At a Glance
- Tasks: Build the enterprise platform for secure and scalable Lovable deployments across major cloud providers.
- Company: Join Lovable, a pioneering tech company transforming software development with natural language.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a high-performing team with significant ownership over critical product areas.
- Why this job: Make a real impact in enterprise AI by designing innovative infrastructure from scratch.
- Qualifications: Experience in backend infrastructure, cloud platforms, and strong programming skills in Go or similar.
The predicted salary is between 63000 - 77000 £ per year.
We're looking for an exceptional software engineer to help build the platform that powers Lovable Enterprise. Enterprise adoption is growing rapidly, and we're building the infrastructure that allows customers to deploy Lovable securely across AWS, Azure, and Google Cloud. From sandboxing and networking to cloud architecture and identity, you'll build the systems that make enterprise deployments possible.
Lovable lets anyone build software using natural language. Millions of people already use Lovable to transform ideas into real products in minutes. Enterprise adoption is accelerating rapidly. Since launching our Enterprise offering, we've onboarded customers ranging from fast-growing startups to some of the world's largest companies, and we're only getting started. To support that growth, we're building the infrastructure that makes enterprise deployments possible across every major cloud provider. Everything we build is designed to be flexible, secure, and cloud-agnostic, giving customers the freedom to deploy Lovable however they need. You'll join a small, high-performing team with ownership over one of the most important parts of the company as we define the future of enterprise AI software.
What we're looking for
- Experience building backend infrastructure or platform systems.
- Experience building enterprise products or working in regulated environments.
- Experience with Bring Your Own Cloud (BYOC) deployments is especially valuable.
- Strong understanding of cloud infrastructure across at least one of AWS, Azure, or Google Cloud and how to configure them securely.
- Strong programming skills in Go, Rust, Java, C++, or similar.
- Experience working with infrastructure as code and Kubernetes.
- Broad knowledge across networking, databases, distributed systems, security.
- Experience building secure, reliable systems that operate under demanding production workloads.
- A product mindset—you care about the people using the systems you build.
We're less interested in traditional DevOps experience and more interested in engineers who enjoy building software that powers infrastructure.
What you'll do
- Build the enterprise platform that enables customers to run Lovable securely and at scale.
- Build the infrastructure powering enterprise deployments across AWS, Azure, and Google Cloud.
- Work closely with enterprise customers and cloud providers to solve complex infrastructure challenges.
- Design cloud-agnostic systems that allow customers to deploy Lovable in the environment that best fits their needs.
- Build secure sandboxing and runtime environments.
- Design and improve networking, encryption, identity, and enterprise infrastructure capabilities.
- Build the internal platform that enables engineering teams to ship enterprise features faster.
- Help define the long-term architecture of Lovable Enterprise.
Why this role?
Enterprise is one of the fastest-growing parts of Lovable. You'll have unusually high ownership over a critical area of the product, working across engineering, enterprise customers, and major cloud providers to build infrastructure that very few companies get the opportunity to design from scratch. If you're excited about building software that enables the next generation of enterprise AI products and doing it across every major cloud platform, we'd love to hear from you.
Our tech stack
We're building with tools that both humans and AI love. Lovable engineers work across the stack, and examples of our technology include:
- Languages: Go, Rust, TypeScript
- Cloud: AWS, Azure, Google Cloud, Cloudflare
- Infrastructure: Kubernetes, Terraform, Temporal, OTEL, CI/CD
- Data: Postgres, ClickHouse, Firestore, Spanner, BigQuery
We're always looking for better tools and better ways of building software.
Software Engineer, Platform (Enterprise) employer: Antler
Noxus is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration. With a focus on employee growth, team members are empowered to shape the future of AI-driven process transformation while working closely with top enterprise clients across the UK and Europe. The office-first environment in vibrant cities like London or Lisbon fosters creativity and connection, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Platform (Enterprise)
✨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 Antler 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 Antler.
✨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 Antler.
✨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 Antler 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 Software Engineer, Platform (Enterprise)
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 Antler.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Antler 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 Antler
✨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 Antler 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.
