Software Engineer - Backend Python - Up to £65k DOE ID43375

Software Engineer - Backend Python - Up to £65k DOE ID43375

Full-Time 43200 - 78000 £ / year (est.) No working from home possible
LinkedIn

At a Glance

  • Tasks: Design and build Python backend components that interact with hardware.
  • Company: Join a fast-moving team creating innovative tech that blends software and hardware.
  • Benefits: Enjoy a competitive salary, equity, and hybrid working options.
  • Other info: Opportunity to influence architecture and work closely with elite engineers.
  • Why this job: Make a real impact by shaping systems that connect digital and physical worlds.
  • Qualifications: Experience in Python, cloud services, and building robust codebases is essential.

The predicted salary is between 43200 - 78000 £ per year.

🚀 Are you a backend-focused Python developer ready to help shape real-world tech?Do you enjoy building robust systems that directly interact with hardware?Want to join a small, fast-moving team where your ideas will have immediate impact?Our client is seeking a talented and driven Software Engineer (Python) to join a tight-knit group of engineers building a category-defining product that blends smart software with innovative hardware. If you’ve been craving a role where your backend skills power something real, not just abstract data—you’ll want to read on.Why This Role is GreatThis is more than “just another Python backend role.” It’s your chance to:Own your builds – take features from concept to deployment, working end-to-end across codebases.Bridge the digital and physical – help write the backend systems that interact with real-world hardware.Shape how things are done – join early enough to influence architecture, tools, and best practices.Build for growth – contribute to a system that’s scaling rapidly, where performance and stability matter.Be a voice, not a cog – work closely with an elite group of product, hardware and software engineers where your opinions count.What You’ll Be Working OnDesigning and building Python backend components that interface with hardware and embedded systems.Developing robust, testable software architecture to ensure system reliability in the field.Creating and maintaining APIs, both internal and external, with scalability in mind.Writing clean, production-quality Python code that connects seamlessly across devices, cloud services and data pipelines.Contributing to deployment workflows, cloud integration and system observability.Helping shape the engineering culture and decision-making in a close-knit, mission-driven team.About YouYou’re a backend-leaning software engineer who enjoys building things that have a physical presence. You may come from a pure software background, or perhaps you’ve dabbled in hardware too—but either way, you\'re excited to see your code do something real.You\'ll thrive here if you’re:Confident writing Python for production systems.Comfortable across the stack—even if your strength is in backend, you\'re happy dabbling in cloud, APIs, or integration.Naturally curious about how systems talk to each other—especially software-to-hardware.Experienced in building robust, testable codebases and can explain trade-offs in architecture.Familiar with cloud services (e.g., AWS), Docker, or CI/CD tools, or keen to deepen your expertise in these areas.Nice-to-Have Experience (or Areas You’ll Grow Into)Working with distributed systems or IoT-style devices.Building internal tools or observability dashboards.Firmware, device protocols, or embedded development exposure.Systems performance optimisation or memory/latency tuning.Python frameworks like FastAPI or similar.Any work in telemetry, edge computing, or robotics.The PerksCompetitive salary and meaningful equityHybrid working – mix of remote and in-office collaboration, with flexibility built-inOpportunity to work with physical product and see your work deployed in the real worldTight feedback loop – work with users, get real data, improve rapidlyFlat, transparent structure – where ownership is encouraged and supported

Software Engineer - Backend Python - Up to £65k DOE ID43375 employer: LinkedIn

Join a dynamic and innovative team where your backend Python skills will directly contribute to the development of cutting-edge technology that interacts with real-world hardware. With a competitive salary, meaningful equity, and a hybrid working model, you'll thrive in a flat, transparent structure that values your input and encourages ownership. This is an exceptional opportunity for personal and professional growth in a collaborative environment that prioritises impactful work and rapid feedback.

LinkedIn

Contact Details:

LinkedIn Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - Backend Python - Up to £65k DOE ID43375

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 LinkedIn 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 LinkedIn.

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 LinkedIn.

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 LinkedIn 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 - Backend Python - Up to £65k DOE ID43375

Proficient in Python programming
Experience with backend development
Understanding of APIs and integration
Familiarity with cloud services (e.g., AWS)
Knowledge of Docker and CI/CD tools
Ability to design robust, testable software architecture
Experience with system observability and deployment workflows

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 LinkedIn.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LinkedIn 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 LinkedIn

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 LinkedIn 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.