Fullstack Engineer
Lightning AI4 months ago
London, United Kingdom +3 moreSenior
Base Salary
$120k - $250k/yr
Responsibilities
- Write readable, testable, and efficient code in React and either Python or Go
- Develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems
- Own key features and drive their development end-to-end
- Improve system stability and performance while evaluating, strengthening, and documenting technical architecture
- Implement automation and continuous delivery, reduce time to production, and proactively reduce technical debt
- Partner with engineering and product leaders to set technical direction for large projects
- Mentor and coach engineers on system design, uncertainty, and problem-solving
Requirements
- Proficiency in React and either Go (Golang) or Python, with a preference for Go
- Strong understanding of software engineering principles and the software lifecycle
- Hands-on experience as a Fullstack Engineer in a SaaS technology company
- Proven ability to own key features and drive end-to-end development
- Ability to communicate and collaborate with engineers, product managers, and designers
- Ability to operate effectively in high-uncertainty and rapidly changing environments
Benefits
- Minimum of 2 in-office days per week in NYC, San Francisco, Seattle, or London, with occasional team and company offsites
- Comprehensive medical, dental, and vision coverage in the U.S.; private medical and dental insurance in the U.K.
- Retirement and financial wellness support in the U.S.; pension contribution in the U.K.
- Generous paid time off and holidays
- Paid parental leave
- Professional development support
- Wellness and work-from-home stipends
- Flexible work environment
Categories
About Lightning AI
The AI development platform - From idea to AI, Lightning fast ⚡️. Code together. Prototype. Train on GPUs. Scale. Serve. From your browser - with zero setup. AI Studio is your laptop on the cloud. Zero setup. Always ready. Persistent storage and environments. Code on CPU. Debug on GPU. Scale to multi-node. Run sweeps, jobs and more. Scale models with PyTorch Lightning, Fabric, Lit-GPT, torchmetrics and more.