

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

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 - $146,900
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 - $120,700
Job Description:
Intermediate SOC Analyst (L2)
Key Responsibilities:
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires
(at a minimum) the following qualifications:
Additional qualifications that could help you succeed even further in this role include:
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

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 - $247,800
What You'll be Doing:
Build system hardware products around GPU & Tegra SoC.
Collaborate with cross-function team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects.
Drive initial test and bringup, lead the debug efforts.
Create schematic, supervise PCB layout and system validation.
Handle documentation required to release the product to manufactures and partners.
Optimize/invent circuits, functions for better performance, and lower cost.
Improve the design flow together with the infrastructure team.
What We Need to See:
Recent graduate with a B.S or M.S. in Electrical Engineering or equivalent experience.
Have strong analytical skills including past experience in PCB design and review.
Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers.
Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS’s
Strong verbal and written skills.
You will also be eligible for equity and .

What you'll be doing:
Work with architects, designers, and performance engineers to develop an energy-efficient GPU.
Identify key design features and workloads for building Machine Learning based unit power/energy models.
Develop and own methodologies and workflows to train models using ML and/or statistical techniques.
Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.
Develop methodologies to estimate data movement power/energy accurately.
Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.
Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.
Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.
Prototype new architectural features, build an energy model for those new features, and analyze the system impact.
Identify, suggest, and/or participate in studies for improving GPU perf/watt.
What we need to see:
Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, Computer Scienceor equivalent experience.
Strong coding skills, preferably in Python, C++.
Background in machine learning, AI, and/or statistical modeling.
Background in computer architecture and interest in energy-efficient GPU designs.
Familiarity with Verilog and ASIC design principles is a plus.
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
Good verbal/written communication and interpersonal skills.
You will also be eligible for equity and .

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