Backend Software Engineer

CATCHES
Newcastle upon Tyne
1 month ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Full-Stack C#, Blazor Developer

Contract Observability Software Engineer

AI Project Manager

Senior Data Scientist

Purchasing Coordinator

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 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.