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We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
Design, implement, and maintain the linking graph database that tracks relationships between all SEO-managed pages
Optimize graph schema and data models for high performance on complex queries and large-scale datasets
Develop automated pipelines to ingest, normalize, and update page metadata and link relationships from multiple data sources
Build and maintain RESTful APIs or microservices that enable internal tools and dashboards to query the linking graph efficiently
Implement scalable indexing, caching, and partitioning strategies to support rapid traversal and analytics workloads
Write clean, well-documented code for ETL processes, data validations, and custom data processing tasks
Stay current with best practices and emerging tools in graph database technology (e.g., Neo4j, Amazon Neptune), recommending upgrades or migrations as appropriate
Architect and maintain scalable graph-database infrastructure to support dataset growth
Define and oversee health monitoring, maintenance routines, and troubleshooting workflows for high availability
Establish and enforce data-integrity frameworks—indexing, partitioning, and validation—to ensure accurate link relationships
Drive capacity planning and forecasting to guarantee seamless infrastructure scaling as usage increases
Lead software modernization efforts, including upgrades, migrations, and architectural enhancements, to sustain performance
Mentor and onboard junior engineers, sharing best practices for backend development, data modeling, and SEO-focused engineering considerations
Align engineering deliverables with cross-functional SEO initiatives, ensuring technical work supports strategic business goals and performance KPIs
Passion and commitment to technical excellence, with a focus on graph database solutions
B.Sc. or M.Sc. in Computer Science (or equivalent practical experience)
7+ years of software design and development experience, solving complex problems in backend services—preferably involving graph data models and pipelines
Strong fundamentals in Data Structures, Algorithms, Object-Oriented Programming, and Software Design, applied to graph-based architectures
Production-grade coding expertise in Java and Python/Scala, including integration with graph databases (e.g., Neo4j, Amazon Neptune)
Strong mentorship and collaboration skills, with the ability to influence technical direction and foster cross-functional alignment
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What you will accomplish :
Design, deliver, and optimize high-performance, large-scale applications, data pipelines, and ML service infrastructure with exceptional speed and reliability.
Enhance core products by skillfully integrating, fine-tuning, and deploying advanced machine learning models for optimal performance and impact.
Command the full software development lifecycle—from initial design and architecture to coding, testing, deployment, and maintenance—while producing clean, efficient, and documented code.
Develop and execute sound technical strategies for complex projects, taking into account business goals, timelines, and long-term impact.
Work closely with product managers and partners to translate business requirements into robust technical solutions, ensuring alignment across teams.
Take ownership of cross-team engineering efforts and guide junior team members, setting a high standard for technical excellence and professional growth.
Drive innovation by developing novel solutions to challenging problems and actively contribute to a culture of knowledge sharing by both teaching and learning from others.
What you will bring :
Masters in Computer Science or a related field with 7+ years of experience (or BS/BA with 8+ years) in building large-scale distributed applications and backend services.
A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design/architecture, and core Statistics knowledge
Experience in the close examination of data, computation of statistics, and deriving of data insights
Proven experience designing and operating Big Data processing pipelines (Hadoop, Spark) and working with NoSQL databases or key-value stores (e.g., MongoDB, Redis).
Hands-on experience with the end-to-end lifecycle of machine learning, including model deployment and application at scale. Experience in AI research or industrial recommendation systems is a significant plus.
Experience with cloud services and familiarity with Large Language Models (LLMs) or prompt engineering is highly desirable.
A passion for technical excellence, excellent communication skills, and a "can-do" attitude with a willingness to learn and master new technologies.
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Responsibilities:
Vertex O Series Configuration:
Lead the design and configuration of Vertex O Series for indirect tax calculation including Sales & Use Tax, VAT, GST and other relevant tax types.
Configure Vertex O Series to meet business requirements, including tax payers, taxability rules, rates, exemption certificate management and more.
Develop and implement robust tax rules for various global jurisdictions, understanding their unique indirect tax regulations.
Work closely with finance, product, and engineering teams to translate business needs into effective Vertex O Series solutions.
Vertex Setup & Management:
Provide essential support for the on-premise installation, configuration, and ongoing management of our Vertex O Series application.
Apply monthly Vertex tax content updates (rates, rules, jurisdictions) and perform associated testing to ensure accuracy and compliance.
Troubleshoot and resolve tax calculation errors, data discrepancies, technical and performance issues.
