Engineer RoleThis role demands engineers who don't just write code — they design systems, own outcomes, and relentlessly raise the bar on performance, reliability, and securityFrontend - React.js, HTML5, CSS3, TypeScript, Redux / Zustand, Webpack / ViteBackend - Node.js, Java Raptor, REST APIs, GraphQL, MicroservicesDatabases - PostgreSQL, MySQL, MongoDB, Redis, ElasticsearchCI/CD & DevOps - Jenkins, GitHub Actions, Docker, KubernetesVersion Control - Git, GitHub / GitLab — branching, PR workflows, release managementAI & ML - LLM API integration, GitHub Copilot, AI-assisted development, prompt engineeringSecurity - OAuth 2.0, JWT, TLS/SSL, PCI-DSS awareness, OWASP Top 10Observability - Datadog, New RelicKey ResponsibilitiesFrontend EngineeringArchitect and build performant, accessible, and scalable UI components using React.js with hooks, context, and advanced state management patterns (Redux, Zustand).Drive front-end best practices: component reusability, code splitting, lazy loading, and performance optimization.Collaborate with UX/Design to deliver pixel-perfect, responsive experiences aligned with PayPal's design systemBackend EngineeringDesign and develop high-throughput RESTful and GraphQL APIs using Node.js and Java Raptor in a microservices architecture.Build resilient, fault-tolerant services capable of handling PayPal-scale transaction volumes with low latency.Implement robust error handling, retry logic, circuit breakers, and observability (logging, tracing, alerting).CI/CD & DevOpsOwn the full software delivery lifecycle — from code commit to production deployment using CI/CD pipelines (Jenkins, GitHub Actions, or equivalent).Manage Git workflows: branching strategies, pull request reviews, merge policies, and release tagging.Deploy and manage services on cloud platforms (AWS, GCP, or Azure), leveraging containerization (Docker, Kubernetes).Monitor production systems, respond to incidents, and drive root cause analysis and post-mortems.Scalable ArchitectureDesign distributed systems that are horizontally scalable, highly available, and fault tolerant.Apply best practices in database design — relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) for caching and session management.Drive architectural decisions through design documents, RFCs, and tech specs reviewed across engineering teams.AI Coding & Feature ImplementationLeverage AI-assisted development tools (GitHub Copilot, Claude, ChatGPT) to accelerate feature development, code reviews, and documentation.Integrate AI/ML models and APIs (LLMs, recommendation engines, fraud detection signals) into production features.Build intelligent automation for internal tooling, workflows, or customer-facing features using AI APIs and SDKs.Stay current with applied AI trends relevant to FinTech — anomaly detection, natural language interfaces, predictive analytics.Security & ComplianceBuild with a security-first mindset: OAuth 2.0, JWT, encryption at rest and in transit, PCI-DSS awareness.Conduct and participate in code reviews with a focus on security vulnerabilities, performance bottlenecks, and maintainability.Nice to HaveExperience in FinTech, payments processingFamiliarity with event-driven architecture using Kafka, RabbitMQ, or similar.Experience with agile delivery at scale (SAFe, Scrum, Kanban).