Seeking a Senior Full Stack Developer for a London-based EdTech startup focused on personalized English learning. Responsibilities include designing and building high-scale systems, CI/CD pipelines, and real-time recommendation engines. Requires strong Python, SQL/NoSQL, and AWS architecture experience.
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Senior Full Stack Developer | London | Up to £120k
I'm working with a London based EdTech startup that's genuinely trying to solve one of the hardest problems in education: making high quality, personalised learning accessible to everyone. Their ML powered mobile app teaches English to intermediate and advanced learners, and they're at that exciting stage where the tech is finally catching up to the ambition.
Founded by two serial entrepreneurs with 10+ years of mobile app experience each, this is a small, science driven team building something with real scale potential, not just another EdTech app.
What you'll be doing:
- Designing and building a new high scale system for millions of users
- Building CI/CD pipelines that support fast, iterative development
- Working alongside the ML team on data pipelines and model deployment
- Building real time recommendation systems from large, messy datasets (text, video, image, audio)
- Working cross functionally with mobile devs, PMs, and designers, not siloed
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What they're looking for:
- Strong Python experience (Django, Flask, or FastAPI)
- Solid grasp of SQL and NoSQL, including real time/in memory databases
- AWS architecture experience, planning and estimation, not just usage
- Comfortable with Docker and Terraform
- A genuine feel for SOLID/KISS principles
- Exposure to different programming paradigms (compiled, interpreted, GC'd, manual memory management), even outside production is fine
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The setup:
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- £100k to £120k
- 4 days per week in their London office
- Unlimited learning & development budget
- Relocation assistance available if you need to move to London
- A crew that's serious about the product but doesn't take itself too seriously
If you're a senior full stack engineer who wants to build something at scale, work closely with an ML team, and actually shape the architecture rather than inherit someone else's, get in touch.
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