RS SOFTWARE | Icebreaker

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RS SOFTWARE | Icebreaker

RS SOFTWARE

RS SOFTWARE

Our vision is to deliver mission-critical payment solutions that combine innovation and entrepreneurship, to create the new gold standard for digital payments – Payments at the Speed of Thought

6 members

Contact info

Link

rssoftware.com

Members

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Professional Summary Recruitment leader with 20+ years of experience in Talent Acquisition, Strategic Sourcing, and Talent Intelligence across diverse global markets, including India, Middle East, Africa, SE Asia, and North America. Specialized in technology hiring (Cloud, Analytics, Security, AI/ML, ERP, Sales) with expertise in niche skills, bulk hiring, and executive search. Proven success in recruitment automation, market research, and talent analytics, leveraging data-driven strategies to optimize hiring outcomes and workforce planning. Adept at building recruitment frameworks, enhancing employer branding, and delivering high-impact hiring solutions for complex, large-scale, and leadership roles. Key Expertise Technology Hiring: 18+ years | Campus Hiring: 6 years Strategic Sourcing & Market Research: 8 years Talent Analytics & Recruitment Automation: 8 years Executive Hiring: 5 years Technical Skills Advanced Excel: Data analysis, automation, and reporting Power BI: Interactive dashboards and recruitment insights Core Strengths Global hiring expertise | Recruitment automation | Strategic workforce planning | Delivering actionable talent insights

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Sr. IT Technical Recruiter

Aniruddha Dasgupta

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Technology & Thought leader with 18+ years experience in leading high performance teams and managing for success. Fintech Expert ~ Engineering & Product Leadership ~ Payment Systems Innovator ~ Product Development ~ Managing Execution & Delivery ~ Global team Management ~ Organizational & Cross Functional Leadership ~ Operational Maturity ~ Strategic & Growth Planning ~ Team Building & Mentorship ~ Innovation ~ Blockchain ~Cryptocurrency ~DeFi ~ CeFi ~ NFT Payment System Expert and Pioneer who has lead the implementation of some transformational and milestone events in the payment ecosystem of this decade. Notable Product launches include Apple Pay, Tokenization, Google/Samsung Pay and most recently P2P/B2B Real time Money transfer Program and Artificial Intelligence based Authorization and Clearing Platform. Passionate about Blockchain & Cryptocurrency ecosystem and its role in designing the DeFi landscape. Presently working on Managing High performing Engineering team at Visa to design Next Gen Intelligent Automation tools applying the latest Artificial Intelligence, Machine learning, Distributed System & Cloud Computing techniques.

Manish Chatterjee

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Dynamic and self propelled software engineer with experience in Payment systems industry. Responsible for end to end solution including development, implementation and supporting critical applications. I have 17 years of experience on multiple related large and complex projects in both waterfall and Agile delivery model. Worked on different technologies like Mainframe, Open systems like Unix servers and Docker/Kubernetes clusters. Currently I am working as Lead Systems Engineer in Visa Inc’s office located at Foster City, CA, USA.

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An experienced software engineer with expertise in creating high-performance applications, with a focus on scalable architectures and distributed systems, having hands-on experience in building application using microservices architecture, cloud platforms and various database technologies.

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Established, managed and executed QA process in multiple service based projects and product companies. Worked closely with DevOps team to build next generation Quality and Performance Testing Standards Helped setting up QA Process and Test strategy in various Start-Ups Worked and managed various engagements involving Test Automation and Performance engineering Ensure health of Applications, IT environment and services Delivered QA programs in domains viz. ERP, LIMS, Payments, Online gaming, Web3 Experienced in managing and working with teams in multiple geo-locations Working experience on Jenkins, Octopus, TeamCity, Docker, Kubernetes, Kafka