FDO Consulting Limited | Lead/Senior Automation Tester, Angular and C#, Home Based

FDO Consulting Limited
London
1 year ago
Applications closed

Job Description

Senior/Lead Test Automation Engineer, Home based but with travel to the London office when required. Must have designed and developed automation testing strategies. Required technical skills - C#, Azure, Angular, Selenium, APIs, Postman, Swagger. £ 60000 - 70000 + bonus + benefits

Strong knowledge of the following technical skills are required for this role and must be clear and current on your CV - C#, Angular, Azure, UI Test Automation with Selenium, Web Service and API testing with Postman and SoapUI, Swagger, JSON, SQL and XML. Knowledge of or an interest in Machine Learning an advantage.

Financial service sector client is looking for a Senior QA Engineer/Automation engineer who will be responsible for the end to end quality assurance for one of their key products. The product is a complex financial system and release quality, accuracy of outputs and speed to delivery are all key. The product is currently manually tested and you will be responsible to propose, design and implement an automation test strategy. You must have previously built and implemented a number of automation strategies.

Key accountabilities include -

  • Design and develop automated testing strategies and implement them in industry standard frameworks.
  • Executive manual and automated tests and analyse results, defects, etc.
  • Work with the broader testing team across the business.
  • Act as the SME for the product in terms of testing.
  • Make informed and independent decisions.

Experience Required -

  • Proven experience in a similar senior role (this is a stand alone role so you must have experience at this level).
  • Significant experience of building test frameworks and building automation scripts.
  • Proven experience of designing and implementing test plans.
  • A good understanding of end to end architectures.
  • Worked in regulated environment - ideally financial services.
  • Technical knowledge required -
  • Strong knowledge working in a C# and Azure environment.
  • Strong knowledge of Angular.
  • Strong knowledge of UI Test Automation using Selenium.
  • Strong Web Services and API testing with excellent knowledge of Postman and SoapUI.
  • Good knowledge of Open API (Swagger).
  • Strong JSON and XML (able to create and edit API requests).
  • Strong SQL querying skills.

This is an excellent role for a candidate who wants to play a lead role on a key product. You will own the products test automation by designing and building the test strategy and frameworks and moving the testing (where possible) from manual to automated. This is a stand-alone role so candidates can only be considered if they have proven experience in a similar position.

Salary is likely to be in the range £ 60000 - 70000 + bonus + benefits. The role is home based with travel to the London office when required.

If you have all of the skills listed above and are interested in this role please send your CV for a full brief.

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.