Software QA Engineer (Manual & Automation)

As an experienced software QA engineer in manual and automation testing, you will play a pivotal role in ensuring Definely’s products using the latest AI technologies are aggressively tested and meet our exemplary standards of quality and reliability as we release new features and products for desktop and web.  Our customers trust us to provide accurate information about their legal documents and contracts to draft, review, extract and execute their agreements using AI.

Send your CV, portfolio and a short covering letter to careers@definely.com

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Key Responsibilities

• In-depth understanding of Definely software products, critically analyzing use cases, and designing and executing comprehensive automated and manual test scripts and test plans to evaluate software functionality, quality, stability, security, and performance.
• Design, develop, and execute automated tests for AI and non-AI services and systems in C# or Python.
• Thorough documentation of test plans and test cases to ensure clarity and traceability throughout the testing process.
• Identification and detailed reporting of bugs, contributing to the enhancement of software quality such as code reviews.
• Execution of various types of testing, covering both frontend and backend systems, including individual software components, features, and applications. This encompasses acceptance, integration, UI/UX, performance, security, smoke, and regression testing.
• Continuously improve the manual and automation testing process and coverage by implementing new tools and techniques.
• Collaborate and communicate with project managers, architects, developers, and QAs on identifying outcomes and results.

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• Minimum 3 years of manual and automation testing experience in desktop and/or web applications including API and end-to-end testing experience with frontend and backend systems.
• Proficient in C# or Python to build, maintain, and execute automated test suites.
• Experience working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance is a plus.
• Experience with Azure OpenAI Service, AWS Bedrock, and/or AWS Sagemaker is a plus.
• Experience in software QA methodologies, tools and processes.
• Experience in mapping test strategies to requirements, creating detailed test cases and test plans, and preparing test data.
• Working knowledge with test case management tools (e.g. TestRail).
• Good relational and/or non-relational database experience.
• Strong collaboration and communication skills as you will be working together with DEVs, QAs, and other key stakeholders in multiple areas.
• Experience with agile software development methodologies such as Scrum or Kanban.
• Familiarity and/or experience with Microsoft Office, Postman, Jira, Confluence, Bitbucket, Git, TeamCity, Octopus Deploy, Microsoft Azure, and Amazon AWS.
• Someone who isn't afraid of responsibility, loves learning and sharing, and a down-to-earth personality.
• Software certifications are a bonus.

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At Definely, we’re on a mission to simplify the way legal professionals access and understand complex information in legal documents. Trusted by a global community of customers, our LegalTech solutions integrate seamlessly into lawyers' daily workflows, making it easier to draft, review and navigate even the most complex contracts. 

Our products provide instant access to essential information, enabling legal teams to review clauses and provisions in context, reduce risk and work more efficiently – all without disrupting their flow. At Definely, we’re dedicated to solving real challenges faced by legal professionals. 

Joining Definely means becoming part of a forward-thinking, collaborative team that prioritises innovation and people. We create a supportive environment driven by a shared commitment to connection, growth and success. 

Recognised in the top 25 of Deloitte's prestigious UK Technology Fast50 in 2023 and backed by Microsoft, Google and Octopus Ventures, we’re trusted by leading law firms and in-house legal teams, including A&O Shearman, Dentons, Deloitte, and Barclays, to streamline their workflows and mitigate risks.