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

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

Bury Full-Time 110000 - 110000 £ / year (est.) Working from home possible
Owen Thomas | B Corp™

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 international team summits.
  • Why this job: Make a real impact on secure data collaboration in drug discovery 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 for the Backend Engineer (Go) - 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 Bury employer: Owen Thomas | B Corp™

Join an elite engineering team at the forefront of drug discovery and AI, where you will have the autonomy to design and develop high-performance backend systems that make a real impact on global health. Enjoy a remote-first culture with competitive salaries, early equity options, and comprehensive benefits that support your wellbeing and professional growth. With opportunities for continuous learning and regular team summits across Europe, this is an exceptional place for talented engineers looking to innovate in a meaningful way.

Owen Thomas | B Corp™

Contact Details:

Owen Thomas | B Corp™ 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 Bury

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 noticed 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 the technical interview! Brush up on your coding skills and be ready to discuss your past projects in detail. They’ll want to see how you tackle real-world problems.

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 Bury

Golang
Python
Cloud-native Workloads
Kubernetes
Docker
AWS
API Design

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. 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 the role. Plus, it makes the process smoother for everyone!

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

Know Your Tech 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 specific projects where you’ve used these technologies.

Showcase Your Problem-Solving Skills

Prepare to discuss complex challenges you've faced in backend development. Think of examples where you had to design resilient systems or improve performance and security. This will demonstrate your ability to tackle the unique challenges of the role.

Understand the Company’s Mission

Familiarise yourself with the company’s focus on secure data collaboration and AI for good. Being able to articulate how your skills align with their mission will show that you’re not just looking for any job, but that you’re genuinely interested in contributing to their goals.

Prepare Questions That Matter

Have thoughtful questions ready about the team dynamics, the tech stack, and how they approach engineering challenges. This shows your enthusiasm for the role and helps you gauge if the company culture is a good fit for you.