דרושים ב-Ebay ב-India, Bengaluru

You will lead the architecture and delivery of our AI-native analytics applications, integrating insight generation with robust, scalable platform design . This role combines hands-on technical leadership with an analytical product mindset - crafting interactive agentic experiences that reason over data, generate insights, and accelerate decisions.

You’ll own the frontend and middleware layers powering our analytics agents - from React-based interfaces that blend charts, chat, and narrative, to API orchestration layers that retrieve, ground, and validate data through LLMs. You’ll lead by code, by architecture, and by influence - setting patterns, mentoring, and collaborating with analysts, data scientists, and PMs to ship meaningful outcomes fast.

Architect the intelligence layer

• agentic workflows that connect user intent to data - integrating chat, worksheets, streaming, and visual explanations.

• Define the application and service architecture for how AI retrieves, reasons, and presents insights (tool use, citations, schema validation).

Build for analytics at scale

• Build the orchestration layer that connects user interactions to AI reasoning - handling auth, rate limits, experiments, and data retrieval pipelines.

• Establish data contracts and APIs that unify metrics, events, and visualizations across analytics domains.

Elevate the user experience

• Drive performance, accessibility, and visualization excellence with standardized components and fast, reliable UI states.

• Champion data storytelling - enabling users to go from metric → narrative → action.

Make AI analytics safe and trustworthy

• Implement grounding (RAG), output validation, PII scrubbing, prompt-injection defenses, and human-in-loop review patterns.

• Optimize for observability - OpenTelemetry, tracing, latency/cost dashboards, and model performance analytics.

Grow and scale the team

• Mentor teams to prototype fast, validate with data, and evolve solutions through evidence-based iteration.

• Work with eBay Engineering team, AI platform team, Legal to productionalize new use cases.

• 5+ years building data-intelligent applications ; 2+ years shaping the design and direction of complex, insight-driven products.

• Deep experience with React and the visual language of data - interactive charts, responsive layouts, and dynamic states.

• Strong grasp of service design and orchestration - building APIs and interaction layers that connect user intent to AI reasoning (e.g. FastAPI).

• Proven experience with LLM-powered systems - tool/function calling, vector search, schema validation, and performance optimization.

• Familiar with modern analytics patterns - self-serve exploration, experimentation, metric stores, and KPI workflows.

• Solid grounding in observability, security, and privacy - with an emphasis on transparency, traceability, and data trust.

• An articulate systems thinker with a product mindset and clear communication style.

• Experience with design systems and charting libraries (e.g. Highcharts, Plotly).

• Background in BI or analytics platforms (e.g., Looker, Mode, Amplitude, Tableau).

• Familiarity with models and software deployment (e.g. Kubernetes).

• Hands-on experience implementing agent analytics or AI copilots for data exploration.

• agentic UI that fuses chat, visualization, and live data into one seamless insight experience.

• A resilient, observable backend that keeps agents reliable, secure, and cost-efficient.

• Noticeably faster time-to-insight and growing active usage

You will be responsible for creation of concept, design, development, testing and maintenance of applications for reliability, security, manageability, scalability, extensibility, performance, and re-use; provides technical expertise in the areas of architecture, design, and implementation. Works with technical and business team members to create excellent software. You will help determine the best implementation that will meet the design of the Application Architect. Ensures that thorough unit and component testing is carried out. Sets and adheres to software coding and style guides to ensure consistency.

What you will accomplish:

• Design and architect scalable, highly available, and fault-tolerant systems
• Own the development and optimization of our core applications using Python & Java, ensuring high-quality standards are maintained
• Work closely with cross-functional partners to understand requirements and translate them into effective technical solutions
• Ensure security best practices are coordinated into our development and deployment processes
• Stay current with new Python/Java/JavaScript development, and architectural standard methodologies
• Manage a team of technical professionals to align, commit & deliver common purpose of this team
• Lead by example, giving high-quality code reviews, and encouraging a culture of excellence and continuous improvement

What you will bring:

• Experience in building large scale Web Services and Backend Applications using Java/J2EE, RESTful Web Services, HTTP and JSON technologies
• A minimum of 12+ years of software development experience on large-scale, high-volume, technical systems in a microservice based architecture for cloud infrastructure
• Bachelor’s degree and 15+ years (or) a MS in Computer Science and 12+ years of software design and proven experience
• A minimum of five years of management experience
• Proven success providing project management artifacts in an agile environment.
• Excellent problem-solving abilities and strong oral and written communication skills with engineers and non-engineers alike
• Strong ability to coach engineers & great at mentoring, helping them improve their skills and grow their careers (including managing remote engineers)
• Strong sense of ownership, embrace differences and disagreement to get things done and move forward.
• Knowledge of networking, security, and database design. Design & Implemented CI/CD pipelines.
• Proficient in microservices, event driven architecture and container orchestration tools (e.g., Kubernetes, Docker).

