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    PayPal To Hire 1000 Engineers For Its India Operations

    PayPal To Hire 1000 Engineers For Its India Operations

    PayPal To Hire 1000 Engineers For Its India Operations

    PayPal To Hire 1000 Engineers For Its India Operations
    Sejuti Das··Updated AUGUST 12, 2023, 5:30 AM
    5 min

    PayPal, the US-based digital payments company, has announced that the company will be hiring more than 1,000 engineers for its India development centres across Bengaluru, Chennai and Hyderabad throughout 2021. 

    According to the news media, the hiring will be across software, product development, data science, risk analytics, and business analytics streams at entry, mid-level and senior roles. Further, PayPal has also announced its plan for campus hiring from some of the top Indian engineering colleges.

    The announcement came after PayPal has wind up its local payments business in India while supporting local businesses for international sales.

    Regarding the announcement, Guru Bhat, the Vice President, Omni Channel & Customer Success, and General Manager of PayPal India stated that Indian technology centres had played a pivotal role in enabling the company to constantly innovate to stay ahead of the curve.

    He said, considering digital payments are becoming an essential service, PayPal is focused on nurturing world-class technology talent to continue offering products and services that meet the needs of the growing customer and merchant’s base.

    The technology centres of PayPal’s India currently employ over 4,500 people, playing a critical role in working on technologies to enable a safe and seamless payments experience.

    Adding on to this, PayPal confirmed in an official statement that the pandemic has massively accelerated the shift towards digital payments and highlighted the benefits of adopting a digital-first approach. This has made the products and services by PayPal more relevant now.

    Hence it has now become critical to focus on technology innovation in artificial intelligence, machine learning, data science, risk and security, customer experience and other vital areas.

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