Engineering Manager: Azure Microservices & Integrations

Marks and Spencer

Salford

On-site

GBP 90,000 - 130,000

Full time

9 days ago
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Benefits offered by this job

20% colleague discount
Holiday allowance (buy more)
Discretionary bonus schemes
Pension and life assurance
Induction and training
Family policies
Wellbeing support
Volunteer day

Job summary

Marks & Spencer is seeking an Engineering Manager to lead and grow engineering teams responsible for Azure-based microservices, APIs, and SaaS integrations. You will collaborate with product, architecture and vendors to deliver scalable, reliable systems in a fast-moving, AI-enabled environment.

The role focuses on modernising legacy platforms and establishing strong engineering practices for sustained delivery.

Qualifications

  • Senior-level, hands-on software engineering leadership.
  • Experience designing and operating scalable Azure microservices.
  • Expertise in event-driven architecture and enterprise integration patterns.
  • Experience integrating enterprise apps with workforce management platforms or comparable SaaS platforms.
  • Proven ability to modernise legacy technology and adopt DevOps practices.

Responsibilities

  • Build, mentor and lead high-performing engineering teams.
  • Provide hands-on technical leadership across Azure microservices and APIs.
  • Lead design and delivery of integrations with Blue Yonder and SaaS platforms.
  • Collaborate with product and architecture to define technical roadmaps.
  • Drive quality, reliability, and observability across services.

Skills

People leadership
Azure microservices
API design
Event-driven architecture
Distributed systems
DevOps practices
Cloud-native applications

Tools

Azure
Kubernetes
CI/CD
Dynatrace
Blue Yonder integrations

Job description

Marks & Spencer is seeking an Engineering Manager to lead and grow engineering teams responsible for Azure-based microservices, APIs, and SaaS integrations. You will collaborate with product, architecture and vendors to deliver scalable, reliable systems in a fast-moving, AI-enabled environment.

The role focuses on modernising legacy platforms and establishing strong engineering practices for sustained delivery.

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