This role manages software development projects, implements processes, ensures project delivery, and collaborates with stakeholders. The Engineering Manager will lead a team of engineers to design and deliver web and mobile experiences for PayPal's customers in India and emerging markets.

As a Senior Software Engineer, you will participate in all phases of the software development lifecycle, delivering industry-leading products and directing their growth. You will develop efficient code, build new APIs, and collaborate with cross-functional teams to tackle complex problems in fraud and risk management.

Design, develop, and implement machine learning models and algorithms to solve complex problems. Collaborate with data scientists and software engineers to enhance services through AI/ML solutions. Responsibilities include building scalable ML pipelines, ensuring data quality, and deploying models into production environments.

This role involves driving the strategic vision and development of machine learning models and algorithms. You will collaborate with data scientists and software engineers to enhance services through AI/ML solutions, build scalable ML pipelines, and deploy models into production environments.

This role oversees the strategic direction and execution of machine learning projects. Responsibilities include leading the development of ML models, deploying solutions in production, and collaborating with cross-functional teams. The position requires deep expertise in ML frameworks and cloud platforms.

Lead the design, development, and implementation of advanced machine learning models and algorithms. Collaborate with data scientists and software engineers to enhance services through innovative AI/ML solutions. Responsibilities include building scalable ML pipelines and deploying models into production environments.

This role involves designing, developing, and implementing machine learning models and algorithms to solve complex problems. You will collaborate with data scientists and software engineers to enhance services through AI/ML solutions, build scalable ML pipelines, and deploy models into production environments.

The Accounts Receivable Analyst will be responsible for timely reconciliation of General Ledger accounts, resolving unmatched cash for invoiced merchants, and supporting match-pass automation. The role requires strong communication skills and the ability to handle complex escalations while ensuring compliance with company policies.

This role involves implementing tasks within the Software Development Lifecycle (SDLC), collaborating with peers and project leads, and contributing to code and design reviews. Candidates should have 2+ years of Full Stack development experience, proficiency in Java, Node.js, JavaScript, HTML, CSS, and familiarity with modern frontend frameworks like React, Angular, or Vue.

The Accounts Receivable Analyst will be responsible for timely reconciliation of General Ledger accounts, clearing reconciling items, and supporting match-pass automation. The role involves resolving complex escalations and driving process improvements in reporting and reconciliation.

The role involves analyzing complex data sets to provide insights and actionable recommendations for sales teams servicing large enterprise merchants. Responsibilities include ensuring data accuracy, collaborating with stakeholders, and presenting findings to senior leadership. Proficiency in SQL, Python, and data visualization tools is required.

Develop and implement data science models and algorithms to support business needs. Analyze complex data sets, ensure data quality, and collaborate with stakeholders to optimize data processes. Perform advanced statistical analysis and reporting.

Lead the DevOps work for advanced monitoring and root cause analysis functions for machine learning models. Collaborate with software engineers to enhance service stability and scalability through DevOps support. Responsibilities include building CI/CD pipelines, setting up databases, and ensuring system continuity.

We are looking for a data-driven and detail-oriented Data Scientist with expertise in A/B testing methodologies and a solid foundation in core data science concepts. The role involves developing data science models, analyzing complex datasets, and collaborating with stakeholders to optimize user experiences and drive business impact through rigorous analysis.

As a Software Engineer - Python at PayPal, you'll design, develop, and optimize core systems that power millions of transactions daily. You'll contribute to building robust backend systems, write clean code, and participate in code reviews.

The Software Engineer will implement tasks within the Software Development Lifecycle (SDLC), collaborate with peers, and contribute to code and design reviews. The role requires proficiency in backend languages, particularly Java, and a strong understanding of web services and SOA standards.

As a Senior Software Engineer at PayPal, you will design and implement backend solutions that power millions of transactions daily. Your role involves optimizing system performance, mentoring junior engineers, and collaborating with cross-functional teams to deliver high-quality products.

As a Staff Engineer – Python, you'll define the technical roadmap and drive innovation. You'll collaborate with product and engineering leadership to deliver impactful solutions, focusing on scalable backend systems and cloud-native architectures. This role involves working on high-visibility initiatives that expand PayPal’s customer outreach and revenue.

This role involves delivering complete solutions across all phases of the Software Development Lifecycle (SDLC). Responsibilities include advising management on project-level issues, guiding junior engineers, and applying technical best practices. A strong background in cloud architecture, infrastructure automation, and Kubernetes cluster management is essential.

Responsible for SWIFT Applications Alliance Gateway, WebPlatformSE / HSM, and Swiftnet link. Participate in systems integration testing and coordinate with application teams and users. Deliver complete solutions across all phases of the Software Development Lifecycle.