People Experience Gcc Lead jobs at Ebay in India, Bengaluru

As a thousands of applications and support 3,000+ developers every day. You’ll build paved‑path tooling, automate at scale, and adopt modern cloud infrastructure so teams can develop, test, and ship high‑quality, secure, performant software—rapidly and reliably.

• Own the Software Build, Test platform and frameworks. Design and evolve fast, reproducible, and cache-efficient builds; reduce CI build times with creative solutions; improve correctness and remove flakiness in infrastructure; maintain scalable artifact storage and dependency management.

• Platform modernization. Our platform is powered by Jenkins, Maven for Java, NPM for NodeJs builds. You’ll be evaluating state of the art CI platforms (e.g.Tekton) and pave the way for modernizing our Build, Test stack.

• Spin up ephemeral, production-like test environments. Standardize on sandboxed, on-demand environments (e.g., per-PR) to enable reliable integration/e2e testing and preview deployments.

• Harden & simplify deployments. Advance our CD/GitOps workflows (progressive delivery, automated rollbacks, canaries), with golden paths and strong guardrails.

• Build the internal developer portal. Curate paved roads for services, data, and infra via templates, scorecards, and software catalogs to improve discoverability and self-service.

• Introduce AI-assisted engineering.

  • Ship secure, private AI copilots for code authoring, refactoring, and code review.

  • Use LLMs for test generation , flaky test triage , log summarization , debug suggestions , Error classifications, Selective Test Execution and AIOps across CI/CD.

  • Build evaluation harnesses, prompt libraries, RAG over internal docs, and policy controls for IP, PII, and secrets.

• Champion reliability, security & compliance. Bake in supply-chain security (SBOMs, provenance, signing), policy-as-code, and infra guardrails, Patching CVEs in accordance with policies

• Instrument, measure, improve. Track DORA and DevEx metrics (lead time, deployment frequency, change-failure rate, MTTR) and drive continuous improvement via experiments.

• Partner widely. Work with product teams, Cloud, Frameworks, Security, and Data/ML to understand friction points and design paved-road solutions that scale.

• Collaborate across.

• Data driven analysis and cut average CI build times by 40% via incremental builds, dependency management and smarter caching; Bring down slowest test suites with parallelization, Selective Test executions, profiling and flake-busting.

• Launch ephemeral “PR environments” with seeded data and synthetic traffic; integrate with feature flags for safe, progressive rollouts.

• Stand up an internal developer portal (service templates, scorecards, docs search) and migrate golden paths there.

• Deliver an AI DevEx toolkit : repo-aware chat, code-review assistant, flaky-test explainer, and CI log summarizer—with evaluation dashboards and privacy controls.

• Pilot remote dev pods
  

Must-haves

• 7+ years building platforms/tools for large engineering orgs; deep expertise in one or more build systems (preferably building Java, Nodejs stacks), CI orchestration (preferably Jenkins), test infra, deployment/CD pipelines, or Internal Developer Portals.

• Self-starter with a proactive mindset and strong sense of ownership.

• Proven ability to manage communications effectively with partner teams across global regions, with hands-on experience working in private cloud environments.

• Skilled at designing robust solutions while proactively anticipating potential issues to ensure reliability and efficiency.

• Strong systems design for high-scale developer workflows (monorepos/multirepos, artifact caching, remote execution, hermetic builds).

• Experienced in providing timely solutions to developer challenges in Jenkins environments, ensuring smooth CI/CD workflows.

• DevOps fundamentals: Containers, Kubernetes, service mesh, IaC (Terraform), GitOps, observability (metrics/logs/traces), SLOs/SLIs.

• Practical AI skills & design patterns: Prompt engineering, hands-on RAG, LLM evaluations, API orchestration, privacy/guardrails; ability to ship AI-backed tools that measurably reduce toil.

• System design & design patterns: strong grasp of distributed systems, API design, resiliency, and object-oriented/functional patterns; ability to create clear, scalable architectures and ADRs.

