Salesforce Lead Developer

Third Republic
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist Degree Apprentice within Sales & Marketing Data Scientist Degree Apprentice within Sales & Marketing Apprentices Crewe, GB 6 Feb 2026

Artificial Intelligence Consultant

Data Scientist - 6 month contract

MLOps Engineer

Artificial Intelligence Co-Founder / COO (100 % remote) (m/f/d)

Artificial Intelligence Co-Founder / COO (100 % remote) (m/f/d)

This business is challenging a legacy industry; with the travel and expenses industry stuck in its ways for decades, and with current platforms expensive, difficult to implement and built on antiquated technology, they decided to turn the market on it’s head.

Harnessing cutting-edge technology such as Kubernetes, Docker and Google Cloud, and drawing on the likes of OCR, big data and artificial intelligence, they have built the most innovative platform possible that has truly transformed how organisations understand their travel and expenses data.

For this business, the key is in doing something new. It is about redefining how an entire industry operates, and becoming the platform of choice for a wide range of global clients. And to do this they will continue to adapt, and evolve, always staying on the cutting-edge and always looking forward. 

To build their industry-changing platform, this business needs a world-class Salesforce developer. Working with two Salesforce Certified Technical Architects, you will use the most cutting-edge Salesforce technologies to expand their application and platform capabilities.

You will spearhead the development of specific features in the Salesforce offering, and you will be hands-on coding and building features in ad-hoc, cross-functional feature teams. This is a unique opportunity to truly shape an incredible company, as you will be define how their platform and applications work, and what capabilities they can offer.


What You'll Be Doing:

Participate in feature design:

You will have immediate access to two CTAs to guide you through the feature design process, and depending on your ambitions, could eventually take on the design responsibility at various application levels

Create Code:

With a strong focus on coding, you will be using cutting-edge technologies and working on a range of technology solutions including integrating AI into the platform. 


What You'll Bring to the Role:2+ years experience Salesforce Development experience Experience working in cross-functional delivery teams Full command of Git, including GitHub and/or BitBucket Excellent communication skills and self-initiative Language Skills: fluent English Location: London, UK
Desired: 3+ months experience Lighting Development experience Experience developing Salesforce Managed Packages Experience with Continuous Integration and Continuous Deployment Experience in the travel industry 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.