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For Companies At a Glance
- Tasks: Design and build innovative full-stack applications for cutting-edge energy tech.
- Company: Join an award-winning startup revolutionising the seismic industry with advanced technology.
- Benefits: Flexible hybrid/remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by bridging complex ML backends with user-friendly interfaces.
- Qualifications: Degree in Computer Science or related field, plus 3+ years of relevant experience.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
About S-Cube
S-Cube is an award-winning energy tech startup revolutionising the seismic industry. We are at the intersection of deep physics and cutting-edge Machine Learning. Our flagship technology, XWI, allows major global energy companies to "see" underground with unprecedented clarity.
Role Description/Responsibilities
As a Full Stack Engineer, you will architect and evolve the central nervous system of our operations: a sophisticated internal platform used by Geophysicists and Algorithm Developers to manage massive computational workloads running from both in-house and external users.
You will bridge the gap between complex ML backends and intuitive user interfaces, creating tools that directly accelerate our R&D and optimise the QC process of our advanced algorithms.
Key Responsibilities
- Architect Scientific Platforms: Design and build scalable full-stack applications using Django and Angular. You will play a major role at the development lifecycle of our core dashboard, the central hub of our imaging workflows.
- Optimize ML Workflows: Develop robust systems to query, parameterize, and track ML workloads. You will build utilities that allow our scientists to compare high-compute jobs, identify trends, and streamline the process.
- User-Centric Feature Development: Collaborate directly with our internal users (PhDs, Geophysicists, and Algo Developers) to translate complex scientific requirements into seamless UI/UX features.
- Performance & Reliability: Proactively identify bottlenecks in our dashboard and database queries. You will ensure the system remains performant as our data scale grows.
The Tech Stack
We believe in using the right tool for the job. Our core environment includes:
- Backend: Python, Django, RESTful APIs, SQL (PostgreSQL/MySQL).
- Frontend: TypeScript, Angular, HTML5/SCSS.
- Cloud & Ops: AWS (EC2, S3, Lambda), Docker.
- Data/ML Context: Interaction with ML pipelines and high-performance computing tasks.
- Misc: LangChain, RAGFlow.
Requirements/Qualifications
- Bachelor's (BSc) or Master's (MSc/MEng) degree in Computer Science, Physics, Mathematics, or a related field.
- 3+ years of industry experience.
- Proficiency in Python and Angular is essential.
- Demonstrated expertise in both frontend and backend development, utilising frameworks like Django, Angular, Rest, etc.
- Strong command of SQL or equivalent database technologies.
- Experience with ML workflows and agentic systems.
- Bonus: experience working with cloud services and implementing/managing CI/CD pipelines.
Full Stack Developer (Hybrid/Remote) employer: S-Cube
Contact Detail:
S-Cube Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Developer (Hybrid/Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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 Django and Angular. This gives you a chance to demonstrate your expertise and makes you stand out when chatting with hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding ML workflows. Practice common interview questions and be ready to discuss how you've tackled challenges in your previous roles.
✨Tip Number 4
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 at S-Cube.
We think you need these skills to ace Full Stack Developer (Hybrid/Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match our Full Stack Developer role. Highlight your proficiency in Python, Django, and Angular, and don’t forget to mention any experience with ML workflows!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working at S-Cube and how your background makes you a perfect fit for our team. Be genuine and let your passion for energy tech come through.
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing real examples of your work, especially if they involve full-stack applications or ML workflows!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team!
How to prepare for a job interview at S-Cube
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Django, and Angular. Brush up on your SQL skills too, as you'll likely be asked about database management and optimisation during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous projects, particularly those involving ML workflows or full-stack development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled complex problems.
✨Understand User-Centric Design
Since the role involves collaborating with scientists and developers, demonstrate your understanding of user-centric design principles. Bring examples of how you've translated complex requirements into intuitive UI/UX features in past projects.
✨Ask Insightful Questions
Prepare thoughtful questions about S-Cube's projects, culture, and future goals. This shows your genuine interest in the company and helps you assess if it’s the right fit for you. Consider asking about their approach to optimising ML workflows or how they handle performance issues.
