Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Backend Software Engineer

CATCHES
Newcastle upon Tyne
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer I - Data Governance - Java

Senior Data Engineer I

Senior Data Engineer I

Backend Data Engineer in London - Similarweb

Quantitative Developer

Staff Data Engineer

Location:Fully remote with the opportunity of working in a co-working space local to you


About:

CATCHES are a SaaS start-up backed by some of the most influential names in luxury fashion globally. We've partnered with the global leaders in cloud computing and AI to integrate advanced 3D rendering, Artificial Intelligence (AI) and Visual Effects (VFX) techniques to create unparalleled shopping experiences for luxury fashion and exclusive events.


Role:

We are seeking a highly skilled Backend Software Engineer to join our team. The ideal candidate will have experience building APIs and backend services, ideally in C#.NET.

In this role, you’ll build robust, scalable, and secure backend systems powering our SaaS platform. You will collaborate closely with the frontend team, data engineers, and other stakeholders to deliver high-quality software solutions that meet our product's needs.

You’ll have input into technical direction and contribute to shaping backend architecture as we scale.


Responsibilities:

  • Design, develop, and maintain APIs and services primarily usingC#.NET.
  • Build scalable, fault-tolerant systems for a cloud-native environment (primarilyGCP).
  • Implement event-driven workflows usingRabbitMQ.
  • Collaborate with product, design, data, and frontend teams to ship end-to-end features.
  • Own your code in production, participate in code reviews, and improve system observability.
  • Champion clean code, security best practices, and scalable architecture.


Requirements:

  • 4+ years experience building backend systems, ideally in C#.NET.
  • Solid grasp ofPostgreSQLor equivalent relational databases.
  • Cloud deployment experience (GCP preferred, but AWS/Azure welcome).
  • Comfort withevent-driven architecturesandmessage queues.
  • Experience shipping production-grade systems with performance, security, and observability in mind.
  • Ability to work independently in a fast-moving, startup environment.
  • Strong communication skills and a collaborative mindset.
  • Experience delivering pragmatic solutions and implementing iterative design approaches.
  • Strong understanding of engineering fundamentals, including design patterns, SOLID principles, and clean code.


Nice to Have:

  • NoSQL Database experience.
  • Experience withKubernetesor other orchestration systems.
  • Exposure tobare metaldeployments or hybrid cloud environments.
  • DevOps practices: Infrastructure as Code, monitoring, and alerting.
  • Some experience with frontend development or WebGL/3D rendering pipelines.


What Working with Catches Looks Like:

  • Workfully remotewith optional coworking access.
  • Be part of asmall, experienced teamthat values shipping, experimentation, and autonomy.
  • Contribute early to product and architecture decisions.
  • Use cutting-edge tech to shape the future of immersive eCommerce.
  • Enjoy startup pace without burnout: async-first, high ownership, minimal meetings.


Tech Stack:

  • Languages: C#.NET (primary), Go, Python.
  • Databases: Postgres, Redis.
  • Messaging: RabbitMQ.
  • Infra: Docker, Kubernetes, GCP (primary), AWS, Azure & bare-metal.
  • CI/CD: GitHub Actions.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Education

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Jobs

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

Careers

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.