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- Tasks: Build and scale an AI-native data platform, focusing on backend systems.
- Company: Join a VC-backed AI data platform with a dynamic culture.
- Benefits: Competitive salary, equity options, and a fast-paced engineering environment.
- Why this job: Shape the future of AI data management and make a real impact.
- Qualifications: 5+ years in software engineering with expertise in Python and AWS.
- Other info: Collaborative team with excellent growth opportunities and modern tech stack.
The predicted salary is between 80000 - 120000 £ per year.
Salary: £100,000-£120,000 + Equity
Company Description: VC-backed AI data platform
Job Description:
As a Senior Software Engineer, you will build and scale the core experience of an AI-native data pipelining platform. You will implement features across the full stack, with a heavy focus on backend systems, while owning projects end-to-end. This role is critical for shaping the infrastructure that data teams use to manage complex lifecycles.
Location: London, UK
Why this role is remarkable:
- Impactful founding-team environment where you will directly contribute to shaping the product culture and strategy from the ground up.
- Backed by top-tier VCs from San Francisco, New York, and London, providing significant runway and global market reach.
- High-velocity engineering culture that deploys to production multiple times daily using a modern, serverless cloud-native tech stack.
What you will do:
- Design, implement, and maintain scalable backend features using Python and FastAPI while owning the full development lifecycle.
- Build exceptional product experiences by collaborating closely with customers to understand their pain points and data orchestration needs.
- Scale the core declarative framework to ensure robust data observability and pipelining efficiency for enterprise-grade data teams.
The ideal candidate:
- Over 5 years of professional experience building and shipping full-stack products with a mastery of Python and backend system design.
- Proven track record working in AWS cloud environments with a strong understanding of containerization and CI/CD best practices.
- Fast-paced generalist with an opinionated approach to shipping high-quality code and conducting experiments to drive product growth.
Senior Software Engineer (£100,000-£120,000 + Equity) at VC-backed AI data platform in London employer: Jack and Jill AI
Contact Detail:
Jack and Jill AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer (£100,000-£120,000 + Equity) at VC-backed AI data platform in London
✨Tip Number 1
Get to know Jack! He’s your first step in this journey. Have a quick chat with him to share your skills and what you’re looking for. This way, he can match you with the best opportunities tailored just for you.
✨Tip Number 2
Don’t underestimate the power of networking! Reach out to your connections in the tech industry. You never know who might have a lead on a role that’s perfect for you, especially in fast-paced environments like AI data platforms.
✨Tip Number 3
Prepare for your chat with Jill! She’ll be looking for candidates who not only fit the technical requirements but also align with the company culture. Brush up on your Python and backend system design knowledge, and be ready to discuss your past projects.
✨Tip Number 4
Apply through our website! It’s super easy and ensures that your application gets directly into the hands of Jill. Plus, if you don’t land this role, Jack will help you find other fantastic opportunities without any cost.
We think you need these skills to ace Senior Software Engineer (£100,000-£120,000 + Equity) at VC-backed AI data platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer role. Highlight your experience with Python, FastAPI, and any relevant AWS projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and data platforms, and explain why you're excited about this opportunity. Let us know how you can contribute to our high-velocity engineering culture.
Showcase Your Projects: Include links to your GitHub or any projects you've worked on that demonstrate your full-stack capabilities. We love seeing real examples of your work, especially if they involve backend systems and CI/CD practices!
Apply Through Our Website: Don't forget to apply through our website! It's the easiest way for us to connect you with Jack and Jill. Follow the steps, and let’s get the ball rolling on your application!
How to prepare for a job interview at Jack and Jill AI
✨Know Your Tech Stack
Make sure you’re well-versed in Python and FastAPI, as these are crucial for the role. Brush up on your knowledge of AWS cloud environments and containerization, as you’ll likely be asked about your experience with these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you overcame them. This is your chance to demonstrate your ability to build scalable backend features and your approach to data orchestration needs.
✨Understand the Company Culture
Research the company’s values and their engineering culture. Be ready to explain how you can contribute to their high-velocity environment and how your past experiences align with their mission of shaping product culture from the ground up.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or future goals. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
