Applications QA Engineer

About Us Nimbus Data Systems is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Nimbus Data Systems meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Nimbus Data Systems X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Nimbus Data Systems offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Nimbus Data Systems goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Nimbus Data Systems is headquartered in Oxford, U.K. More information is available at www.sophos.com . Role Summary As a Quality Assurance Engineer, you will work with a high-performing, collaborative team of QA professionals, ensuring that the team's approach and delivery align with departmental standards and best practices. You will play a hands-on role in testing the company's IT applications, including Snowflake, Maia, Salesforce, Zuora, and SAP. You will also test integration processes within MuleSoft and the Service Layer, as well as AI models and agents developed as part of the company's AI initiatives. In this role, you will ensure that all deliverables meet defined quality standards while collaborating with cross-functional teams to enable the successful delivery of products and enhancements that meet customer requirements and expectations. What You Will Do Design and execute QA test plans aligned with team standards. Collaborate with the Scrum Master, Business Analyst (BA), and Technical Architect (TA) to clarify requirements, resolve issues promptly, and recommend improvements where appropriate. Participate in debugging and defect triage activities. Develop, implement, and document manual and AI agent-enabled functional and regression tests. Manage and prioritize tasks to meet project timelines. Support and recommend testing strategies in collaboration with the QA Lead. Design and execute test plans and testing strategies. Independently deliver small projects with minimal guidance. Ensure release quality through Test-Driven Development (TDD) practices and test coverage reviews. Participate in Root Cause Analysis (RCA) investigations and drive continuous improvements. Contribute to broader team goals and departmental priorities. Recommend and implement process improvements, particularly in the adoption and use of AI within QA practices. Perform other duties and responsibilities as assigned. What You Will Bring Essential Bachelor's degree in Computer Science or a related field. 2+ years of hands-on experience working in a Quality Assurance team. 1+ year of experience with SQL, PL/SQL, T-SQL, or other database scripting languages (e.g., Snowflake, Oracle, or similar databases). Experience with data warehousing tools (such as Matillion, Informatica, or dbt) and database concepts including ETL, SQL, DDL, and DML. Strong communication skills with both technical colleagues and business stakeholders. Excellent written and verbal English communication skills. A strong sense of curiosity and a willingness to learn new QA tools, technologies, and AI-related capabilities. Ability to adapt to fast-paced and evolving environments. Strong time management and task prioritization skills. Desirable Intermediate understanding of the Software Development Life Cycle (SDLC) and Agile methodologies (e.g., Scrum and Kanban). Experience with manual and automated testing tools such as Jira and Zephyr. Exposure to programming or scripting languages such as Python, Java, JavaScript, or Bash. Familiarity with using AI models or AI-assisted tools to support automated testing is an advantage. #B1 Ready to Join Us? At Nimbus Data Systems , we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Nimbus Data Systems ? · Nimbus Data Systems operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first or