Top Tech Jobs & Startup Jobs

Design, build, and operate scalable, fault-tolerant observability infrastructure for telemetry ingestion, storage, querying, and visualization. Work across the stack (backend, optional frontend), operate Kubernetes production systems, collaborate with SREs and platform teams, participate in on-call rotations, perform design reviews and post-incident retrospectives, and contribute to open-source observability projects.

Monitor and improve the reliability, availability, scalability, and performance of eBay’s global services. Develop monitoring and incident-mitigation tools, collaborate with engineering and operations teams, resolve recurring technical issues, onboard alerts, create operating procedures, conduct reliability audits, and lead major incident response as Incident Commander.

Build and operate reliable, scalable, and high-performing systems at global scale. Responsibilities include proactive service monitoring, developing reliability solutions, improving observability and incident-management tools, conducting reliability audits, creating operational procedures, resolving recurring issues, and serving as Incident Commander during major incidents. The role requires software engineering experience, programming skills, cloud and Kubernetes familiarity, infrastructure-as-code knowledge, observability expertise, and strong crisis leadership.

Build and operate resilient, high-performance services at scale: monitor service health, develop reliability solutions and tooling, run reliability audits and incident management, create SOPs, and collaborate with engineering and architecture teams.

The Staff Full Stack Engineer will design, develop, and maintain scalable applications and APIs, lead architectural decisions, enhance advertising features using AI, and engage in technical discussions within an Agile team environment.

Manages client relationships for Goldin.com, providing customer service, resolving issues, coordinating with internal teams, and supporting client satisfaction and retention. The role also identifies automation opportunities, prepares client and team reports, and manages multiple collectibles-industry accounts. Candidates should understand memorabilia, sports cards, and trading card games, with experience in e-commerce, collectibles, or related specialty markets.

Build and maintain high-scale full-stack advertising and marketing technology applications, APIs, services, and data-driven features. Responsibilities include system design, architecture, deployment, production support, technical decision-making, AI-assisted development, LLM integrations, distributed systems, and collaboration with product, design, analytics, and machine learning teams. The role also involves mentoring engineers and contributing to engineering best practices.

Build and own scalable backend services, APIs, and advertising and marketing platform features for eBay. Responsibilities include system design, architecture, distributed systems, event-driven development, database optimization, production support, AI-assisted development, and collaboration on LLM-powered features. The role also involves mentoring engineers, leading technical decisions and design reviews, supporting Agile delivery, and partnering across product, analytics, applied science, and engineering teams.

Designs and delivers scalable backend services, APIs, advertising and marketing platform features, and distributed systems. The role owns architecture, technical design, deployment, production support, and cross-team alignment. Responsibilities include event-driven development, database optimization, AI-assisted engineering, LLM integrations, collaboration with machine learning teams, mentoring, and participation in Agile and open-source practices.

Design, build, and support scalable backend services, APIs, and advertising and marketing platform features. Own complex features from architecture through production, make distributed-systems tradeoffs, and collaborate across engineering, product, analytics, and applied science teams. Develop event-driven systems, optimize databases, leverage AI-assisted development tools, and contribute to LLM-powered features. Mentor engineers, lead design reviews, and promote reliable, maintainable software delivery.