Build, optimize, and maintain scalable production data pipelines using Python, PySpark, Databricks, and SQL. Develop real-time streaming solutions with Apache Kafka, use workflow orchestration and CI/CD practices, and implement data observability, monitoring, and quality frameworks. The role requires production deployment experience, DevOps or infrastructure-as-code exposure, and strong data processing expertise in Azure Databricks.

Lead the design and implementation of AI-agent-driven end-to-end testing workflows. Architect scalable UI and API automation frameworks, establish validation guardrails, assess AI-generated code and tests, and mitigate AI security risks. The role also involves defining test specifications, measuring productivity impact, mentoring QA engineers, and integrating modern QA, CI/CD, DevOps, and distributed-systems practices.

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.