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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'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)
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What Will You Do
We are looking for exceptional engineering tech leaders and architects, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
Architect scalable data pipelines processing billions of items, integrating ML models.
Design low-latency search/IR services on datasets of hundreds of millions of items.
Craft API designs and drive integration between data layers and customer-facing applications.
Design and run A/B tests in production to measure new functionality impact.
Job Responsibilities
Architect and drive strategic evolution of data pipelines, ML frameworks, and service infrastructure.
Define and lead performance optimization strategies for critical systems.
Collaborate on project scope and define long-term architectural vision.
Develop and champion technical strategies aligned with business objectives.
Lead cross-functional architectural initiatives, ensuring coherent solutions.
Establish and champion organization-wide knowledge sharing and best practices.
Minimum Qualifications
Passion and commitment for technical excellence
B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
8+ years of software design, architecture, and development experience, tackling complex problems in backend services and / or data pipelines
Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design
Architectural expertise in production-grade systems using Java, Python/Scala.
Strategic design and operational leadership of large-scale Big Data processing pipelines (Hadoop, Spark).
Proven ability to resolve complex architectural challenges in production software systems.
Executive-level communication and collaboration skills for influencing technical direction.
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Lead a diversely skilled team members comprising of engineers, ML developers and product owners.
Drive engineering initiatives that enhance risk management and transaction security, ensuring a customer-centric approach and excellent developer experience.
Collaborate with cross-functional teams to integrate robust technical solutions aligned with business objectives and focused on customer needs.
Mentor and develop team members, fostering a culture of continuous learning and growth with emphasis on hiring and retaining top talent.
Execute eBay’s Risk engineering strategies to achieve measurable performance improvements and optimize developer experience.
Innovate and influence the adoption of market-leading technology capabilities, rapidly evaluating and scaling new technologies where appropriate.
Lead cross-team collaborations that support eBay’s overall business metrics.
At least 12 years of experience in software development, with the latest 4 years as an Engineering Manager.
Hands-on experience with technologies like Java, JEE, Spark, Hadoop, Apache Flink, RDBMS, NoSql.
Extensive experience in software development, especially within risk management platforms or related fields.
Strong technical expertise in solution design patterns, data systems, and machine learning frameworks.
Proven leadership skills with the ability to mentor and guide engineering teams.
Excellent communication skills to translate and distill complex technical concepts for various audiences.
Willingness to travel as needed for this role to collaborate with global teams.
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What you will accomplish:
Lead the design and management of the full lifecycle for our cloud-native products and services. You will build intuitive UIs and customized CLIs to support diverse eBay applications, including frontend, backend, database, and emerging technologies like Machine Learning and GenAI.
Continuously adapt and integrate the latest open-source technologies (e.g., Kubernetes) to build a platform that guarantees our applications are reliable, efficient, and scalable while meeting our security and operational standards.
Engineer robust automation and diagnostic tools in Go and Java to streamline platform operations.
Collaborate closely with internal teams to ensure the seamless validation, adoption, and integration of the eBay Cloud platform.
Architect and deploy robust observability frameworks that monitor application health, enabling proactive issue resolution and ensuring peak performance and security.
What you will bring:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Minimum of 5 years of hands-on experience in cloud platforms, with a strong focus on building cloud-native applications and developing platforms that support their entire lifecycle.
Proficient in programming with Java, Go, or Python.
Deep expertise in orchestrating containerized applications and building scalable, reliable cloud lifecycle management systems.
Skilled at identifying system-level gaps and cross-functional issues, proposing effective solutions, and driving end-to-end resolution.
Demonstrated ability to lead and mentor team members, manage small projects, and collaborate effectively across teams to drive impactful change.
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What You Will Accomplish:
What You Will Bring:
These jobs might be a good fit

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.
These jobs might be a good fit