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.

This role involves leading complex projects to enhance accounts payable processes and efficiency. Responsibilities include managing the procurement process, developing supplier relationships, and implementing risk management strategies. The position also requires mentoring junior team members and collaborating with cross-functional teams to align procurement activities with business objectives.

This role involves designing, developing, and maintaining data pipelines and architectures to support business needs. You will ensure data quality, optimize data processes, and collaborate with cross-functional teams to deliver solutions. Strong experience in BigQuery, SQL, and Python is required.

As a Data Scientist, you will apply strategic and analytical skills to solve business problems for the PayPal Risk team. You will work with stakeholders to drive automation initiatives and provide insights into emerging fraud trends. The role involves managing projects from ideation to implementation, ensuring effective communication with stakeholders.

As a Data Engineer at PayPal, you will design and develop data pipelines, build scalable data storage solutions, and ensure data quality. You will work with technologies such as GCP, Java, Python, and Big Data tools. Collaboration with cross-functional teams to meet data requirements is essential.

Lead the development and implementation of advanced data science models in the Credit Risk domain. Collaborate with stakeholders to understand requirements and drive best practices in data science. Ensure data quality and integrity while mentoring junior data scientists.

The Sr Staff Software Engineer will make technical decisions affecting multiple teams and establish conventions and processes. This role involves handling multi-team initiatives, communicating technical issues, and mentoring others. The candidate should have strong technical and functional depth to lead architectural decisions across the Bank platform.

This role involves enhancing process quality and efficiency within enterprise systems. The Software Engineer will analyze complex system issues, recommend solutions, and oversee team performance to meet project goals. Responsibilities include leading enterprise-wide applications projects and contributing to best practices for effective system operations.

As a Principal Engineer at PayPal, you will architect and lead the development of complex backend systems. You will collaborate with diverse teams to create exceptional products and drive innovation. Your role includes mentoring team members and ensuring the technical success of business domains.

You will develop and enhance CECL and IFRS9-compliant loss forecasting models using advanced machine learning and statistical techniques. Your work will directly influence PayPal’s credit risk management and loss reserves. Collaborate with cross-functional teams to ensure models are robust, compliant, and impactful.

This role is part of a specialized engineering operations team focused on the payments organization. The candidate will facilitate and automate various business operations, triage production issues, and collaborate with engineering teams for rapid resolution. Flexibility to work in shifts is essential for continuous operational coverage.

This role involves implementing tasks within the Software Development Lifecycle (SDLC) under the guidance of experienced staff. The candidate will collaborate with peers and project leads, contribute to code and design reviews, and apply internal standards to make technical decisions.

The Product Manager will participate in product discovery, collaborate with stakeholders, and utilize data analysis to inform decisions. Responsibilities include coordinating merchant communication, establishing operational procedures, and solving customer problems. The role involves building analytical solutions and working closely with lead product managers.

The Sr Staff Software Engineer makes technical decisions affecting multiple teams and establishes conventions and processes. This role handles multi-team initiatives, communicates technical issues, mentors others, and partners with product management to ideate solutions to business problems.

Lead the development and implementation of advanced data science models and algorithms. Collaborate with stakeholders to understand requirements and deliver solutions. Drive best practices in data science, ensuring data quality, and mentor junior scientists.

This role involves implementing tasks within the Software Development Lifecycle (SDLC), ensuring operational coverage in a 24/7 support team, and performing settlement and reconciliation processes with payment providers. The analyst will collaborate with engineering and support teams to resolve transaction discrepancies and support ongoing business operations related to payment processing.

This role involves leading complex projects to optimize operational processes and drive global process improvements. The manager will act as a liaison between business leadership and key partners, utilizing data to provide actionable insights for business growth.

This role acts as a project leader, coordinating activities of engineers and improving existing structures and processes. Responsibilities include performing settlement and reconciliation processes, resolving transaction discrepancies, and collaborating with engineering and support teams for escalated issues.

Seeking a Senior Data Scientist to lead risk strategy, anomaly detection, and machine learning initiatives. You'll own decision systems, extract insights from complex data, ensure data quality, and mentor junior talent.