QA Lead Engineer - PA26Q3QAJH101

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

QA Engineer Location: London, UK | Hybrid Get To Know Us: SS&C is a global provider of investment, financial services, and software for the financial services and healthcare industries. Through our partnership with Calastone, the world's largest global funds network, we help connect leading financial organisations, simplifying the investment process by reducing complexity, risk, and cost. We continue to invest in innovative technologies, including AI-driven software engineering and quality assurance practices, to deliver world-class solutions to our clients. Why You Will Love It Here! Flexibility: Hybrid Work Model Your Future: Professional Development Reimbursement including access to SS&C University Work/Life Balance: Competitive holiday scheme Your Wellbeing: Competitive benefits designed to support the wellbeing of our staff Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity Training: Hands-On, Team-Customised throughout your career What You Will Get To Do: Design, develop, and maintain automated functional and regression test suites using C# , BDD frameworks (SpecFlow/Reqnroll) , and modern automation tools. Execute functional, regression, API, UI, and exploratory testing to ensure high-quality software releases across Calastone's products. Integrate automated testing into CI/CD pipelines using GitHub Actions , supporting continuous delivery practices. Leverage AI-powered development tools such as Claude Code , GitHub Copilot , and MCP integrations to accelerate test creation, defect investigation, and impact analysis while validating all AI-generated output. Collaborate closely with Software Engineers, Product Managers, DevOps, Operations, and Client Delivery teams to understand requirements, identify defects, and ensure successful delivery. Generate and maintain high-quality BDD scenarios, automated test scripts, and QA documentation while contributing to the team's automation standards and knowledge base. Continuously improve QA processes, promote automation best practices, and contribute to the adoption of AI-driven quality engineering across the team.

Experience developing automated test frameworks using C# (.NET) (preferred) or Java , with Behaviour Driven Development frameworks such as SpecFlow or Reqnroll . Strong experience automating REST API and UI testing using tools such as Playwright , Selenium WebDriver , or similar technologies. Knowledge of CI/CD pipelines , GitHub Actions , version control, and modern software delivery practices. Strong SQL skills with experience working against relational databases and validating complex datasets. Experience using AI-assisted coding tools (such as Claude Code , GitHub Copilot , or similar) to improve software testing while applying critical thinking to validate AI-generated outputs. Solid understanding of software testing principles, agile methodologies, test design techniques (including equivalence partitioning and boundary value analysis), and automation best practices. Excellent communication and collaboration skills with the ability to work effectively across technical and business teams.

Experience within financial services or fintech , particularly testing financial systems, XML, JSON, FIX, SFTP, or Swift messaging. Familiarity with MCP (Model Context Protocol) integrations and AI agent workflows. Experience testing event-driven architectures, including Azure Service Bus and Azure Kubernetes Service (AKS) . Knowledge of NeoLoad or