Top Tech Jobs & Startup Jobs in Pune

Qualify and intake patient leads via chat/WhatsApp/email/phone, assess case viability using AI and clinical data, match patients to partner hospitals and surgeons, coordinate treatment consultations across timezones, prepare patients for doctor conversations, track conversion metrics, and hand off organized cases to Account Success. Provide high-touch concierge communication and build trust with international patients.

Assist in deploying and managing containerized applications, monitor Docker and Kubernetes workloads, troubleshoot Linux, networking, and application issues, support CI/CD and infrastructure automation, work with REST APIs and databases, and maintain operational documentation while collaborating with development and infrastructure teams.

Execute manual and functional testing for web applications, create and run test cases and regression suites, log and track defects, validate UI and backend using SQL, assist with test planning and documentation, support UAT and sprint ceremonies, and optionally contribute to basic automation using Selenium or API tools like Postman.

Build and maintain server-side logic for payment products, design scalable low-latency services, integrate databases and external systems, ensure security and data protection, collaborate with front-end developers, write unit tests, and troubleshoot production issues.

Lead server-side development for scalable, low-latency payment systems. Design and implement backend logic, database schemas, integrations, security, testing, and collaborate with front-end teams to ensure high performance and reliability.

Build and maintain responsive React.js web applications, integrate with backend APIs and databases, optimize performance, ensure cross-browser and mobile compatibility, collaborate with designers, follow frontend architecture best practices, deploy and manage apps on AWS, participate in code reviews and mentor junior developers.

Design, build, and deploy GenAI/LLM-powered solutions (chatbots, summarization, document processing, knowledge assistants). Implement prompt engineering, data preprocessing, embeddings, RAG pipelines, and vector DB integrations. Integrate models via REST APIs, collaborate with product and engineering teams, monitor model performance, and ensure responsible AI practices and production-ready deployment.

Design and build high-throughput, low-latency transaction processing platform services using Python and Go. Implement scalable frameworks, streaming/event processing with Kafka, backing stores (MySQL, Redis, Elasticsearch), and ensure performance, resilience, and production readiness on AWS.

Lead development and production deployment of AI/ML models focused on personalization, recommendations, segmentation, and predictive analytics. Collaborate with data engineering and development teams to ensure data readiness, integrate models into production (real-time systems like Kafka), apply AIOps to monitor performance, and mentor an AI/ML team.

Design, build, and optimize real-time stream processing pipelines using Flink and Kafka; ingest, transform, and enrich streaming data with Spark; integrate solutions with AWS services; monitor, troubleshoot, document, and enforce data governance and security.