

Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800משרות נוספות שיכולות לעניין אותך

What you will accomplish:
What you will bring:
Qualification Preferences:
The base pay range for this position is expected in the range below:
$70,000 - $120,700משרות נוספות שיכולות לעניין אותך

Are you excited to:
Develop and maintain sanctions systems, understanding their operations and alignment with the sanctions risk appetite.
Drive sanctions screening re-calibration.
Define and drive sanctions screening requirements in collaboration with the product management team.
Assist the business in identifying and understanding Sanctions risk exposures.
Analyze business data to identify trends and assess potential Sanctions risks.
Review escalations from ongoing screening processes for Sanctions nexus.
Qualifications:
2+ years of compliance experience in fin-tech, start-ups, technology, or emerging financial services, 5+ Sanctions program experience.
Material experience with sanctions screening tool requirements, testing, calibration, and documentation.
Knowledge and experience with OFAC and non-US Sanctions laws, regulations, and compliance requirements (including reporting and record retention).
Strong organizational skills with project management experience.
Ability to thrive in a fast-paced, dynamic, and time-critical environment.
Strong interpersonal, analytical, and problem-solving skills.
Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
The base pay range for this position is expected in the range below:
$84,800 - $146,900משרות נוספות שיכולות לעניין אותך

Job Summary
The AML Governance, Sr. Analyst, will play a key role in supporting eBay’s robust governance and oversight framework for the Anti-Money Laundering (AML) Compliance Program. This position centers on supporting core governance functions such as:
Required Qualifications
Preferred Qualifications
The base pay range for this position is expected in the range below:
$70,000 - $120,700משרות נוספות שיכולות לעניין אותך

What you’ll be doing:
Critical member of revenue forecasting processes and conduct detailed variance analysis to deliver actionable insights in a fast-paced, high-growth environment.
Build and maintain dynamic financial models to project revenue, costs, and gross margins, supporting strategic planning and performance management.
Analyze complex financial data and trends to provide clear, data-driven recommendations to senior leadership and cross-functional business partners.
Champion continuous improvement initiatives in financial reporting by implementing automation and optimizing reporting processes.
Ensure accurate and timely financial reporting in accordance with the FP&A calendar and quarter-end close requirements, maintaining high standards of data integrity and compliance.
What we need to see:
12+ overall years of financial planning experience, especially with data analytics and data modeling of a business unit, supporting a global, high-tech corporation.
Bachelor’s degree or equivalent experience in Finance, Economics, Business; MBA a plus.
Expert analytical skills and advanced financial modeling techniques in Excel, with ability to build and convey business insight.
Define new processes and analytics as well as influence business decisions.
Ability to improve and streamline manual processes and drive efficiency.
Strong leadership, interpersonal, and communication skills, including effective communication at all levels within the Company.
Ways to stand out from the crowd:
Expert analytical and complex financial modeling skills, critical thinking and problem-solving skills.
Experience collaborating across a large organization to influence change.
Excellent communication and interpersonal skills, with proven ability to build successful relationships and partner with all levels of a company’s organization.
Creative and innovative leader with a positive approach and a focus on business solutions.
Experience with SAP, SFDC, Tableau and BI Tools applications.
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך

What you’ll be doing:
Lead financial planning and analysis for the global Hardware Engineering organization, driving forecasting, budgeting, and investment optimization.
Oversee engineering inventory management, including forecasting, reserve analysis, and excess material reviews.
Manage global engineering lab investments by planning equipment purchases based on company roadmaps and partnering closely with engineering leaders to ensure alignment with development priorities.
Develop and maintain dynamic financial reporting frameworks covering budget, forecast, and variance analytics that improve visibility and decision-making.
Leverage Artificial Intelligence and automation tools (such as Claude, Perplexity, Copilot, Databricks, Alteryx, and Power BI) to build scalable data models, dashboards, and analytical reports that generate actionable business insights.
Drive process improvements that enhance accuracy, efficiency, and transparency across engineering finance operations.
What we need to see:
Bachelor’s degree in Finance, Data Science, Engineering, or a related field (or equivalent experience); MBA or advanced degree preferred.
5+ years of experience in financial planning and analysis, preferably within a global high-tech or manufacturing organization.
Proven expertise in data analytics and financial modeling, including proficiency in tools and programming languages such as Python, SQL, or similar.
Strong understanding of accounting principles and experience with financial ERP systems (SAP experience a plus).
Exceptional analytical, problem-solving, and business partnership skills with the ability to translate complex data into clear, actionable insights.
Ways to stand out from the crowd:
Semiconductor and/or manufacturing experience in tech.
Genuine curiosity in STEM and eagerness to learn new things.
Strong understanding of industry technology and market dynamics in areas directly related to NVIDIA’s products, research and development.
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך

