Level

Marks & Spencer

Software Engineering Manager- Instore Payments and Infrastructure

AI in this role

As a Software Engineering Manager within Store Payments & Infrastructure, you will lead teams running and evolving business-critical store systems, ensuring they are reliable in live trading environments. Working across multiple engineering teams and third-party partners, you will maximise delivery outcomes in a domain built on complex integrations with store hardware and external systems, improving how these platforms are designed, tested and operated at scale.

You will lead teams working across technologies including Micronaut, Spring Boot, Kafka, GitHub Actions, Azure Pipelines, Azure DevOps, Kubernetes, Docker, Azure Storage, Redis and Dynatrace. This role is ideal for a technology leader with experience delivering high-quality software in complex, production-critical environments while driving reliability, modernisation and engineering excellence.

Due to high interest, this role may close earlier than advertised. We recommend applying as soon as possible.

What you'll do

Your key accountabilities will include:

• Being accountable for engineering excellence within your teams, from behaviours to operations, from technical direction to solution in production and from skills and growth to reputation.
• Cultivating self-management and accountability throughout the team via leadership, clear sense of purpose and thoughtful talent management.
• Leading alignment with the overarching technical strategy and working with the wider Technology organisation to craft it.
• Acting as a platform owner, applying product thinking to enable and empower store systems through improved reliability, scalability and developer productivity.
• Driving engineering performance, system reliability, speed of change and quality whilst supporting modernisation and reducing technical debt.

Who you are

Your skills and experience will include:

• Previous hands-on senior software engineering experience across complex, production-critical systems.
• Extensive software engineering experience across a variety of systems and technologies, including large-scale, live operational environments.
• Experience building and leading highly skilled engineering teams that deliver high-quality software in high-availability, customer-impacting systems.
• Strong understanding of system design, software architecture, cloud technologies, testing strategies, reliability engineering and DevOps principles.
• Experience working with technologies including Micronaut, Spring Boot, Kafka, Azure DevOps, Kubernetes, Docker and Azure services, alongside strong stakeholder management and people leadership skills.

Our Tech Stack

  • Java, Spring Boot, Micronaut & REST APIs
  • Kafka Event Streaming
  • Azure, Azure DevOps & Azure Storage
  • Kubernetes, Docker & Microservices
  • GitHub Actions, Azure Pipelines & CI/CD
  • Redis, Dynatrace & Observability Tooling

 

Everyone’s welcome

We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.

We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.

If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.

 

#LI-Hybrid #LI-DB2

How we rate this

Software Engineering Manager- Instore Payments and Infrastructure at Marks & Spencer rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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