Senior Software Engineer (Search) at Moonpig in Manchester

  • Company: Moonpig
  • Location: Manchester
  • Job type: full time
  • Workplace: hybrid
  • Posted: 2026-10-23

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Job description

We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles. We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care. We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive. If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷 Senior Software Engineer |📍Manchester (ideally) or can be London – Hybrid (1-2 days a week) | 💰Competitive Salary + Benefits About the Role Search helps millions of customers navigate and explore a huge catalogue of products so they can make moments with their loved ones. As a Senior Software Engineer in the Search team, you will help build scalable, resilient experiences using search, AWS, and modern web technologies. We work collaboratively with teams across Moonpig to deliver innovative features and grow our capabilities. This is an opportunity for a senior engineer, or someone stepping up into a senior role, who wants to learn quickly, work with great technology, and deliver an amazing product for customers. Our expectations of our Senior Software Engineers: • Good engineering comes first - You’ll have a great technical knowledge base and the experience to know what works and what doesn’t. We expect you to apply these skills in making the right decisions and applying best practices wherever possible. • Technical mentoring and leadership - You’ll be collaborative, inclusive and spreading knowledge wherever possible. People will be looking up to you for technical guidance and part of your role will be to help them on that journey. You will also be responsible for creating the right forums to drive engineering principles and practices across all of engineering. You have the autonomy to drive decisions, but it’s your responsibility to ensure everyone is involved. • Community Mindset - Engage with the engineering community within Moonpig, sharing knowledge and contributing to the continuous improvement of our practices. • Culture and Advocacy - You will play a key role in contributing to a supportive, inclusive, and growth-oriented culture. This includes encouraging knowledge sharing, creating opportunities for collaboration and learning, and helping to represent and advocate for our values both within the organisation and in the wider community. This is important to us because we believe in growing and succeeding together. Key Responsibilities: • Be part of a cross-functional team that designs, implements, and A/B tests new features to provide a better customer experience, using agile principles to scope, track, and deliver work. • Own, with the rest of the team, the back-end integration with our OpenSearch engine. • Build and maintain infrastructure on AWS. • Build and maintain customer-focused features in front-end web pages using React and GraphQL. • Write good, clean code using technologies including AWS, Terraform, Node.js, .NET, C#, TypeScript, and GraphQL, with GitHub for source control and CI/CD pipelines. • Build appropriate tests to ensure safety when writing new code and contributing to the codebase. • Work closely with client teams to support their integration with our services, providing guidance, technical assistance, and tailored solutions for smooth and successful integration. • Collaborate with engineers and data teams to design and deliver AI/ML-driven features using internal ML inference APIs and external LL

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