Job Description We are seeking a skilled SDET to drive quality assurance through integration testing, automation, and data migration validation. The role focuses on designing automated test frameworks to ensure robust data migration and seamless system integrations. Key Responsibilities Develop and execute automated integration tests for data migration workflows. Design and maintain automation scripts to validate system functionality and data integrity. Collaborate with development and data teams to ensure quality in migration processes. Identify, report, and track defects to ensure high-quality deliverables. Optimize testing processes for efficiency and coverage. Qualifications Strong experience in integration testing and test automation. Proficiency in automation tools and frameworks (e.g., Selenium, JUnit). Familiarity with data migration testing and validation. Excellent analytical skills and attention to detail.
Key Responsibilities Develop and maintain backend applications using Java and Spring Boot. Design and execute data migration strategies to Azure Cosmos DB. Collaborate with business stakeholders to align solutions with requirements. Ensure data integrity and performance during migration and development. Optimize systems for scalability and efficiency. Qualifications Strong experience with Java, Spring Boot, and Azure Cosmos DB. Proven expertise in data migration projects. Ability to work closely with business teams to deliver solutions. Excellent problem-solving and communication skills.
Key Requirements: Primary Skills: Proficiency in Java (Exceptional skill level) Willing to Learn: Perl Good to Have: Perl, SQL, React JS,Springboot Work Experience: Proven background in backend development using Java Responsibilities: Develop and maintain scalable backend systems using Java and Spring Boot. Experience in DMN Modelling or willing to learn DMN Java with Drools experience (Average) and willing to Model only Ability to Debug DMN Models, Java and Perl Code Ability to understand API and API Versioning Ability to perform Ul Testing and JSON Testing Ability to Peer Review Models and Code Ability to analyze the Production issues and provide timely solutions. Write clean, efficient, and well-documented code following best practices. work with SQL databases . Collaborate with cross-functional teams for feature delivery and deployments . Show eagerness to learn Perl and contribute when needed.
Responsibilities: Collaborate with teams to design and deploy AI solutions using Python. Own end-to-end development: from requirements to deployment and maintenance. Write clean, efficient code following best practices. Conduct code reviews and mentor junior developers. Contribute to user experience improvements. Stay updated on Generative AI trends. What Were Looking For: 2-3 years of Python Fullstack experience (Django/Flask/FastAPI, SQL, ReactJS). Knowledge in Data Science is a plus Experience building data pipelines and backend for cloud-native apps. Hands-on experience in Generative AI. Problem-solver who can troubleshoot complex issues independently. Strong communication skills and a collaborative mindset. Self-driven, proactive, and adaptable in a startup environment.