• Developed and drove adoption of technical patterns that significantly improved engineering practices across the organization.
• Expertise in Python & Java, with a deep understanding of its ecosystems and frameworks.
• Expertise with Node.js / JavaScript / Scala is a plus
• 1+ years of experience in applying AI to practical and comprehensive technology solutions

What you'll do and learn:

• Develop features and services in highly scalable and reliable frontend and/or backend systems in a distributed system environment.

• Able to translate product and design documents into clean, high-quality, well-tested and maintainable production code autonomously

• Write test automations and practice continuous integration.

• Conduct code review for the immediate team.

• Develop and maintain technical documentation to support software applications.

• Practices evidence-centered design making features testable, ensuring high quality and improving velocity in continuous delivery.

• Accountable for multiple subsystems within a larger domain, taking full responsibility for their entire life cycle, including design, development, testing, deployment, observability and monitoring.

• Propose and evaluate multiple design options, providing estimates for each.

• Structure and complete tasks independently, meeting deadlines and milestones.

• Effectively communicate assumptions and seek clarification from stakeholders, ensuring alignment and understanding across all domains.

• Lead engineering support, release, and on-call responsibilities for an "always-on" 24/7 site.

• Innovative, team player, excellent communication and decision-making

• Strong learning ability, self-driven

• Excited about new and innovative technologies within immediate field of expertise

• Attending knowledge sharing sessions, both within the company and externally

• We are driving the transformation of post purchase experiences with Cancellations, Returns, Refunds, eBay Money Back Guarantee, Chargebacks, and Seller Standards products to strengthen trust on the eBay platform. By focusing on simplification, personalization, and modernization, we aim to build world-class buyer and seller experiences on eBay marketplaces with creativity and passion. Utilizing cutting-edge technologies like Generative AI, you'll tackle complex challenges that directly improve the post purchase experience for millions of eBay users everyday.

• Vibrant Culture - At Buyer Experiences, our strength lies in our diversity, transparency, and collaborative spirit. Our open culture ensures every voice is valued and heard. We celebrate our successes together and approach each challenge as an opportunity for collective growth. Be a part of a dynamic community that not only values your expertise but is also committed to your personal and professional growth.

• Flexible Working - Enjoy exceptional support for remote work, allowing you to balance your professional and personal life seamlessly.

• Competitive Compensation and Benefit - No matter where you are in the world, eBay supports your health and wellbeing with benefits as unique as you. Explore the benefits that help you be your best self. Check out our benefits here:

• Bachelor's degree in EE, CS or other related field or equivalent exp.

• 4+ years of experience working in front-end development using Javascript/Typescript, CSS, React, NodeJS, Server-side rendering using one of the open-sourced UI libraries (Material UI/Ant UI), Integration with REST/GraphQL APIs

• Strong portfolio demonstrating BEM-structured CSS and understand the intricacies of how browsers work

• Strong CS foundation (Data structures, Algorithms, Functional Programing)

• Delivers results in fast-paced environments (agile, TDD, CI/CD)

• Designs and builds scalable, distributed, available systems

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 backend services that manage the full lifecycle of SEO pages

• Build and expose robust APIs that handle shopping page data for downstream consumers (frontend rendering, SEO crawlers, analytics)

• Integrate SEO metadata, taxonomy updates, and internal linking rules into the data model and processing pipelines

• Develop automated workflows to ingest, validate, and synchronize page information from catalog feeds, vendor systems, and content management tools

• Monitor service performance, set up alerts for latency or error spikes, and troubleshoot issues to ensure high availability and data accuracy

• Ensure page data integrity by implementing schema validations, consistency checks, and versioning strategies

• Collaborate with infrastructure and DevOps teams to automate deployments, manage containerized environments, and optimize resource utilization

• Write clean, well-documented code (e.g., Java, Python, or Node.js) for data transformations, caching layers, and background jobs

