage and optimise these systems.
✨AI Integration Insights
Given the focus on integrating machine learning solutions, think about how AI can improve manufacturing processes. Be ready to share your thoughts on potential applications and any relevant experience you have in this area.
