Lead Software QA Engineer

* ** Flexibility**:
Hybrid Work Model and Business Casual Dress Code, including jeans
* ** Your Future:
** 401k Matching Program, Professional Development Reimbursement
* ** Work/Life Balance:
** Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
* ** Your Wellbeing:
** Medical, Dental, Vision, Employee Assistance Program, Parental Leave
* ** Wide Ranging Perspectives:
** Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees
* ** Training:
** Hands-On, Team-Customized, including SS&C University
* ** Extra Perks:
** Discounts on fitness clubs, travel and more!

The role involves close collaboration with Engineering, Product, Operations, and Dev Ops teams to deliver high-quality applications supported by automated regression tests built in C# using a Behaviour Driven Development (BDD) approach. As the QA Lead, the individual will plan and coordinate testing activities, delegate tasks, and mentor QA Engineers, ensuring industry-standard testing practices are applied. They will also contribute to the QA team’s development by sharing knowledge, running learning sessions, and maintaining the QA knowledge base.

Success in this role requires a strong grasp of Calastone’s technical and functional landscape and a deep understanding of automated testing strategies.

Proven experience leading QA teams and managing people, including delivery of high-profile, time-sensitive projects. Strong background in financial technology, with hands-on experience testing financial data, systems, and messaging formats (XML, JSON, FIX, SFTP, Swift). Proficiency in object-oriented programming, ideally C# (preferred) or Java, and developing .NET-based automated testing frameworks using BDD tools such as Spec Flow or Reqnroll.

Experience testing event-driven services, including those using Azure Service Bus and Azure Kubernetes Services (AKS). Knowledge of testing techniques such as equivalence partitioning and boundary value analysis.

Experience with non-functional testing (performance, load, stress), ideally using Neo Load.

Proficiency in writing SQL queries and analysing relational databases.

Familiarity with AI tools such as Copilot, LLMs, or MCPs to enhance test automation (advantageous).
** Additional attributes we are seeking:
** Calm, focused, and effective under pressure, with strong problem-solving and analytical skills.
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