• Research, identify, and access APIs to understand their structures, endpoints, and available data without relying on screen scraping techniques. • Reverse engineer web APIs when necessary, using tools like Burp Suite, Postman, or Fiddler, and conduct reconstructive analysis from a QA perspective. • Write robust, scalable code to extract relevant data from public APIs and accurately transform it into common data models and structures. • Design and implement API integrations by leveraging deep knowledge of web fundamentals—including HTML, DOM, CSS, JavaScript, HTTP/S, client/server architecture, and networking protocols. • Apply solid understanding of REST APIs, including authentication mechanisms like JWT, SAML, OAuth, and data transfer processes, to ensure seamless API interactions within various network environments. • Develop and implement solutions to handle bot detection techniques such as request throttling, device fingerprinting, and CAPTCHA mitigation. • Break down the development of products and features into manageable, iterative releases, demonstrating strong problem-solving skills. • Document findings and collaborate effectively with development teams through excellent written and verbal communication. • Work autonomously and self-direct while thriving in a team environment. • Take ownership throughout the entire Software Development Life Cycle (SDLC), including QA, build, deployment, and support of production systems.

Title: AI-native QA Engineer Location: United States Job Description: QA Engineer - AI-Assisted Testing Were a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. Were looking for an AI-native QA Engineer with 3+ years of experience who will automate the workflow using modern AI frameworks and tools like Codex and Claude. Youll leverage LLMs to speed up testing, bug analysis, and test generation while maintaining rigor through architecture, documentation, and proper validation. Youll help us scale our AI Agent and platform with confidence-automating what matters, catching what counts, and using AI as a core part of how you work. Responsibilities - Build AI-based testing frameworks and pipelines that automate the full QA workflow: design test strategies, develop automated tests, create and execute test plans, perform different types of testing across workflows, and analyze defects-all powered by LLM tools and modern AI frameworks - Perform functional, regression, integration, and load testing across agent workflows - Analyze defects and incidents, identify root causes, and help prevent regressions - Collaborate closely with developers, product managers, and R&D on release validation - Contribute to improving QA processes, test coverage, and automation practices Requirements - 3+ years of QA experience, with 2+ years in QA automation - Active hands-on usage of LLMs (GPT, Claude, Llama, etc.) in your QA workflows-not just interest, but real experience in building AI based QA pipelines - Strong Python and PyTest skills - Hands-on experience with SQL (PostgreSQL, ClickHouse) - Solid understanding of REST APIs, client-server architecture, and web services - Experience creating and maintaining automated test suites in CI/CD pipelines - Ability to work independently with complex business logic - Ability to work in EST timezone Nice to Have - Experience testing data pipelines or integration workflows - Startup experience What We Offer - Remote-first environment - 20 PTO days + U.S. holidays - Modern AI tech stack and freedom to experiment - Extremely fun & open startup environment - Professional development reimbursement

Role Description Litify is looking for a QA Engineer to join our Product & Engineering team! This is a high-impact, AI-first role where you will own quality end-to-end within an agile squad. In this role, you will play a crucial part in ensuring the quality of our legal software, which is built on the Salesforce platform. The ideal candidate has a strong background in both manual and automated testing and will thrive in a hands-on, team-oriented, and fast-paced agile environment. We are actively transforming how QA works at Litify; shifting from traditional manual test execution to an AI-augmented model where AI agents perform initial test passes and human QA engineers focus on reviewing AI-generated results, exploratory edge-case testing, and making critical judgment calls on quality and risk. You will be the person who drives this transformation on the ground. Your day-to-day will involve: - Reviewing and validating AI test outputs. - Identifying gaps the AI missed. - Performing targeted exploratory testing on high-risk areas. - Building scalable Playwright automation to reach 80% coverage by end of year. - Using Claude, GitHub Copilot, and other AI tools as core components of your testing workflow. You can be located anywhere in the United States. Qualifications - 3+ years of experience in a QA role, with a strong foundation in both manual and automated testing. - 2+ years of hands-on experience with Playwright (preferred) or strong experience with a modern automation framework (Cypress, Selenium, WebdriverIO, etc.) and willingness to ramp quickly on Playwright. - Proven ability to create and own test plans, define test strategies, and make risk-based decisions about release readiness. - Familiarity with Xray or a comparable test management tool integrated with Jira. - Strong Jira proficiency, including ticket workflows, bug reporting, sprint board management, and defect classification. - Comfortable working in a fast-paced, highly collaborative, and dynamic Agile/Scrum environment. - A clear understanding of what it means to own "code quality" for a development team. - Strong verbal and written communication skills with the ability to articulate issues, priority, and impact in a clear and concise way. - The ability to interact and coordinate test activities among multiple teams. Requirements - 4+ years of experience with Playwright (nice-to-have). - Experience with Salesforce or testing Salesforce-based applications (nice-to-have). - Familiarity with Salesforce debugging logs or similar platform-level diagnostic tools (nice-to-have). - Prior experience working within legal technology or document management products (nice-to-have). - Experience with CI/CD pipelines and integrating automated tests into deployment workflows (nice-to-have). - Familiarity with AI testing concepts such as output validation, hallucination detection, or confidence scoring (nice-to-have). Benefits - Estimated base salary pay range: $100,000-$110,000. - Potential for a bonus and benefits. - Competitive compensation based on qualifications, experience, skill set, and internal equity. - Openness to a variety of profiles, with flexibility in experience level.

• Develop and maintain EAG/API-gateway automation components that integrate with Government-approved CI/CD pipelines. • Create and validate configuration-as-code, pipeline-compatible deployment artifacts, gateway promotion workflows, API validation gates, and migration automation components. • Support automated checks for API specification quality, governance compliance, Zero Trust controls, telemetry, configuration drift, and production-readiness evidence. • Build automation and validation evidence that supports PWS automation outcomes, including 75 percent manual onboarding reduction, 90 percent automated onboarding success rate, and 100 percent Zero Trust/governance compliance prior to production deployment. • Troubleshoot gateway-side CI/CD integration issues, including deployment failures, configuration errors, credential/certificate dependencies, environment promotion issues, and validation gate failures. • Support Git-based version control, branching, pull/merge request workflows, artifact repositories, and release evidence. • Coordinate with Government CI/CD, DevSecOps, cybersecurity, identity, network, and release teams for platform-owned dependencies. • Produce pipeline documentation, automation runbooks, validation logs, deployment evidence, rollback steps, and knowledge-transfer materials.