- Moonpig
- Manchester, Greater Manchester
- Full-Time
- 6 days ago
Senior Software Engineer (Search).
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Senior Software Engineer (Search): our view in 3 lines...
- The Role:This is a senior software engineering role on the search team, building technology for Moonpig Group’s online gifting products.
- The Person:The person will integrate the search engine, build and maintain AWS infrastructure and customer-facing features, test new code, support client integrations, and contribute to AI and ML features.
- Requirements:The ideal candidate has experience with OpenSearch or Elasticsearch, AWS serverless, React, Node.js, TypeScript, C#, and GraphQL.
About the role
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.
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:
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 LLMs.
Actively engage with and coach colleagues to enhance the skills and knowledge in the team, fostering a culture of knowledge-sharing and collaboration.
Engage with the wider engineering community at Moonpig, championing best practices across teams.
About You:
You bring experience across frontend and backend development and a strong desire to continue growing towards an Engineering Lead role.
You have experience with some of our technology stack, including AWS serverless, React, Node.js, TypeScript, C#, and GraphQL.
You can collaborate effectively on complex technical tasks, contribute to design discussions, and deliver high-quality solutions.
You can communicate and collaborate effectively with non-technical audiences.
You are keen to learn new processes, techniques, and technologies.
Experience working with serverless, event-driven systems would be desirable.
Our Tech Environment:
OpenSearch, AWS, .NET, C#, React, Node.js, GraphQL, Terraform, TypeScript, and GitHub for source control and CI/CD pipelines.
Scalable and resilient architecture supporting a large product catalogue.
Internal ML inference APIs and external LLMs for AI/ML-driven features.
How we get there:
We work in cross-functional teams and use agile principles to scope, track, and deliver work.
We build appropriate tests into our development process to keep changes safe.
We share knowledge, coach colleagues, and champion engineering best practices across teams.
We collaborate closely with client, engineering, and data teams to make integrations and customer experiences successful.
As part of our Connected Working approach, at least one stage of the interview process will take place in person, giving us the chance to meet face-to-face and get to know each other better. We'll let you know which stage this will be as you move through the process and keep you updated on any other changes along the way.