• Agentic/MCP architectures: practical experience designing agent loops (planner/executor/critic), tool abstractions, memory, and MCP-style tool/resource servers for enterprise integration.

• Proficiency in at least two languages (e.g., Java, Kotlin, Python, Go,). Fullstack development experience is a plus.

• Fluency in Linux/Ubuntu commands to get bottom of the system level issues.

• Database literacy: working knowledge of NoSQL and modern relational databases.

• Observability dashboards: ability to build with Prometheus, Grafana, ELK, Splunk, New Relic, or Nagios.

• Performance sleuthing: able to diagnose system and web-service performance issues end-to-end.

Nice-to-haves

• Experience with modern CI/CD platforms (e.g., Tekton/Spinnaker/Argo CD/Flux) and progressive delivery.

• Prior work with Backstage or other IDPs; plugin development and service catalog design.

• Background in developer analytics and productivity research; familiarity with DORA, DX frameworks

• Experience with remote dev environments (e.g., DevPods/Codespaces-style) at scale.

• Experience with microservices architecture and related DevOps practices.

• Lead time for changes trends down; deployment frequency trends up without increasing risk.

• CI stability & speed improve (p95 build/test time, flake rate, queueing).

• Change failure rate & MTTR drop via safer releases and better rollback automation.

• Developer NPS/DevEx survey and onboarding time improve; IDP adoption grows. (Benchmarked using DORA-style measures.)

About the Role

This position requires a blend of front-end product expertise, an experimentation-driven mindset, and deep back-end platform experience. You will play a pivotal role in designing, scaling, and evolving global payment solutions, ensuring our systems are robust, compliant, and optimized to deliver exceptional value for buyers, sellers, and the business.

What You’ll Do

• Set the Vision: Define and communicate a compelling product vision and strategy for Payments Platform initiatives, balancing near-term execution with long-term platform investments.

• Drive Execution: Partner with engineering, analytics, design and other cross-functional teams, delivering end-to-end solutions that span customer-facing experiences, APIs, and core services.

• Enable Scale: Design systems for high availability, reliability, and scalability across multiple geographies, currencies, and regulatory frameworks.

• Collaborate Across Functions: Work with product, design, data, finance, and operations teams, as well as in-country business leaders, to align on priorities and build scalable global solutions.

• Lead with Data: Leverage analytics, customer insights, and experimentation frameworks to inform product design, validate hypotheses, and measure impact.

• Influence & Inspire: Act as a domain expert and trusted partner across the organization, building alignment from executives to cross-functional teams.

What You Bring

• Bachelor’s degree required; MBA or technical (engineering) degree preferred.

• 8+ years of experience in product management or software development, with significant exposure to payments or financial platforms—ideally in large-scale eCommerce or marketplace environments.

• Proven track record of delivering both front-end user-facing products and back-end platform solutions.

• Solid understanding of payments processing, accounting, tax and compliance frameworks.

• Experience driving global product strategies that balance innovation, operational flexibility, and market-specific requirements.

• Strong analytical abilities, with expertise in experimenting, testing hypotheses, and using quantitative/qualitative methods,

• Ability to lead complex initiatives in a matrixed, global environment, influencing stakeholders at all levels.

• Exceptional communication skills, with the ability to simplify complexity and inspire action.

• Passion for building products that delight customers and move the business forward.

This is an opportunity to:

• Lead and manage a large team of applied researchers and engineers with deep expertise in natural language processing, large language models / Generative AI, recommender systems, and ML production engineering

• Drive applied research strategy for the eBay buyer experience, and influence how people will interact with eCommerce in the future

• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users

• Develop and deploy state of the art AI models

• Deploy big data technology and large scale data pipelines

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

• Create a culture of applied research, innovation, experimentation and engineering excellence

Qualifications

• Advanced degree (MS or PhD) in Computer Science or a related field, with 15 years of experience in Machine Learning, AI, or large-scale engineering environments.

