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 DevOps 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 SpecFlow 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 NeoLoad.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. #J-18808-Ljbffr