Top Tech Jobs & Startup Jobs

Supports Korean sellers operating internationally on eBay through email and phone channels. Responsibilities include resolving seller inquiries, providing consulting and performance support, identifying upselling and cross-selling opportunities, collecting feedback, improving support processes, building seller relationships, and collaborating with global technical and business operations teams.

Build and maintain scalable backend services, APIs, and web applications for eBay Seller Hub. Lead projects from technical design through implementation, testing, rollout, and iteration. Collaborate with product managers, designers, and engineers to deliver customer-facing seller experiences, contribute to system architecture, write well-tested code, and improve engineering standards across orders, listings, acquisition, and other seller workflows.

Leads data science strategy, standards, experimentation, metrics, and analytics delivery for eBay Live. Owns a major domain such as buyer or seller analytics, trust and safety, data foundations, or business performance. Establishes rigorous methodologies, oversees cross-functional programs, develops scalable measurement assets, guides risk modeling and experimentation, and communicates insights to executive stakeholders. Mentors analytics leaders, drives organizational alignment, and promotes AI and machine learning innovation.

Leads eBay Live’s data science and analytics strategy, managing analysts and data scientists to drive customer insights, product growth, experimentation, and business decisions. Develops analytical frameworks, metrics, dashboards, statistical methods, and data capabilities while partnering with infrastructure, product, marketing, technology, and finance teams. The role also oversees recruiting, mentoring, team development, executive communication, and cross-functional execution.

Lead end-to-end data science and experimentation for eBay Live, covering product analytics, marketplace modeling, risk signals, instrumentation, dashboards, and business performance. Mentor data scientists, establish analytical quality standards, partner with engineering on scalable data solutions, apply AI/ML where appropriate, and present evidence-based recommendations to senior leaders.

Design, build, and operate high-assurance cryptographic services and libraries (encryption, signatures, key management, PKI) for large-scale distributed systems. Integrate cryptography into Java services (JCA/JCE, J2EE), work with hardware-backed modules (PKCS#11, KMIP, TPM 2.0), lead threat modeling and security reviews, and improve performance, scalability, and resilience of cryptographic operations.

Develop and operate reliable, scalable cloud platforms supporting eBay applications. Responsibilities include Kubernetes infrastructure, observability, incident response, root cause analysis, performance optimization, CI/CD improvements, and operational automation. The role requires strong Go or Python programming, distributed systems expertise, API design knowledge, and experience building high-availability production infrastructure.

Build and maintain cryptographic libraries, PKI and certificate-management services, secure key-management integrations, and platform security components. The role develops production-grade software using public-key cryptography, supports testing, monitoring, CI, reliability, and scalability, and participates in threat modeling and security reviews. It requires strong programming skills, secure distributed-systems design, and independent ownership of components through production support.

Supports the design, development, and maintenance of traffic management solutions and scalable network systems. Develops high-performance applications using C++ and Go, manages Kubernetes networking through CNI and IPAM, oversees service mesh capabilities, and maintains CI/CD pipelines. Collaborates with cross-functional teams, contributes to open-source projects, and helps optimize network performance, scalability, and security.

Lead and mentor a cloud engineering team that builds and operates one of the largest private Kubernetes-based clouds. Own lifecycle management, scalability, reliability, security, automation, and collaboration with SRE, operations, fleet, product, and security teams to deliver cloud-native infrastructure and developer-facing platforms.