Mts1 - Developer Experience 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.)

What Will You Do

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:

• Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets

• Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items

• Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components

• Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality

eBay is an amazing company to work for. Being on the team, you can expect to benefit from:

• A competitive salary - including stock grants and a yearly bonus

• A healthy work culture that promotes business impact and at the same time highly values your personal well-being

• Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

​Job Responsibilities

• Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure

• Optimize software performance to achieve the required throughput and / or latency

• Work with your manager, peers, and Product Managers to scope projects and features

• Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact

• Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution

• Take active part in knowledge sharing across the organization - both teaching and learning from others

Minimum Qualifications

• Passion and commitment for technical excellence

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

• ​4+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines

• Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design

• Experience in production-grade coding in Java, and Python/Scala

• ​Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark

• Experience handling complexities in production software systems

• Excellent verbal and written communication and collaboration skills

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)

What Will You Do

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:

• Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets

• Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items

• Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components

• Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality

eBay is an amazing company to work for. Being on the team, you can expect to benefit from:

• A competitive salary - including stock grants and a yearly bonus

• A healthy work culture that promotes business impact and at the same time highly values your personal well-being

• Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

​Job Responsibilities

• Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure

• Optimize software performance to achieve the required throughput and / or latency

• Work with your manager, peers, and Product Managers to scope projects and features

• Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact

• Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution

• Take active part in knowledge sharing across the organization - both teaching and learning from others

Minimum Qualifications

• Passion and commitment for technical excellence

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

• ​4+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines

• Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design

• Experience in production-grade coding in Java, and Python/Scala

• ​Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark

• Experience handling complexities in production software systems

• Excellent verbal and written communication and collaboration skills

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)

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 the linking graph database that tracks relationships between all SEO-managed pages

• Optimize graph schema and data models for high performance on complex queries and large-scale datasets

• Develop automated pipelines to ingest, normalize, and update page metadata and link relationships from multiple data sources

• Build and maintain RESTful APIs or microservices that enable internal tools and dashboards to query the linking graph efficiently

• Implement scalable indexing, caching, and partitioning strategies to support rapid traversal and analytics workloads

• Write clean, well-documented code for ETL processes, data validations, and custom data processing tasks

• Stay current with best practices and emerging tools in graph database technology (e.g., Neo4j, Amazon Neptune), recommending upgrades or migrations as appropriate​

• Architect and maintain scalable graph-database infrastructure to support dataset growth

• Define and oversee health monitoring, maintenance routines, and troubleshooting workflows for high availability

• Establish and enforce data-integrity frameworks—indexing, partitioning, and validation—to ensure accurate link relationships

• Drive capacity planning and forecasting to guarantee seamless infrastructure scaling as usage increases

• Lead software modernization efforts, including upgrades, migrations, and architectural enhancements, to sustain performance

• Champion mentorship and onboarding, sharing best practices in graph modeling, coding standards, and SEO-focused engineering

• Passion and commitment to technical excellence, with a focus on graph database solutions

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

• 4+ years of software design and development experience, solving complex problems in backend services—preferably involving graph data models and pipelines

• Strong fundamentals in Data Structures, Algorithms, Object-Oriented Programming, and Software Design, applied to graph-based architectures

• Production-grade coding expertise in Java and Python/Scala, including integration with graph databases (e.g., Neo4j, Amazon Neptune)

• Excellent verbal and written communication and collaboration skills

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.