QA Engineer

Bishopsgate
5 days ago
Create job alert

Job Title: QA Engineer
Location: London
Department: Quality Assurance
Reports to: Senior QA Engineer or QA Lead Engineer
Direct Reports: None
Corporate Title: Associate
Functional Title: QA Engineer
Role Holder: Vacancy

Role Purpose:

As a QA Engineer, you will play a vital role in contributing to test automation solutions for agile projects. This includes assisting in the design and maintenance of test automation frameworks, integration into build and deployment pipelines via GitHub Actions, and building automated tests using .Net Core and C#. The role requires a collaborative approach to delivering high-quality applications and test solutions within an agile environment.

You will have the opportunity to drive improvements in the testing processes and methodologies, while working closely with cross-functional teams to ensure robust automated test solutions. A solid understanding of the technical environment and functional characteristics of the products will be essential to your success.

Key Responsibilities:

  • Contribute to building and maintaining automation test frameworks using .Net Core and C# with BDD (Behaviour-Driven Development).

  • Design and implement automated tests for functional and regression testing.

  • Perform functional and regression testing for all code and configuration changes.

  • Document QA processes and practices, building a knowledge database.

  • Integrate automated tests into the engineering build pipeline (Continuous Integration) via GitHub Actions.

  • Conduct exploratory testing in line with agile practices and QA industry standards.

  • Collaborate with DevOps, Engineering, Operations, and Client Delivery teams to understand technical changes and testing requirements.

  • Share knowledge and provide support to the QA team on test automation.

  • Gain an understanding of the product suite and related functionality.

  • Support the Senior QA Engineer in adhering to industry standards and internal test automation practices.

  • Work with development teams to identify, log, and resolve bugs or unexpected behaviors.

    Knowledge & Skills:

  • Strong experience in object-oriented programming using C# (preferred) or Java.

  • Experience in developing .Net-based test automation solutions with BDD tools such as SpecFlow and Gherkin.

  • Expertise in automating tests for REST APIs and/or UI-based applications.

  • Experience with GitHub Actions workflow (yaml) for CI pipeline deployments and testing.

  • Experience using Selenoid for parallel UI testing is a plus.

  • Familiarity with AKS (Azure Kubernetes Service) is advantageous.

  • Solid understanding of SQL and experience writing relational database queries.

  • Experience in non-functional testing (e.g., performance, load, stress testing) using tools like Neoload is beneficial.

  • Familiarity with financial system testing (XML, JSON, FIX, SFTP, or Swift) is a plus.

  • Knowledge of QA automation methodologies, tools, and agile processes.

  • Strong understanding of testing techniques such as Equivalence Partitioning and Boundary Value Analysis.

  • Proficient in Microsoft products, Visual Studio, Azure, and general Windows PC environments.

  • Strong communication skills, both technical and non-technical.

  • ISTQB Software Testing certifications are preferred

Related Jobs

View all jobs

QA Engineer

QA Engineer

Automation QA Engineer

Senior QA Engineer (.NET / C#)

Lead Test engineer - Perm - Hybrid - Coventry

Software Development Team Lead

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 to Write a Cloud Computing Job Ad That Attracts the Right People

Cloud computing underpins much of the UK’s digital economy. From startups and scale-ups to enterprise organisations and the public sector, cloud platforms enable everything from data analytics and AI to cybersecurity, DevOps and digital services. Yet despite high demand for cloud skills, many employers struggle to attract the right candidates. Cloud job adverts are often flooded with unsuitable applications, while experienced cloud engineers, architects and platform specialists quietly pass them by. In most cases, the problem is not the shortage of cloud talent — it is the quality and clarity of the job advert. Cloud professionals are pragmatic, technically experienced and highly selective. A poorly written job ad signals confusion, unrealistic expectations or a lack of cloud maturity. A well-written one signals credibility, good engineering culture and long-term thinking. This guide explains how to write a cloud computing job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Cloud Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for cloud computing jobs in the UK you might have noticed something frustrating: job descriptions rarely ask for “maths” directly yet interviews often drift into capacity, performance, reliability, cost or security trade-offs that are maths in practice. The good news is you do not need degree-level theory to be job-ready. For most roles like Cloud Engineer, DevOps Engineer, Platform Engineer, SRE, Cloud Architect, FinOps Analyst or Cloud Security Engineer you keep coming back to a small set of practical skills: Units, rates & back-of-the-envelope estimation (requests per second, throughput, latency, storage growth) Statistics for reliability & observability (percentiles, error rates, SLOs, error budgets) Capacity planning & queueing intuition (utilisation, saturation, Little’s Law) Cost modelling & optimisation (right-sizing, break-even thinking, cost per transaction) Trade-off reasoning under constraints (performance vs cost vs reliability) This guide explains exactly what to learn plus a 6-week plan & portfolio projects you can publish to prove it.

Neurodiversity in Cloud Computing Careers: Turning Different Thinking into a Superpower

Cloud computing sits at the heart of modern tech. Almost every digital product runs on someone’s cloud platform – from banking apps & streaming services to AI tools & online shops. Behind those platforms are teams of cloud engineers, architects, SREs, security specialists & more. These roles demand problem-solvers who can think in systems, spot patterns, stay calm under pressure & imagine better ways to build & run infrastructure. That makes cloud computing a natural fit for many neurodivergent people – including those with ADHD, autism & dyslexia. If you are neurodivergent & considering a cloud career, you might have heard messages like “you’re too distracted for engineering”, “too literal for stakeholder work” or “too disorganised for operations”. In reality, many traits that come with ADHD, autism & dyslexia are exactly what cloud teams need. This guide is written for cloud computing job seekers in the UK. We will cover: What neurodiversity means in a cloud context How ADHD, autism & dyslexia strengths map to cloud roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you should have a clearer sense of where you might thrive in cloud computing – & how to turn “different thinking” into a professional superpower.