We are seeking a skilled Tester with 2 years of experience to join our dynamic team. The candidate will be responsible for ensuring the quality and performance of our MERN (MongoDB, Express.js, React, Node.js) stack applications hosted on AWS. You will work closely with developers, product managers, and DevOps teams to deliver robust, scalable, and high-quality web applications. Key Responsibilities Develop and execute comprehensive test plans, test cases, and test scripts for MERN stack applications. Perform functional, integration, regression, and performance testing across front-end (React) and back-end (Node.js, Express.js) components. Validate data integrity and performance of MongoDB databases, including queries and indexing. Test RESTful APIs and ensure seamless integration between front-end and back-end services. Conduct automated and manual testing to identify bugs, performance bottlenecks, and security vulnerabilities. Collaborate with DevOps to test and validate application deployments on AWS (e.g., EC2, Lambda, S3, RDS, API Gateway). Monitor and test application performance, scalability, and reliability in AWS environments. Document test results, defects, and provide detailed reports to stakeholders. Participate in Agile ceremonies (e.g., sprint planning, daily stand-ups, retrospectives) to ensure quality at every stage of development. Stay updated with the latest testing tools, methodologies, and AWS services to improve testing efficiency. Required Skills and Qualifications Experience: 2 years of experience in software testing, with at least 1 year working on MERN stack applications. Technical Skills: Proficiency in testing front-end applications built with React (e.g., component testing, UI/UX validation). Experience testing back-end services built with Node.js and Express.js (e.g., API testing using tools like Postman or Jest). Familiarity with MongoDB, including testing database queries, schemas, and performance. Hands-on experience with testing tools such as Jest, Mocha, Cypress, Selenium, or similar. Knowledge of AWS services (e.g., EC2, S3, Lambda, API Gateway, CloudWatch) and testing cloud-hosted applications. Experience with automation testing frameworks and scripting (e.g., JavaScript, TypeScript, or Python). Understanding of CI/CD pipelines and tools like Jenkins, GitHub Actions, or AWS CodePipeline. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, Agile environment. Education: Bachelor s degree in computer science, Information Technology, or a related field (or equivalent experience). Certifications (preferred but not mandatory): ISTQB Foundation Level or similar testing certifications. Nice-to-Have Skills Experience with performance testing tools like JMeter or LoadRunner. Knowledge of containerization (Docker) and orchestration (Kubernetes) for testing microservices. Exposure to Microsoft GraphQL testing. Why Join US Opportunity to work on cutting-edge MERN stack applications hosted on AWS. Collaborative and inclusive work environment. Access to continuous learning and professional development opportunities.
Identify and prospect targeted accounts through a mix of inbound leads, outbound efforts, and cold outreach. Conduct high-quality discovery calls, product demos, and consultative conversations with HR, LD, and business stakeholders. Craft tailored proposals and lead deal negotiations to closure. Collaborate with Marketing and Demand Gen teams to improve lead quality and conversion. Maintain accurate and updated pipeline data in CRM systems. Stay up-to-date on industry trends, buyer behavior, and emerging needs in LD and digital capability-building. Qualifications Strong consultative selling approach able to ask the right questions, connect the dots, and offer compelling solutions. Excellent written and verbal communication. Confident presenter with storytelling ability. Self-starter with a go-getter mindset and ability to prospect independently. Detail-oriented and organized in managing pipelines and follow-ups. Passionate about learning and committed to delivering outcomes. Comfortable working in a performance-driven and agile environment.
Description We are seeking an Accessibility Solutions Expert to join our team and evaluate the performance of our automated accessibility platform. In this role, you will review the analysis generated on various digital resources, ensuring that the metrics are accurate and aligned with end-user expectations. Your expert feedback will be essential in refining the software s user experience and optimizing its effectiveness in both audit and remediation functionalities. Responsibilities Review and Evaluate: Analyze the automated accessibility reports generated by our platform across different digital resources. Validate whether the provided metrics and data points accurately reflect the accessibility status as experienced by end users. Feedback Improvement: Provide clear, actionable feedback on the analysis to ensure it meets user expectations. Identify areas where the platform s user interface and overall usability can be enhanced. Collaboration: Work closely with product development, UX/UI teams, and other stakeholders to relay insights and recommendations. Participate in regular review sessions to discuss feedback and track improvements. Documentation Reporting: Prepare detailed reports summarizing evaluation findings, including suggestions for software enhancements. Maintain documentation of feedback trends to help guide future product updates. Prepare VPAT and ACR. Stay Informed: Keep current with industry best practices, accessibility standards (such as WCAG, ADA, and Section 508), and emerging technologies in automated accessibility testing. Serve as a subject matter expert to advise on how evolving standards can be integrated into our platform s metrics. Qualifications Expertise in Accessibility: Deep understanding of digital accessibility standards (e.g., WCAG, ADA, Section 508) and best practices. Familiarity with automated accessibility testing tools and methodologies. Analytical Skills: Strong analytical capabilities to assess data-driven metrics and translate findings into actionable recommendations. Experience in evaluating digital tools and software interfaces for accuracy and user experience. Communication Collaboration: Excellent written and verbal communication skills to clearly articulate feedback and technical details to cross-functional teams. Proven experience working in collaborative environments to drive product improvements. Preferred Background: Bachelor s or Master s degree in Human-Computer Interaction, UX Design, Accessibility Studies, or a related field. Professional certifications or training in accessibility are a plus. Experience in a role focused on software evaluation or user experience analysis. Contacts ansr source provides equal employment opportunities to all team members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, caste, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We respect and support diverse cultures, backgrounds, talents, and perspectives. We believe embracing diversity and creating an inclusive environment will help us grow and succeed as an organization and better serve learners, who are the ultimate audience for all we create. Manage consent
We re looking for a Client Partner Learning Solutions with 6 10 years of experience in consultative B2B engagements, preferably within the EdTech space. Experience in LMS platforms, microlearning solutions, or custom e-learning content is highly desirable. This is an individual contributor role based in Bangalore, with travel across APAC as required. This role blends consultative engagement, targeted outreach, and client advisory, including cold prospecting into high-priority accounts. You ll be supported by dedicated Demand Generation and Marketing teams, while you focus on building relationships, understanding learning needs, and co-creating impactful solutions with client stakeholders. Responsibilities Identify and engage prospective clients across APAC through a mix of inbound leads, outbound campaigns, and cold outreach. Lead discovery conversations, product walkthroughs, and capability discussions with HR, L&D, and business leaders. Design tailored learning proposals and advisory recommendations that solve specific client needs. Partner with Marketing and Demand Generation teams to refine messaging and improve lead conversion. Maintain a strong, updated opportunity pipeline using CRM tools. Stay informed about trends in digital learning, capability development, and regional L&D practices across APAC. Qualifications Strong consultative approach asks thoughtful questions, listens actively, and builds credible learning solutions. Experience working with clients in the APAC region is a strong advantage. Excellent communication both written and verbal. Confident presenter with the ability to engage senior stakeholders. Self-driven and entrepreneurial, with the ability to manage both prospecting and long-term relationships. Highly organized, detail-oriented, and persistent in pipeline and relationship management. Passionate about continuous learning and delivering client outcomes Job Benefits Engagement Model & Support Engagements range from 1 lakh to 50 lakhs (or regional currency equivalents) Supported by dedicated Demand Generation and Marketing functions Includes targeted cold outreach into key accounts across APAC High autonomy to shape your outreach, messaging, and client strategy Career Growth & Culture Performance-based growth into leadership or domain-specialist roles Opportunities to explore cross-functional learning aligned with your interests Culture of ownership, experimentation, and continuous improve