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Apple

Early careers - Software Development Engineer, Sales Engineering

London
Posted about 21 hours ago
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Imagine a role where you could use your knowledge and skills to have a broader impact than anywhere else, and where you could make your own dent in the universe. Apple’s Sales Engineering teams build the systems that enable any potential customer to have the greatest store experience, wherever they are in the world, and ensure that anyone selling Apple devices can do their best work supporting clients. If you’re interested in understanding how things operate at scale — across hundreds of thousands of points of sale — and how the Apple experience is delivered globally, this role might be for you.

DESCRIPTION

As an Early Careers Full Stack Engineer in Sales Engineering, you will contribute to applications and services used by our channel partners, in Apple Stores, and by internal teams across the business. Our main products include DCOTA (Digital Content Over The Air), which manages over 1.4 million devices in our partners’ stores, and StoreFront, the go-to app for partner staff to manage their stores — covering marketing campaigns, fulfillment, ticketing, and support. You will work across the stack — building backend services, contributing to frontend experiences, and gaining hands-on exposure to cloud infrastructure and DevOps practices. Working under the guidance of senior engineers, you will take ownership of well-scoped features from implementation through to deployment, within a team where your contributions matter from day one. We value engineers who think critically about how AI can improve both the products they build and the way they build them — someone who naturally reaches for new tools, stays curious about emerging technologies, and considers how intelligence and automation can make systems better.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

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MINIMUM QUALIFICATIONS

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  • Working knowledge of at least one programming language (e.g. Java, Python, JavaScript/TypeScript, or Swift)
  • Experience building or consuming APIs, and an understanding of how frontend and backend components interact
  • Understanding of relational databases and basic data modelling
  • Curiosity about how AI tools and technologies can improve engineering work

PREFERRED QUALIFICATIONS

  • B.S. or M.S. in Computer Science or equivalent experience; non-traditional backgrounds are valued
  • Experience building full-stack applications (backend services + frontend UI)
  • Familiarity with cloud services (AWS or similar) and CI/CD pipelines
  • Experience with AI-assisted development tools or personal projects exploring ML/LLM capabilities
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Skills

Java
Python
JavaScript
TypeScript
Swift
API Development
Relational Databases
Data Modelling
Full Stack Development
Cloud Infrastructure
DevOps
CI/CD
AWS
Machine Learning
LLM
Automation

Location

London, England, United Kingdom

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