Mid & Senior Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits in Leeds

Mid & Senior Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits in Leeds

Leeds Full-Time 110000 - 110000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Design and build high-performance backend systems using Golang and Python.
  • Company: Join an elite engineering team in a remote-first, innovative tech startup.
  • Benefits: Competitive salary, early equity, wellness budgets, and generous holiday allowance.
  • Other info: Enjoy a dynamic work environment with opportunities for continuous learning and career growth.
  • Why this job: Make a real impact in drug discovery while working with cutting-edge technology.
  • Qualifications: 4+ years in backend development, expert in Golang, and cloud-native deployment experience.

The predicted salary is between 110000 - 110000 £ per year.

I am currently partnering with an elite engineering team building a world-class platform for decentralised and federated computing. They are solving one of the most complex challenges in modern tech: how to process highly sensitive data across global organisations without ever compromising privacy.

They are looking for a Senior Backend Engineer who wants to move beyond standard applications and help architect the infrastructure for the next generation of secure data collaboration. This is a high-autonomy role where you will own the technical design and lifecycle of production services used by some of the world's largest pharmaceutical and data-intensive enterprises.

Responsibilities:
  • Design and evolve high-performance backend systems and APIs, primarily using Golang, with Python integrated for specific domain-driven logic.
  • Build and operate software that bridges the gap between Cloud and On-premise environments, utilising Docker and Kubernetes as the backbone for portable, secure workloads.
  • Take full-spectrum responsibility for features, from the initial architectural blueprint to production monitoring and scaling.
  • Enhance the observability, performance, and security of services running in distributed, resource-intensive environments where data integrity is paramount.
  • Work at the intersection of Engineering, ML, and Product to build cohesive, secure systems that enable 'AI for good' on a global scale.
  • Actively experiment with AI-assisted workflows and emerging developer tools to maintain a peak-efficiency development lifecycle.
  • Lead by example through high-quality execution and active participation in rigorous code reviews to uphold engineering standards.
Requirements:
  • 4+ years of professional experience with a heavy emphasis on building resilient, production-grade backend systems.
  • Expert-level Golang skills and the ability to leverage Python effectively within complex problem domains.
  • A proven track record of deploying and debugging cloud-native workloads via Kubernetes and Docker.
  • Experience with AWS (or similar) and a comfort level working with the unique challenges of hybrid or on-premise deployments.
  • A strong practitioner of testing strategies, code maintainability, and secure API design.
  • You thrive in fast-paced, iterative environments where you can influence technical direction and navigate pragmatic trade-offs.
  • Fluency in English and a strong sense of accountability for technical outcomes and long-term maintainability.
What is in it for you?
  • Competitive salary plus early-stage share options in a scaling deep-tech startup.
  • A remote-first culture allowing you to work from home or a local co-working space.
  • Comprehensive benefits including budgets for wellbeing, mental health, and home-office setups.
  • Dedicated stipend for co-working and a budget for continuous learning and development.
  • Generous holiday allowance.
  • Regular team summits held at their European headquarters or other international locations.

If you think you are a good match, drop over a CV and we will give you a call if we think you are a match!

Mid & Senior Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits in Leeds employer: Owen Thomas | B CorpTM

Join a pioneering team at the forefront of drug discovery and AI, where you will have the autonomy to shape the future of secure data collaboration. With a fully remote work culture, competitive salary, and generous benefits including wellness budgets and continuous learning opportunities, this company fosters an environment that prioritises employee growth and well-being. Experience the thrill of working on complex challenges while enjoying the flexibility and support that comes with being part of a dynamic, innovative startup.

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Contact Details:

Owen Thomas | B CorpTM Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Mid & Senior Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits in Leeds

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. A personal connection can often get you a foot in the door faster than a CV.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those using Golang and cloud technologies. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for technical interviews by practising coding challenges and system design questions. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!

We think you need these skills to ace Mid & Senior Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits in Leeds

Golang
Python
Cloud-native Development
Kubernetes
Docker
API Design
Testing Strategies

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the job description. Highlight your expertise in Golang and any relevant projects you've worked on, especially those involving cloud-native workloads.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about backend engineering and how you can contribute to our mission. Share specific examples of your work that demonstrate your problem-solving skills and technical prowess.

Showcase Your Projects:If you've got any personal or open-source projects, don’t hesitate to include them! We love seeing practical applications of your skills, especially if they involve Docker, Kubernetes, or AI-assisted workflows.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our elite engineering team!

How to prepare for a job interview at Owen Thomas | B CorpTM

Know Your Tech Stack Inside Out

Make sure you’re well-versed in Golang and Python, as these are crucial for the role. Brush up on your experience with Docker, Kubernetes, and cloud-native deployments, as you’ll likely be asked to discuss how you’ve used these technologies in past projects.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in building resilient backend systems. Think of examples where you had to make tough decisions or trade-offs, especially in high-pressure environments. This will demonstrate your ability to navigate complex technical issues.

Understand the Company’s Mission

Familiarise yourself with the company’s focus on secure data collaboration and AI for good. Be ready to articulate how your skills and experiences align with their mission, and think about how you can contribute to their goals in drug discovery and data integrity.

Prepare Questions That Matter

Have thoughtful questions ready that show your interest in the role and the company. Ask about their engineering practices, team dynamics, or how they approach innovation in AI-assisted workflows. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.