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Role Overview : We are seeking a dynamic Salesforce QA Engineer with hands-on experience in manual testing, Salesforce administration, and Provar test automation.The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our Salesforce platform by designing, executing, and maintaining test plans and automation frameworks, while also managing basic Salesforce configuration and admin tasks. Key Responsibilities : Quality Assurance & Testing : - Design, develop, and execute manual and automated test cases for Salesforce applications (Sales, Service, etc.) - Perform functional, regression, smoke, and integration testing across different Salesforce modules. - Validate workflows, process builders, triggers, approval processes, and integrations. - Track, report, and manage defects using JIRA (or similar tools). - Maintain QA test documentation, traceability matrix, and coverage reports. Provar Automation : - Build and maintain test automation scripts using Provar for Salesforce web UI and API flows. - Integrate Provar automation suites with CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps. - Identify automation opportunities and drive test coverage improvements. Salesforce Admin Responsibilities : - Support complex Salesforce configuration (custom objects, fields, profiles, page layouts, validation rules, etc.) - Collaborate with Salesforce Admins and Developers to support testing and deployment activities. - Assist with sandbox management, data loading (via Data Loader or Workbench), and test data creation. Required Skills & Qualifications : - 5/6+ years of experience in Salesforce testing (manual and automation). - Hands-on experience with Provar Automation Tool (must-have). - Strong understanding of Salesforce ecosystem (Sales/Service Cloud, CPQ preferred). - Experience with Salesforce admin/configuration tasks. - Familiarity with testing REST/SOAP APIs (Postman or Provar API tests). - Proficient in tools : JIRA. - Good understanding of Agile/Scrum methodologies. - Salesforce Admin Certification (ADM-201) is a plus.

We are looking for a skilled Data Engineer with strong hands-on experience in Clickhouse, Kubernetes, SQL, Python, and FastAPI, along with a good understanding of PostgreSQL. The ideal candidate will be responsible for building and maintaining efficient data pipelines, optimizing query performance, and developing APIs to support scalable data services. - Design, build, and maintain scalable and efficient data pipelines and ETL processes. - Develop and optimize Clickhouse databases for high-performance analytics. - Create RESTful APIs using FastAPI to expose data services. - Work with Kubernetes for container orchestration and deployment of data services. - Write complex SQL queries to extract, transform, and analyze data from PostgreSQL and Clickhouse. - Collaborate with data scientists, analysts, and backend teams to support data needs and ensure data quality. - Monitor, troubleshoot, and improve performance of data infrastructure. - Strong experience in Clickhouse - data modeling, query optimization, performance tuning. - Expertise in SQL - including complex joins, window functions, and optimization. - Proficient in Python, especially for data processing (Pandas, NumPy) and scripting. - Experience with FastAPI for creating lightweight APIs and microservices. - Hands-on experience with PostgreSQL - schema design, indexing, and performance. - Solid knowledge of Kubernetes managing containers, deployments, and scaling. - Understanding of software engineering best practices (CI/CD, version control, testing). - Experience with cloud platforms like AWS, GCP, or Azure. - Knowledge of data warehousing and distributed data systems. - Familiarity with Docker, Helm, and monitoring tools like Prometheus/Grafana.

Job Description : Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend.- Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements.- API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services.- LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions.- Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities.- Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness.- Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle.- Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment.- Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products.- Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions.- Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.- Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies.- Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+).- Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS.- API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs.- AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications.- Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services).- LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications.- Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.- Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB).- DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions).- Testing : Experience with writing unit, integration, and end-to-end tests.- Problem-Solving Skills : Excellent analytical and problem-solving abilities.- Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.- Collaboration : Ability to work effectively in a collaborative team environment

We are looking for a skilled Data Engineer with strong hands-on experience in Clickhouse, Kubernetes, SQL, Python, and FastAPI, along with a good understanding of PostgreSQL. The ideal candidate will be responsible for building and maintaining efficient data pipelines, optimizing query performance, and developing APIs to support scalable data services. - Design, build, and maintain scalable and efficient data pipelines and ETL processes. - Develop and optimize Clickhouse databases for high-performance analytics. - Create RESTful APIs using FastAPI to expose data services. - Work with Kubernetes for container orchestration and deployment of data services. - Write complex SQL queries to extract, transform, and analyze data from PostgreSQL and Clickhouse. - Collaborate with data scientists, analysts, and backend teams to support data needs and ensure data quality. - Monitor, troubleshoot, and improve performance of data infrastructure. - Strong experience in Clickhouse - data modeling, query optimization, performance tuning. - Expertise in SQL - including complex joins, window functions, and optimization. - Proficient in Python, especially for data processing (Pandas, NumPy) and scripting. - Experience with FastAPI for creating lightweight APIs and microservices. - Hands-on experience with PostgreSQL - schema design, indexing, and performance. - Solid knowledge of Kubernetes managing containers, deployments, and scaling. - Understanding of software engineering best practices (CI/CD, version control, testing). - Experience with cloud platforms like AWS, GCP, or Azure. - Knowledge of data warehousing and distributed data systems. - Familiarity with Docker, Helm, and monitoring tools like Prometheus/Grafana.