What You’ll Be Doing:
Lead and manage aspects of silicon business operations, including wafer and advance packaging supply chain management, capacity, pricing, and contract negotiations, product roadmap influence, and relationship management. Help shape and influence our production process decisions to ensure flawless execution and world-class results.
Assist with business negotiations including preparation of RFQs for product tape out awards, pricing, capacity allocations, and other key business drivers.
Assist the business team, ensuring they are equipped to meet our operational goals and respond to challenges with agility.
Thrive in problem-solving and react swiftly to issues, maintaining the seamless flow of operations in a dynamic environment.
Influence upper management by highlighting competitive technologies, ensuring timely decisions that support our business objectives.
Partner with suppliers to secure expedites, supporting new product ramps and mitigating urgent shortages.
Resolve capacity constraints by collaborating with suppliers, internal planning, and engineering teams, ensuring smooth operations and minimal disruptions.
Work closely with the BU, Engineering, and Ops teams on advance packaging roadmaps and production ramps, aligning efforts to mitigate potential risks and ensure successful product launches.
Manage foundry partner relationships and be a key individual to initiate/handle escalations.
What We Need to See:
Equivalent experience in Engineering, preferably Electrical, Mechanical, or Chemical Engineering, will be considered in lieu of a Bachelor’s degree. An advanced degree or equivalent is a plus. A strong technical foundation will provide the vital expertise for this role.
MBA or demonstrated financial expertise through proven experience. Ability to apply financial principles will be invaluable in driving efficiency and cost reduction.
15+ yrs of relevant experience in semiconductor operations, with a preference for fab environments (e.g., TSMC, UMC). Previous experience in the semiconductor industry will ensure a smooth transition into this role. Knowledge of advanced packaging processes is a major plus.
Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
Strong leadership and team management skills, with a record of successfully leading cross-functional teams. Encouraging and motivating teams will be critical in achieving our goals.
Excellent communication and interpersonal skills, with a proven ability to collaborate effectively with individuals both inside and outside the organization. An ability to connect with others will be key in building and sustaining successful partnerships.
Expertise in supply chain management, production planning, and logistics within the semiconductor industry. Possessing a deep understanding of these areas is crucial for improving our operations.
Ways to stand out from the crowd:
Familiarity with collaborator companies in semiconductor manufacturing. Existing relationships will provide a strong foundation for success in this role.
Forward-thinking with the ability to plan for future opportunities. Proactive approaches will help us prepare for upcoming developments in our operations.
Strong project management and negotiation skills. Ability to manage projects and negotiate agreements effectively will be highly valued.
Familiarity with industry trends, market conditions, and competitive landscape.
Consistent track record of driving operational excellence and continuous improvement. A sustained history of delivering outstanding results will set you apart.
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך

Senior MTS Software Engineer, Data Platform
Job Type: Full-time
About the RoleWe are seeking Data Platform Software Engineers, not Data Engineers . While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines.
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform at eBay.
Architectural Leadership: Own and evolve the architecture for core data platform systems, ensuring solutions are scalable, secure, maintainable, and in alignment with enterprise standards.
System Design: Eliminate duplication across systems and ensure clear responsibility boundaries; align systems with business needs and future scalability.
Engineering Excellence: Champion clean architecture, promote use of modern frameworks, enforce quality gates, and ensure adherence to design patterns and coding standards.
Lead by Example: Write reference implementations, contribute to core libraries, and conduct in-depth code reviews to influence standards and uplift team capabilities.
Cost Optimization: Propose and drive engineering solutions that reduce operational overhead, improve resource efficiency, and automate manual processes.
Framework Development: Find opportunities to build reusable components, services, and frameworks that accelerate feature delivery across the organization
Modernization: Lead migrations of legacy systems into modern architectures and cloud-native paradigms with minimal disruption and high impact.
Collaboration: Drive complex technical discussions, build consensus across engineering, product, and operational teams, and ensure smooth delivery of cross-functional projects.
Documentation & Governance: Create well-structured Architecture Decision Records (ADRs) and contribute to technical documentation and standards.
Proactively address performance, security, compliance, and future-proofing of solutions while balancing latency, correctness, scale, and cost.
Raise the engineering bar through design/code reviews, operational excellence (SLOs, observability, incident management), and scalable practices that increase velocity across teams.
Mentorship: Act as a technical mentor, guiding senior and junior engineers on architecture best practices and advanced problem-solving.
Introduce AI-first frameworks and reusable components that reduce developer friction and enable faster iteration.
Automate diagnostics, monitoring, and remediation using intelligent assistants and prediction-based alerting.
Excellent in interpersonal communication
What you bring
Extensive experience owning large-scale distributed data platforms (multi-PB data, high-throughput streams, global systems).
Deep systems approach : you anticipate bottlenecks, design for reliability (reprocessing, idempotency, schema evolution), and think holistically across compute, storage, and APIs.
Excellent decision-making and communication skills , thriving in ambiguity while aligning diverse stakeholders on the right path forward.
Security and compliance mindset , including data privacy, RBAC/ABAC, encryption, and auditability — with the ability to partner with compliance teams on regulatory requirements.
Proven leadership in mentoring engineers, shaping team culture, and driving organizational change in engineering practices.
Growth mindset
High-impact mission : You will build and modernize eBay’s Data Platform, which powers analytics, experimentation, machine learning, personalization, and trust and compliance on a global scale.
Challenging technical problems : From real-time streaming at scale, to lakehouse correctness, governance, cost and performance optimization, and multi-cloud resiliency.
Vibrant culture : A collaborative, transparent, and inclusive environment where diverse perspectives are valued, knowledge sharing is encouraged, and every engineer has a voice.
Flexibility & support : Hybrid/remote-friendly practices, competitive compensation, global benefits ( ), and support for learning resources, conferences, and career development.
Always-on responsibility with balance
Qualifications
12+ years of experience in building and operating large-scale distributed systems, with 5+ years as a staff/architect-level technical lead across multiple domains.
Proven success in driving technical strategy and roadmaps , authoring architecture and technical vision documents, and aligning stakeholders across engineering, product, and compliance.
Strong foundation in data structures, algorithms, and distributed systems design .
Proficiency in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments.
Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow.
Experience building both streaming and batch data platforms , improving reliability, quality, and developer velocity.
Demonstrated ability to mentor senior engineers, influence org-wide practices , and make long-term architectural decisions that unlock measurable business outcomes.
BS/MS in CS or equivalent practical experience.
The base pay range for this position is expected in the range below:
$152,400 - $247,800משרות נוספות שיכולות לעניין אותך