Manage user access, roles, and permissions within the Vertex O Series on-premise environment.
Documentation & Training:
Create and maintain detailed documentation for Vertex O Series configurations chang es.
Train internal teams on Vertex O Series functionality and best practices.
Technical Operations & Development:
Set up and manage ETL jobs, and update associated scripts to ensure accurate data flow for reporting.
Develop and deploy backend services using Java, Spring Framework to establish comprehensive auditing and data mirroring capabilities for data analysis and verification.
What you will bring:
Bachelor's Degree in Computer Science or closely related field with 8 years of relevant experience or MS with 6 plus years’ experience
Specializing in Tax to innovate and change the eBay Payments experience
Expertise in Tax software solutions like Vertex or similar.
Experience with SQL and relational databases as well as NoSQL databases such as MSSQL, PostgreSQL, Dynamo
Unit test with mock (Jest or Jasmine preferred) , Automation testing is a plus.
Understanding of how to create modular and extensible APIs.
Proficient at using appropriate security, documentation, and/or monitoring best practices.
Familiar with Agile/Scrum methodologies
Experience in fixing accessibility issues is a plus.
1+ years of experience in applying AI to practical and comprehensive technology solutions [Nice to Have]
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What you will accomplish:
What you will bring:
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Responsibilities
Architecture & Development: Design, develop, and maintain scalable backend services and front-end applications that power eBay’s next-generation systems.
System Design: Drive architectural decisions, ensuring system scalability, security, and fault tolerance.
Full-Stack Ownership: Work across the stack—developing RESTful APIs, microservices, databases, and intuitive front-end interfaces.
Collaboration: Partner with product managers, architects, and cross-functional engineering teams to deliver end-to-end solutions.
Best Practices: Champion coding standards, secure development practices, and CI/CD automation.
Mentorship: Guide junior engineers through code reviews, design discussions, and knowledge-sharing sessions.
Innovation:
Qualifications
Education: Bachelor’s degree in computer science, Engineering, or related fields.
Experience: 8–10 years of professional software engineering experience with demonstrated expertise in full-stack development.
Technical Skills:
Backend: Expertise in Node.js, Java , or similar backend frameworks. Strong experience with microservices, RESTful APIs, event-driven architectures , and OpenAPI Specification for API design and documentation.
Frontend: Proficiency with React.js (or similar modern frameworks) and strong UI/UX sensibilities .
Databases: Deep knowledge of SQL and NoSQL databases .
Cloud & DevOps: Familiarity with AWS, GCP, Azure or Private cloud as well as containerization ( Docker, Kubernetes ) and CI/CD pipelines .
Security & Performance: Strong grasp of secure coding practices, scalability, and performance optimization .
Version Control: Proficiency with Git and collaborative workflows.
Soft Skills: Strong problem-solving and analytical skills.
Preferred Skills
Familiarity with traffic management UI applications.
Contributions to open-source projects.
Experience in Agile methodologies.
Benefits
Competitive salary and benefits.
Professional growth and advancement opportunities.
Access to the latest tools and technologies.
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We’re seeking a Member of Technical Staff 1 (Software Engineer) who can work independently and is an expert in distributed systems . You’ll design and deliver well-scoped services and features that advance eBay’s Core Data Platform—improving scalability, reliability, and developer experience. This role is Data Platform Engineering not data engineering ): you’ll build and evolve the platform itself rather than author application pipelines.
Independently design, implement, and ship distributed services and features end-to-end (design → code → tests → deploy → operate).
Build core platform capabilities across ingestion, streaming, lakehouse/warehouse, catalog, and governance .
Write production-grade code with strong observability (metrics, logs, traces) and SLOs , and participate in on-call for the services you own.
Diagnose and resolve performance, scalability, and correctness issues in distributed environments.
Contribute design docs for your areas; participate in reviews to uphold reliability, security, and cost best practices.
Collaborate with product, infra, and analytics teams to align technical work with business outcomes.
6+ years of professional software engineering experience (or equivalent impact).
Expertise in distributed systems fundamentals (consensus, replication, partitioning, consistency models, fault tolerance) and practical experience building and running such systems in production.
Strong coding skills in Java/Python and familiarity with CI/CD .
Hands-on with some of: Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .
Proven ability to work independently , make sound tradeoffs, and deliver quality outcomes with minimal supervision.
