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- Tasks: Build scalable data pipelines and support ML workflows for our AI-driven platform.
- Company: Join Monaco, the first revenue engine for startups, revolutionising CRM solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: High-ownership role in a dynamic environment with exciting challenges.
- Why this job: Make a real impact by shaping the future of AI and data systems.
- Qualifications: 3+ years in data platforms or backend systems with strong coding skills.
The predicted salary is between 60000 - 80000 £ per year.
Monaco is the first revenue engine for startups. We're building the AI native platform that replaces legacy CRM and disparate sales point solutions. We're looking for a Senior Platform Engineer to help build Monaco's data and ML platform - the pipelines, context systems, and infrastructure that power our AI-driven product. You'll work on the foundation that makes models, agents, and workflows actually useful in production. This is a high-ownership role at the intersection of data engineering, distributed systems, and applied AI.
What you’ll do:
- Build scalable pipelines and event-driven systems for ingesting, transforming, and serving data
- Support ML workflows: training data, evaluation, embeddings, feature pipelines
- Solve distributed systems challenges around reliability, latency, and scale
- Improve observability, tooling, and developer experience for ML + data systems
What we’re looking for:
- 3+ years building data platforms, ML infrastructure, or backend systems
- Strong fundamentals in distributed systems and streaming architectures
- Experience with modern data stack tools (queues, warehouses, orchestration, etc.)
- Comfortable coding in Go, Python, or similar
Senior Platform Engineer in Cheltenham employer: Venture Post
Contact Detail:
Venture Post Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Platform Engineer in Cheltenham
✨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 or GitHub repository showcasing your projects related to data platforms and ML infrastructure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on distributed systems and streaming architectures. Practice coding challenges in Go or Python, and be ready to discuss your past experiences with scalable pipelines and event-driven systems.
✨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 Senior Platform Engineer in Cheltenham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data platforms and distributed systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about building AI-driven products and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone with strong coding skills in Go or Python, make sure to mention any relevant projects or experiences. If you’ve tackled challenges in ML infrastructure, let us know!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Venture Post
✨Know Your Tech Stack
Make sure you’re familiar with the modern data stack tools mentioned in the job description. Brush up on your knowledge of queues, warehouses, and orchestration tools. Being able to discuss your experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in distributed systems and how you overcame them. Think of examples where you improved reliability or reduced latency. This will demonstrate your hands-on experience and ability to tackle real-world problems.
✨Demonstrate Your Coding Skills
Since coding in Go, Python, or similar languages is crucial for this role, be ready to showcase your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. This will help you feel more confident during the technical part of the interview.
✨Understand the AI Context
Familiarise yourself with how AI-driven products work, especially in relation to data pipelines and ML workflows. Be prepared to discuss how you can contribute to building scalable pipelines and improving developer experience for ML and data systems. This shows your alignment with Monaco's mission.