QA Automation Engineer
Application Deadline: 5 September 2025
Department: Technology
Employment Type: Full Time
Location: Belfast
Reporting To: Bronagh
Description
Imagine catching criminals before they strike-that's exactly what Napier's AI-powered platform does. By analysing transactions and customers in real time, Napier AI's technology empowers financial institutions to spot suspicious activity, like money laundering, and stops it in its tracks.
Napier AI's technology works like a digital detective, combining AI with smart analytics to outthink criminals and protect people's money from becoming criminal proceeds. It's not just about stopping crime-it's about making the financial world safer and more trustworthy for everyone.
After successfully securing another investment round, we are looking to fuel our ongoing growth and further invest in our AI products. We are currently building out our Tech Hub in Belfast-this is a super exciting time to join Napier in Belfast as we expand.
About the role
The QA Engineer plays a key role within the Napier Engineering group. You will be responsible for building, maintaining, and executing quality-assured automation scripts using modern AI, Machine Learning, and web-based tools. You will investigate root causes of functional issues, and then adjust and improve test cases based on the findings. You will work with business and technical stakeholders to understand, specify, and develop test plans and automated test cases in line with Napier standards, and you will work closely with developers to ensure that they produce high-quality software with high test coverage. You will also carry out manual testing activities when necessary to cover edge cases and hard-to-automate scenarios. You will support QA leads in producing quality metrics and contribute to measures to increase automated test effectiveness and efficiency.
You'll be a passionate hands-on technologist eager to elevate our platform's quality through automation, and someone passionate about embedding automation as a first-class consideration in everything we build. A desire to teach, learn, and help grow a culture of delivery excellence at Napier is welcomed.
You will also be a key member of the wider Napier leadership group-working closely with Solution Architects, Product Owners, and other stakeholders to define technical standards and improvements supporting Napier's goals. Your creativity and ideas will be encouraged and supported-your input matters.
Key accountabilities:
- Develop and execute quality-assured automation scripts using machine learning, web, and API-based automation tools
- Collaborate with developers to build and execute test cases for new or updated product features
- Participate in daily scrum calls, provide updates, and propose solutions for blockers
- Work with QA leads to collate quality metrics and contribute to measures increasing automated test effectiveness and efficiency
- Investigate root causes of functional issues and provide corrective actions
- Undertake manual testing for edge cases and hard-to-automate scenarios
- Participate in technical design workshops and produce technical specifications as requested
Skills, Knowledge & Expertise
- At least 3 years of hands-on experience in QA automation, working with microservice architectures (industry or sector is flexible)
- Experience managing, authoring, and executing test cases for functional and non-functional scenarios
- Experience with structured test automation frameworks
- Experience delivering software to cloud (multiple vendors) and on-premises environments, with understanding of key quality metrics
- Knowledge of DevOps and infrastructure engineering principles
- Ability to work with engineers and QA professionals to enhance automation skills
- Experience in Agile environments and a proactive approach to process improvement
Essential skills include: - Proficiency with modern test automation tools such as Apache JMeter, mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight
- Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL
- Experience with cloud platforms like Azure, AWS, or GCP, and data processing
- Familiarity with CI/CD pipelines and DevOps tooling
- GitHub proficiency
- Strong organizational, analytical, problem-solving, and communication skills
- Comfort working with remote teams and distributed delivery models
Additional skills that are a plus:
- Programming languages such as Scala, Rust, Go, Angular, React, Kotlin
- Database management with PostgreSQL
- Experience with ElasticSearch, observability tools like Grafana and Prometheus
What this role can offer
- Opportunity to deepen understanding of AI and Data Science applications
- Mentorship and support from colleagues to apply your talents
- Career growth and development opportunities
- Knowledge of Financial Services AML and Compliance domains
- Certification opportunities in technical and business skills
- Participation in a high-performance technical community
- Experience with industry methodologies and technologies such as Agile, Azure, Kubernetes