Role Description We are seeking a seasoned Senior QA Engineer with a strong background in both automation and manual testing, with proven expertise in Selenium WebDriver and Java-based test automation. This role is pivotal to ensuring the quality and reliability of our SaaS-based HRMS solutions. The ideal candidate will be responsible for leading QA efforts, driving test strategy, building scalable automation frameworks, and contributing to a high-quality Agile development environment. - Lead the end-to-end automation testing efforts using Selenium WebDriver with Java, and support key initiatives across manual testing workflows. - Design, develop, and maintain robust, reusable test automation frameworks for web applications. - Create and execute comprehensive test plans, test cases, and manual/automated scripts ensuring maximum coverage. - Identify, isolate, and thoroughly document bugs, collaborating closely with developers for timely resolution. - Integrate automated tests into CI/CD pipelines (Jenkins/GitHub Actions) and work closely with DevOps to streamline deployments. - Perform cross-browser and cross-platform testing using tools such as BrowserStack or Sauce Labs. - Conduct API testing (manual and automated) using Postman, RestAssured, or similar tools. - Support performance testing efforts (using tools like JMeter) to ensure optimal application behavior under load. - Champion best practices in BDD/TDD, test data management, defect reporting, and test metrics tracking. - Actively contribute to Agile ceremonies (daily stand-ups, sprint planning, retrospectives, demos). - Stay updated on emerging test tools and technologies to improve QA strategy and implementation. - Mentor junior QA engineers and ensure QA standards are consistently met across projects. Qualifications - 6+ years of experience in Software QA, with at least 3+ years in Selenium WebDriver automation using Java. - Expertise in Java programming with strong OOP principles, especially in building automation scripts and frameworks. - Solid hands-on experience with test automation frameworks: TestNG, JUnit, and BDD tools like Cucumber. - Strong command of manual testing techniques, including exploratory, regression, functional, and integration testing. - Proficiency with CI/CD tools: Jenkins, Git, Docker. - Experience with API testing and validation using Postman, RestAssured, or similar tools. - Knowledge of performance testing tools like JMeter is a strong plus. - Experience testing in cloud-based or virtual test environments (BrowserStack, Sauce Labs, etc.). - Familiarity with Agile development methodologies and DevOps practices. - Strong analytical mindset with attention to detail and excellent problem-solving skills. - Exceptional communication skills and ability to work collaboratively with cross-functional teams.

Role Description We are seeking an experienced QA Automation Architect with deep expertise in designing, developing, and scaling automation frameworks using Selenium WebDriver, Playwright, and Java. This role is critical in driving automation strategy, enhancing test coverage, and ensuring the reliability of our SaaS-based HRMS solutions. The ideal candidate will lead automation architecture initiatives, collaborate closely with cross-functional teams, guide QA processes, and elevate overall product quality within an Agile development environment. Key Responsibilities - Lead the design and development of scalable automation frameworks using Selenium WebDriver (Java) and Playwright. - Architect and implement end-to-end test automation strategies, aligning with product and engineering goals. - Build reusable, maintainable, and high-performing automation suites for web applications. - Oversee and contribute to the creation of manual and automated test plans, test cases, and scripts. - Integrate automated suites into CI/CD pipelines (Jenkins, GitHub Actions) and collaborate with DevOps teams to optimize execution. - Conduct and guide cross-browser & cross-platform testing using tools like BrowserStack/Sauce Labs. - Perform and support API testing using Postman, RestAssured, or similar tools. - Contribute to performance testing initiatives using tools such as JMeter. - Promote best practices in BDD/TDD, test strategy, test data management, defect lifecycle, and quality metrics tracking. - Actively participate in Agile ceremonies including daily stand-ups, sprint planning, grooming, retrospectives, and demos. - Evaluate emerging testing tools and technologies, making recommendations to enhance automation efficiency. - Provide mentorship and technical guidance to QA engineers, ensuring consistent QA standards across teams. Qualifications - 7+ years of experience in Software QA, including substantial automation experience. - 3+ years of hands-on expertise in Selenium WebDriver automation using Java. - Strong proficiency in Java programming and object-oriented design principles. - Experience with automation frameworks such as TestNG, JUnit, and BDD tools like Cucumber. - Working knowledge of Playwright for modern end-to-end automation. - Solid understanding of manual testing practices: exploratory, regression, functional, and integration testing. - Strong experience with CI/CD tools: Jenkins, Git, Docker. - Hands-on experience in API testing using Postman, RestAssured, or similar tools. - Exposure to performance testing using JMeter is highly desirable. - Experience with cloud-based testing environments (BrowserStack, Sauce Labs, etc.). - Familiarity with Agile methodologies and DevOps culture. - Excellent analytical, problem-solving, and debugging skills. - Strong verbal and written communication with the ability to collaborate across engineering and product teams.