Solid debugging, performance analysis, and system design skills.
multi-tenant platform services, data governance, or privacy-by-design controls.
Contributions to open-source distributed systems or data platforms.
ships independent, well-scoped features/services to production with strong reliability.
Demonstrably improves throughput/latency/cost or availability/SLOs on owned services.
Becomes a go-to engineer for distributed-systems debugging and design conversations within the team.
Maintains high code quality, test coverage, and quality-in-release metrics.
Impact at scale: Your platform work powers analytics and ML across a global marketplace.
Hard problems: Streaming freshness/correctness, storage/compute efficiency, multi-region resiliency.
Collaborative culture: Inclusive team that values autonomy, craftsmanship, and knowledge sharing.
Growth:
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What you'll do and learn:
Translate requirements to software design and create clean, efficient, extensible, maintainable code.
Practices evidence-centered design making features testable, ensuring high quality and improving velocity in continuous delivery.
Manage project features, break into sub-tasks, identify and resolve issues for efficient execution.
Provide technical guidance, code review for immediate team and other teams, coaching, and mentorship to individual team members.
Identify gaps and issues across systems and functional areas, propose solutions, build the engineering roadmap, and drive resolution.
Leads and improves E2E testing quality and increases delivery velocity across features.
Responsible for sub-systems within a large domain, possessing in-depth knowledge and expertise. Taking full responsibility for the entire software life cycle, including design, development, testing, deployment, observability and monitoring.
Serve as a key player in influencing and guiding others towards the right technical decisions.
Identifying areas of features likely to change and integrating flexibility in the design for these areas improving engineering velocity.
Collaborate effectively with cross-functional partners to develop innovative solutions that adhere to development goals and principles.
What you bring:
Innovative, team player, excellent communication and decision-making
Strong sense of ownership and interpersonal skills to work effectively across teams
Strong learning ability, self-driven
Excited about new and innovative technologies within immediate field of expertise
Learning transferable skills
Qualifications:
Bachelor's degree in EE, CS or other related field.
6+ years of experience in working in Java
Competency and experience in GraphQL, Spring/Springboot, REST APIs, messaging systems and/or other backend programming languages.
Building data-driven applications (RDBMS, NoSQL, ElasticSearch)
Building event driven applications (RabbitMQ, Kafka etc)
Delivers results in fast-paced environments (agile, TDD, CI/CD)
These jobs might be a good fit

We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
Design, implement, and maintain the linking graph database that tracks relationships between all SEO-managed pages
Optimize graph schema and data models for high performance on complex queries and large-scale datasets
Develop automated pipelines to ingest, normalize, and update page metadata and link relationships from multiple data sources
Build and maintain RESTful APIs or microservices that enable internal tools and dashboards to query the linking graph efficiently
Implement scalable indexing, caching, and partitioning strategies to support rapid traversal and analytics workloads
Write clean, well-documented code for ETL processes, data validations, and custom data processing tasks
Stay current with best practices and emerging tools in graph database technology (e.g., Neo4j, Amazon Neptune), recommending upgrades or migrations as appropriate
Architect and maintain scalable graph-database infrastructure to support dataset growth
Define and oversee health monitoring, maintenance routines, and troubleshooting workflows for high availability
Establish and enforce data-integrity frameworks—indexing, partitioning, and validation—to ensure accurate link relationships
Drive capacity planning and forecasting to guarantee seamless infrastructure scaling as usage increases
Lead software modernization efforts, including upgrades, migrations, and architectural enhancements, to sustain performance
Mentor and onboard junior engineers, sharing best practices for backend development, data modeling, and SEO-focused engineering considerations
Align engineering deliverables with cross-functional SEO initiatives, ensuring technical work supports strategic business goals and performance KPIs
Passion and commitment to technical excellence, with a focus on graph database solutions
B.Sc. or M.Sc. in Computer Science (or equivalent practical experience)
7+ years of software design and development experience, solving complex problems in backend services—preferably involving graph data models and pipelines
Strong fundamentals in Data Structures, Algorithms, Object-Oriented Programming, and Software Design, applied to graph-based architectures
Production-grade coding expertise in Java and Python/Scala, including integration with graph databases (e.g., Neo4j, Amazon Neptune)
Strong mentorship and collaboration skills, with the ability to influence technical direction and foster cross-functional alignment
These jobs might be a good fit