At a Glance
- Tasks: Develop and scale the Lightning AI platform, focusing on APIs, infrastructure, and security.
- Company: Join Lightning AI, a leader in AI systems development with a global presence.
- Benefits: Competitive salary, comprehensive health coverage, flexible work environment, and generous paid time off.
- Other info: Dynamic team culture with opportunities for mentorship and career growth.
- Why this job: Make a real impact by building systems for machine learning at scale.
- Qualifications: Experience in Go programming, backend systems, and cloud platforms required.
The predicted salary is between 70000 - 90000 £ per year.
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end‑to‑end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. We serve solo researchers, startups, and large enterprises.
We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end‑to‑end, working closely with engineering, product, and design to ship high‑quality, iterative improvements. This is an opportunity to build systems that support real‑world machine‑learning workloads at scale.
What You’ll Do:
- Write readable/testable/efficient code in Go (Golang).
- Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
- Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
- Evaluate, strengthen, and document technical architecture, tools, and processes.
- Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
- Mentor and coach engineers on system design, operating in high uncertainty, and problem‑solving to create a supportive, inclusive environment where each engineer can grow.
What You’ll Need:
- Extensive experience writing efficient, maintainable code in Go.
- Familiarity with best practices in testing, readability, and optimization is essential.
- Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols.
- Exposure to frontend frameworks is a plus.
- Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable.
- Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
- Proven ability to take ownership of key features and drive end‑to‑end development.
- Commitment to software quality, test automation, and continuous delivery.
- Experience proactively managing technical debt and speeding up time to production.
- Hands‑on experience as a backend or product engineer in a SaaS technology company.
- Communication and collaboration with engineers, product managers, and designers.
- Ability to operate in high uncertainty and rapidly changing environments.
Compensation:
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $180,000 - $250,000 USD.
Benefits and Perks:
- Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
- Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
- Generous paid time off, plus holidays
- Paid parental leave
- Wellness and work‑from‑home stipends
- Flexible work environment
Equal Employment Opportunity Statement:
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.
Backend Engineer in London employer: Lightning-Ai
Lightning AI is an exceptional employer that champions innovation and collaboration, making it an ideal place for a Senior Infrastructure Software Engineer to thrive. With a strong focus on professional development, competitive compensation, and a flexible work environment, employees are empowered to take ownership of their projects while enjoying comprehensive benefits that support their well-being. The company's commitment to diversity and inclusion fosters a vibrant work culture where every team member can contribute meaningfully to cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Lightning-Ai or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Lightning-Ai.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Lightning-Ai.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Lightning-Ai that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Backend Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Lightning-Ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lightning-Ai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Lightning-Ai
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Lightning-Ai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.