• Create and maintain comprehensive documentation for service architecture, API contracts, operational runbooks, and troubleshooting procedures

• Design, deliver, and maintain significant features in our SEO Platform, ensuring reliable creation and updates of the data models

• Optimize backend performance to achieve the required throughput and low latency for page rendering, SEO crawls, and data retrieval

• Come up with a sound technical strategy for schema design, caching, and API scalability—taking into consideration project goals, timelines, and SEO impact

• Take an active part in knowledge sharing across the organization—both teaching and learning from others about backend best practices, SEO considerations, and platform architecture

• Implement and enforce data integrity checks, indexing strategies, and partitioning schemes to guarantee accurate, up-to-date records

• Assist in capacity planning and forecasting for future growth to ensure services scale seamlessly as the catalog expands

• Recommend and execute software upgrades, migrations, or architecture improvements to keep the stack current, secure, and performant

• Maintain thorough, up-to-date documentation covering database schemas, deployment processes, and troubleshooting procedures

• 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 for technical excellence and leadership in engineering initiatives

• B.Sc. or M.Sc. in Computer Science (or equivalent professional experience)

• 7+ years of experience designing and delivering complex backend services and/or data pipelines at scale

• Expert-level understanding of Data Structures, Algorithms, Object-Oriented Design, and software architecture principles

• Proven track record of production-grade coding in Java and Python/Scala, with experience integrating advanced technologies

• Strong mentorship and collaboration skills, with the ability to influence technical direction and foster cross-functional alignment

• 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.

• Masters or Bachelors degree in Computer Science or a related field with 10+ years of experience in building large-scale distributed applications and backend services.
• Expert with Java, Kotlin to build server side technologies is required.
• 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.

• Proven expertise in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras.

• Strong understanding of machine learning fundamentals, algorithms, and model evaluation techniques.

• Hands-on experience with ML Ops tools and best practices.

• Proficiency in working with large scale data in hadoop and spark.

• Proficient with prediction accuracy, latency, throughput, confidence scores, and drift (data & concept).

As a , you will work at the intersection of , and . You will be responsible for performing high-volume reconciliations and analysis between internal ledgers, payment pipelines, and banking partners. Additionally, you will apply to detect mismatches, predict anomalies, and support proactive financial risk management.

Reconciliation & Data Integrity

• Execute automated reconciliations between payment gateways, banking settlements, and internal transaction records.
• Maintain reconciliation SLAs (e.g., T+1, T+3 variance resolution) and build recon dashboards for daily break monitoring.
• Build and monitor dashboards for break detection, aging summaries, and resolution tracking.
• Use spark SQL queries and semi-structured data extraction for deep reconciliation pipelines.

Data Engineering & Automation

• Write scalable Hive/BigQuery queries to do RCA automation
• Build web tool using Python scripts to reduce manual work and data research.
• Develop and maintain recon tools and workflows using orchestration platforms (e.g., Airflow, DLS).
• Support pipeline enhancements by collaborating with engineering teams to optimize recon job performance.

Reporting & Audit

• Provide payment insights to support business decision and monitoring
• Present analysis findings and root cause summaries to finance controllers and auditors.
• Ensure data integrity in SOX-auditable recon processes; assist with documentation for internal controls.
• Support audit and compliance teams with automated variance tracking logs and break classification logic.

AI/ML-Driven Anomaly Detection & Forecasting

• Build lightweight ML models (e.g., classification, outlier detection) to provide issue summary, RCA of exception, payment data insight.
• Implement anomaly detection frameworks
• Work closely with data scientists and engineering to deploy detection pipelines within scheduled recon workflows.

Required:

• 4–7 years in data analytics, reconciliation, financial operations, or payments analytics
• Proficient in SQL , Hive/Presto , Python (Pandas, NumPy)
• Experience with Hadoop , Spark , or cloud-scale data platforms
• Ability to work independently with large-scale financial data systems
• Strong skill of Tableau or other BI tools

Preferred:

• Working knowledge of ML algorithms applied to anomaly detection or classification problems is plus
• Familiarity with financial data flows: settlements, payments, general ledger, etc.
• Understanding of ledger reconciliations, journal entries , and financial compliance

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.

• Innovation:

Qualifications

• Education: Bachelor’s degree in computer science, Engineering, or related fields.

• Experience: 5 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.