Role Description The Quality Assurance (QA) Analyst will test from a customer perspective, utilizing manual tools. During the development cycle, the QA Analyst will work closely with the Software Developers, Product Management, and Customer Support to understand customer usage models, identify use cases, create test plans and test cases, and then execute tests. Additionally, they will be responsible for identifying and creating test automation solutions. - As an agile development team member, your main goal is to ensure that quality is an essential part of our internal applications. - Be a patient advocate to ensure our patients have the most user-friendly experience of our applications by identifying gaps in requirements and acceptance criteria. - Deliver and execute effective and efficient test methods and use case scenarios. - Create, maintain, and execute regression suites and drive to automation where possible to ensure the greatest coverage with the least manual effort possible. - Identify and communicate quality process improvements focused on all test requirements. Qualifications - Hands-on experience with APIs, Postman, and MSSQL is a must. - Experience with backend testing is a must. - Hunger to learn in a fast-paced environment. Able to synthesize well from partial information sources. Not afraid to identify and ask awkward questions. - Passion for Quality Assurance balanced with the business need to release software sooner rather than later. - Able to see the big picture as well as perform detailed analyses. - Self-directed and goal-oriented, who can grasp difficult concepts. - Strong technical, logical, and reasoning skills, along with clear and effective verbal and written communication skills for technical and non-technical team members. - Proven ability to effectively prioritize and execute tasks in a team-oriented, collaborative workplace. - Experience with testing strategies, planning, creation, and execution in an agile environment, along with continuous integration practices. - Collaborate with agile software development and QA team to coordinate and review QA and test activities. - Proactively communicate with peers and management to address and resolve issues. - Solid knowledge of current Quality Assurance methodologies, best practices, and toolsets. - Understanding Relational database design and Azure is a plus. - Hands-on experience with automated testing using TestCafe and JavaScript is a plus. - BS in Computer Science or equivalent experience in an IT field. - 2+ years as a quality assurance analyst in Information Technology. - Must be able to work 8 am - 5 pm Eastern time zone. - Any other tasks or projects as assigned by the immediate supervisor.

Role Description We are looking for a high-performing AI Automation Engineer to join our CS Operations – GTM Automation & AI team. In this role, you will design, build, and continuously evolve the AI-driven applications and tools — chat assistants, workflow automations, and increasingly autonomous agents — that make our post-sales revenue-focused teams (Customer Success, Renewals, Technical Account Management, Managed Services) exponentially more effective and efficient. You will partner closely with key stakeholders, end users, AI Integration, Data Engineering, and Enablement to turn ideas into high-impact AI capabilities. This role is ideal for someone who is fiercely passionate about the pace of AI innovation, loves rolling up their sleeves, and is energized by rapidly evolving technologies and a fast-paced environment. You will be part of a fast-moving team that thrives on working with rapidly evolving technologies to deliver value to end-users and our customers. This is an individual contributor role reporting to the leader of the GTM Systems & Automation pillar, which in addition to AI is responsible for the full CS tech stack. Your day to day - AI Chat Assistants & Conversational AI - Evolve our role-based AI chat assistants — trained to answer questions and take actions tailored to specific personas (e.g., CSM, Renewals). - Apply advanced prompt engineering techniques to construct the right level of context, ensuring accurate analysis and reliable output. - Continuously test, monitor, and refine assistant performance based on usage data and user feedback. - AI-Driven Workflow Automation - Design and build AI-driven workflow automations using enterprise-grade orchestration platforms (e.g., Amazon Quick Automate, UnifyApps). - Use AI to process data, apply evaluation and decision logic, generate outputs, and trigger downstream actions. - Deploy scheduled and trigger-based workflows, and design human-in-the-loop checkpoints where judgment or approval is required. - AI Architecture & Optimization - Continuously optimize AI system performance — faster data retrieval and analysis, breaking workflows into modular AI agent building blocks, and determining what belongs in a natural-language prompt versus what should be engineered in code (e.g., Python). - Assess which AI logic should live at which layer — what should be centralized versus decentralized across different vendors and clouds — and continuously evaluate the ensemble of AI tooling: LLMs (Anthropic, OpenAI, Amazon Bedrock, etc.) and orchestration platforms (Amazon Quick Automate, UnifyApps, open source, and others). - Stay ahead of the rapidly evolving AI landscape and proactively recommend where new models, frameworks, or techniques should be adopted. - AI Integration - Partner closely with the AI Integration and Data teams to expand the AI “brain” — extending data access and connectivity via MCP (Model Context Protocol) and connecting to additional datasets in our data warehouse. - Integrate and wire together our AI capabilities (chat, headless, workflow) with the broader CS tech stack, including Salesforce, Gainsight/Totango, Clari, Gong, Pendo, Snowflake/Redshift, AWS, and Power BI. - Help determine what AI processing we build and own ourselves versus what we leverage from point-solution vendors (e.g., Salesforce, Gong, Totango). - Agentic AI Applications - Build our first truly agentic CS applications — AI that completes work with minimal to no human intervention — starting with our long-tail and smaller customer segments. - Define the human-in-the-loop guardrails, evaluation logic, and monitoring needed to operate agentic systems reliably and safely at scale. - Continuously identify new opportunities across the long-tail customer base where agentic AI can replace manual, repetitive work. Qualifications - Bachelor’s degree in Business, Computer Science, Engineering, or related field - 8+ years of professional experience, with at least 2+ years focused on AI technologies - Proven experience building AI applications with demonstrated results - Experience in GTM, ideally within post-sales functions such as Customer Success - Strong command of advanced prompt engineering; understands how to construct context that drives accurate, reliable model output. - Experience architecting multi-agent systems optimized for performance, reliability, and scale. - Working knowledge of Python, with the ability to use AI to write code and to determine which components belong in a prompt versus in code. - Hands-on experience with enterprise orchestration platforms (e.g., Amazon Quick Automate, UnifyApps, or similar), LLM platforms (Anthropic, OpenAI, Amazon Bedrock), and tools such as OpenAI Codex, Claude CoWork, etc. - Familiarity with the broader CS tech stack — Salesforce, Gainsight/Totango, Clari, Gong, Pendo, Snowflake/Redshift, AWS, Power BI. - Very comfortable operating with a high degree of ambiguity — moving fast, pivoting as needed, and working in a highly iterative motion. - Genuine passion for AI innovation and a track record of staying current with new models, frameworks, and tools. - Strong communication skills, with the ability to translate technical AI concepts for non-technical business stakeholders. Benefits - Competitive compensation - Comprehensive benefits - Career success on your terms - Flexible work environment - Annual wellness and community outreach days - Always on recognition for your contributions - Global collaboration and networking opportunities