India · Mid Level
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Responsive, formerly RFPIO, is the market leader in a growing category of SaaS solutions called Strategic Response Management. More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon, Visa and Zoom, are using the Responsive platform to manage business critical responses -including bids, questionnaires, assessments, and trust centers - that impact nearly half of a company's revenue. More than 35% of cloud SaaS leaders and more than 20 of the Fortune 100 standardize on Responsive, and the company has been voted "best in class" by G2 for 24 quarters straight. Customers have used Responsive to close more than $750B in transactions to-date. To learn more, visit responsive.io.
Responsive is looking for a product minded Software Engineer with strong technical skills and a passion for building scalable solutions. This is an opportunity to work in a fast-paced, innovative environment and contribute to the growth of a top-tier SaaS company.
Distributed Systems Development: Design, develop, and maintain Responsive application ensuring high performance, scalability, and reliability.
Performance Tuning: Monitor and optimize performance, addressing bottlenecks and ensuring low-latency query responses.
Collaboration: Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to deliver seamless and intuitive experiences.
Continuous Improvement: Stay updated with the latest trends and advancements in technologies, conducting research and experimentation to drive innovation.
2+ years of experience in software design, development, and algorithm-related solutions using Java and related technologies.
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Strong proficiency in Java programming, Java design patterns, and server-side Java development.
Demonstrated versatility in multiple front-end and back-end technologies such as Spring, React, MongoDB,, etc.
Experience working with cloud platforms such as GCP, Azure, or AWS. Knowledge of cloud-native services for AI/ML, data storage, and processing.
Expertise in search and retrieval technologies, including search platforms like ElasticSearch, Apache Solr, or similar, with experience in AI-driven solutions, Natural Language Processing (NLP), semantic search, and text processing techniques is a plus.
Proficiency in Test Driven Development (TDD).
Scrum and JIRA experience is a plus.
Experience working in a fast-paced, dynamic environment, preferably in a SaaS or technology-driven company.
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