• Proven track record of building and leading high-impact engineering and research teams, ideally within ML/AI-focused organizations.

• Experience with a variety of data science and ML techniques, exposure to Natural Language Processing (NLP) and industrial-grade recommender systems, with a passion for solving real-world problems at scale.

• Solid background in production-level engineering practices, including Agile methodologies and object-oriented programming (e.g., Scala, Java), in high-throughput environments.

• Proven track record of having business impact with production grade cloud-native solutions, scalable data pipelines, and large-scale distributed databases.

• A history of technical thought leadership through academic publications, patents, or contributions to open-source projects or technical blogs is highly desirable.

Links to some of our previous work:

• (GenAI Agentic Platform)

Responsibilities

• Design and Develop Traffic Management Solutions : Leading the design, development, and maintenance of solutions to manage network traffic efficiently.

• Optimize Network Operations : Improve efficiency through enhanced caching strategies and PoP optimization.

• Develop High-Performance Applications : Utilize C/C++ and Go to create robust applications.

• Manage Scalability on Kubernetes : Deploy and oversee scalable systems.

• Cyber Security and Observability : Implement measures to protect network infrastructure and monitor system health.

• Collaborate and Mentor : Work with cross-functional teams to integrate networking solutions and guide junior engineers.

• Contribute to Open-Source and Patented Innovation

Qualifications

• Education : Bachelor's or Master's degree in Computer Science, Engineering, or related fields.

• Experience : At least 8 years in networking, traffic management, and cyber security.

• Technical Skills : Proficiency in C/C++ and Go, Low level Linux networking, Kubernetes, and caching strategies.

• Soft Skills : Strong problem-solving, analytical, and leadership skills.

Preferred Skills

• Experience with Envoy for traffic management.

• Experience with low level Linux networking and distributed systems.

• Contributions to open-source projects.

• Relevant certifications and experience in large-scale environments.

• Familiarity with Java or other frameworks.

• Experience in Agile methodologies and patent creation.

Benefits

• Competitive salary and benefits.

• Professional growth and advancement opportunities.

• Access to the latest tools and technologies.

HR Operations & Administration:

Manage the end-to-end employee lifecycle processes, including onboarding, transfers, promotions, and exit formalities.

Maintain accurate and up-to-date employee data in our HRIS system (Workday).

Handle all HR-related documentation, such as employment contracts, confirmation letters, experience letters, and policy acknowledgments.

Employee Relations:

Manage and resolve employee relations issues, conducting effective, thorough, and objective investigations when necessary.

Provide day-to-day performance management guidance to line management (e.g., coaching, counseling, career development, disciplinary actions).

Deliver employee relations training to leaders.

Compliance & Policy Management:

Ensure compliance with all relevant Indian labor laws and regulations (e.g., Shops and Establishment Act, PF, ESI, Gratuity, POSH).

Assist in adapting and implementing global HR policies to the local context, ensuring they are well-understood and consistently applied.

Maintain statutory records and support internal and external audits.

Employee Engagement & Culture:

Drive and support local employee engagement initiatives, events, and wellness programs.

What You Will Bring

5+ years of experience in an HR Manager role , preferably within a multinational technology, e-commerce, or shared services environment in India.

Must be based in or willing to relocate to Bangalore, India, and work onsite at least 3 days a week.

Strong working knowledge of Indian labor laws and statutory compliance requirements.

Excellent verbal and written communication skills in English.

Proven ability to handle confidential information with discretion and build strong relationships based on trust.

Proficiency in Google collaboration tools and experience with HRIS platforms (specifically Workday).

High level of emotional intelligence and strong problem-solving skills.

Strong coaching, mentoring and stakeholder management skills.

3+ years of experience in leading a team of HR professionals.

Preferred Qualifications

Master’s degree (MBA/PGDM) in Human Resources.

Direct experience working in a Global Capability Center (GCC)

Experience supporting a rapidly scaling organization.

SHRM-CP, PHR, or other relevant HR certification is a plus.

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