Senior Software Engineer (Search)

Team: Technology (Moonpig)

Location: Manchester, London

Commitment: Permanent

Workplace Type: hybrid

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 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:

• Strong hands-on experience with OpenSearch, Elasticsearch or comparable search-engine technology, with OpenSearch experience particularly valuable for this role.

• 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.