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Develop and maintain scalable test automation frameworks using Java, Selenium, and Playwright. Create and execute functional, regression, smoke, integration, API, and backend tests across web applications, browsers, and environments. Integrate automated suites into CI/CD pipelines, track and analyze defects, support root-cause resolution, and collaborate with development, product, QA, DevOps, and Agile teams to ensure quality deliverables.

Designs and delivers production-grade generative AI applications, reusable RAG pipelines, agent workflows, document processing systems, and cloud-native architectures. Integrates AI into enterprise systems with strong engineering, DevOps, observability, security, and reliability practices. Develops model-agnostic solutions, establishes responsible AI guardrails, leads architecture reviews, mentors engineering teams, and accelerates AI solutions from prototype to production.

General talent application for future technical and non-technical opportunities at Wissen Technology. Applicants should submit an updated resume and brief cover letter, demonstrate interest in technology and solving business problems, communicate effectively, collaborate well, adapt to fast-paced environments, and show initiative, motivation, and eagerness to learn. Open to fresh graduates and experienced professionals with 0–10 years of experience in Mumbai, Pune, or Bangalore.

Develop scalable full-stack web applications using TypeScript, React or Angular, Python, and Node.js. Build RESTful APIs and server-side services, integrate databases and event-driven technologies, and containerize services with Docker. Collaborate with UI/UX designers, developers, and product managers to deliver responsive, high-performance solutions. Responsibilities include coding, debugging, testing, and meeting project deadlines. Exposure to LLM integrations, AI tooling, and AWS is advantageous.

Sources and screens candidates for US hiring during the night shift, coordinates interviews across time zones, conducts initial assessments, maintains candidate pipelines in ATS systems, communicates with hiring managers and applicants, follows up on feedback and documentation, and supports a positive candidate experience throughout the recruitment lifecycle.

Provides L3 production support for Sybase ASE and Replication Server databases. Responsibilities include migrations, patching, upgrades, performance tuning, query optimization, health checks, incident management, root cause analysis, scripting automation, and high-availability support in a 24x5 environment. Collaborates with application, infrastructure, and engineering teams to resolve critical issues and maintain database reliability, availability, and security.

Develop and maintain scalable Python automation solutions, including Selenium web automation, Pandas-based data processing, REST API integrations, enterprise application connectivity, and relational database operations. Collaborate with cross-functional teams, troubleshoot workflows, validate data, and optimize automation reliability. Preferred experience includes Automation Anywhere A360, Microsoft Power Automate, RPA solutions, Git, CI/CD, and cloud platforms.

Design, develop, and maintain enterprise applications using Java, Spring, Spring Boot, and Hibernate. Build REST APIs and microservices, optimize SQL queries and database performance, conduct code reviews, troubleshoot production issues, and collaborate with cross-functional Agile teams.

Build and maintain scalable automated testing frameworks for an enterprise credit platform. Develop and execute UI, API, integration, unit, and performance tests using Playwright, Selenium, Postman, RestAssured, JMeter, and LoadRunner. Support CI/CD, TDD, pair programming, and code refactoring. Test data pipelines, monitor system metrics, manage cloud testing environments, apply AI tools to improve testing productivity, and lead stakeholder collaboration and testing initiatives.

Develop and optimize SingleStore databases, troubleshoot queries and indexing issues, and improve database performance and reliability. Build Python automation, data processing, monitoring, integration, ingestion, and workflow solutions. Perform database maintenance, capacity planning, health monitoring, and performance analysis while supporting application teams. Maintain technical documentation and follow data security and governance practices. MongoDB, Kafka, cloud platforms, REST APIs, Git, and CI/CD experience are advantageous.