Top Tech Jobs & Startup Jobs

Reviews customer identification and verification calls, accounts, and risk cases for compliance, accuracy, fraud signals, and quality. Documents audit findings, meets SLAs, makes independent recommendations, coaches investigators, supports quality calibration and escalations, and collaborates with Compliance, Risk, and Operations. The role also contributes reporting, business reviews, process improvements, and policy or workflow enhancements.

Design, implement, test, document, and maintain highly scalable software throughout the SDLC. Lead engineering practices, conduct code reviews, resolve live issues, participate in Scrum activities, and collaborate across teams. Support internal onboarding to the Pipelines solution and enhance its SDLC capabilities. Use Java, Groovy, Go, cloud platforms, containers, infrastructure-as-code, CI/CD, monitoring, and related tools.

Design, develop, and optimize scalable backend systems and RESTful microservices powering millions of daily transactions. Build reliable Java-based solutions, improve performance, troubleshoot technical issues, collaborate cross-functionally, deliver high-quality products, and mentor junior engineers. The role requires expertise in distributed systems, Spring frameworks, cloud platforms, databases, messaging systems, and enterprise software design.

Lead ICT risk and resilience governance for PayPal Europe, ensuring DORA and European regulatory compliance. Oversee BCM, disaster recovery, cyber resilience testing, change oversight, ICT control assurance, incident management and regulatory reporting. Drive GRC tooling, remediation tracking, senior management reporting, stakeholder engagement, and mentor the team to embed resilience into business and technology initiatives.

Designs and manages scalable cloud infrastructure using Infrastructure as Code, AWS, Docker, and Kubernetes. Builds CI/CD pipelines, leads cloud migrations, and develops monitoring, logging, disaster recovery, and security solutions. Collaborates across departments, leads technical teams, and provides documentation, mentorship, and training. The role requires experience with Jenkins, Terraform or Ansible, AWS, Linux, scripting languages, and relational databases.

Designs, develops, tests, and maintains scalable iOS payment software and reusable libraries. Collaborates with product, engineering, quality, and operations teams to deliver reliable, high-performance solutions. Builds CI/CD processes, manages releases and security updates, resolves production performance and concurrency issues, and leads technical design reviews. The role also mentors engineers and drives coding standards and architectural alignment across teams.

Lead product strategy and roadmap development for PayPal’s global Rewards program. Use customer research, analytics, A/B testing, usability studies, and competitive analysis to define requirements and improve digital experiences. Collaborate with engineering, design, data science, and UX teams through Agile execution, launches, risk mitigation, and stakeholder communication. Monitor KPIs, profitability, budgets, and product performance across web and mobile platforms.

Design, develop, and maintain scalable backend services and APIs using Java and Spring Framework. Collaborate on projects, conduct code reviews, troubleshoot and optimize applications, and participate throughout the software development lifecycle. Handle testing, deployment, production monitoring, on-call support, documentation, mentoring, and technical discussions. The role requires at least a master’s degree and one year of relevant experience, with partial telecommuting available near Austin, Texas.

Develop and deploy advanced machine learning, generative AI, ranking, and recommendation models for personalized PayPal products and customer experiences. Build scalable near-real-time feature pipelines using Flink, Kafka, and Spark. Productionize low-latency recommendation systems and Two-Tower neural networks, conduct statistical analysis for unbiased training data, and communicate technical findings to technical and non-technical stakeholders.

Analyze complex datasets and develop machine learning models for net credit loss forecasting, reserve setting, stress testing, and risk mitigation. Design experiments, automate forecasting processes, monitor model performance, and ensure regulatory compliance with CECL/IFRS9. Partner with Finance, Risk, Collections, Strategy, and business teams to translate analytical results into decisions. Build end-to-end data pipelines, maintain documentation and version control, and support audits and model risk management.