Senior Software Engineer C# .NET

We are looking for a Senior Software Engineer to join our embedded delivery team at a high-profile, globally recognised consumer brand in London. This is an onshore, client-facing role where you will work closely with the client's technology and product teams, acting as a senior technical resource within an agile delivery environment.

You will be expected to hit the ground running, bring genuine technical depth, and operate with a high degree of autonomy - while being collaborative enough to work seamlessly alongside client stakeholders, third-party vendors.

What You'll Do

*Design, build and maintain scalable, production-grade software across web, API and data layers

*Take ownership of technical delivery end-to-end - from requirements through to deployment and support

*Integrate AI and automation capabilities into existing and new product workflows where appropriate

*Evaluate and adopt new tools, frameworks and technologies as the client's needs evolve

*Work closely with product owners and business stakeholders to translate requirements into robust technical solutions

*Provide technical leadership and mentoring to junior engineers within the pod

*Participate in architecture discussions, code reviews and sprint ceremonies

*Identify and address technical debt proactively, balancing delivery pace with code quality

Core Engineering

*8+ years of software engineering experience across the full stack

*Strong proficiency in at least two languages (e.g. Python, TypeScript, C#, Node.js) with genuine comfort picking up others

*Solid grounding in RESTful API design, microservices architecture, and cloud-native development (Azure preferred)

*Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) and DevOps practices

*Strong SQL and working knowledge of NoSQL datastores

AI & Automation

*Hands-on experience integrating LLMs, AI APIs (OpenAI, Azure OpenAI, etc.) or ML models into production applications

*Familiarity with agentic frameworks, RAG pipelines, or AI-assisted workflow automation

*Ability to assess where AI genuinely adds value vs. where it's noise - and articulate that clearly to non-technical stakeholders

Adaptability & Mindset

*Demonstrable track record of picking up unfamiliar tech stacks quickly and delivering within them

*Comfortable with ambiguity - can operate without a fully defined spec and shape solutions collaboratively

*Client-facing confidence - able to present technical options clearly, push back when needed, and build trust with non-technical audiences

*Experience working in embedded or managed service delivery models a strong advantage

Nice to Have

*Hospitality, retail or consumer-facing platform experience

*Experience with Salesforce, MuleSoft or similar integration platforms

*Familiarity with Power Platform or low-code tooling alongside traditional engineering

*Prior experience in a consultancy or SI delivery environment

*Embedded position at a globally recognised brand with a dynamic, fast-moving technology environment

*Exposure to a broad technology landscape with genuine scope to influence architecture and tooling decisions

*Competitive salary and benefits, backed by Espire's wider engineering and AI practice