Engineering Manager – Cloud Security jobs at Ebay in India, Bengaluru

• Lead Strategic Transformation: Spearhead the design, development, and evolution of eBay's Cloud Software-Defined Platforms, Infrastructure, and Networking, ensuring our private cloud compute environment is at the cutting edge of performance and scalability.

• Drive Operational Excellence with AI: Champion our Site Reliability Engineering (SRE) principles, leveraging advanced AI/ML techniques to identify new opportunities for global operational efficiency and predictive intelligence across our vast infrastructure.

• Build & Inspire World-Class Teams: Recruit, mentor, and lead a diverse, globally distributed team of infrastructure software engineers. Foster a culture of technical excellence, continuous learning, and innovation, empowering your team members to achieve their full potential and grow their careers.

• Influence & Execute: Translate high-level business needs into clear, actionable engineering plans. Provide expert technical guidance and leadership, automating processes and enhancing team productivity from ideation through deployment and operations.

• Ensure End-to-End Quality: Own the full software lifecycle instrumentation, from initial requirements gathering to robust software development and seamless deployment, ensuring quality, observability, and scalability are built-in from day one.

• Strategic Collaboration:

• 15+ years of progressive industry experience with a deep focus on large-scale infrastructure, distributed systems, and/or cloud engineering.

• 10+ years in senior leadership roles within the technology sector, ideally managing global, geographically distributed software development and operations teams.

• Proven expertise in Software-Defined Infrastructure and Software-Defined Networking.

• Demonstrated experience in Site Reliability Engineering (SRE) and building highly resilient, scalable systems.

• Experience leveraging AI/ML to drive operational insights, productivity, automation, or efficiency improvements in infrastructure.

• Exceptional ability to lead organizational change management, influence executive stakeholders, and drive consensus in complex, cross-functional environments.

• Expertise in modern global software development methodologies (e.g., Agile, DevOps).

• Superior communication skills , with a track record of clearly articulating critical technical updates and strategies to diverse audiences, including C-level leadership.

• Proficiency in infrastructure as code (IaC) and traffic engineering .

• Hands-on experience with Kubernetes and related container orchestration technologies.

• Experience with service mesh implementations .

• Leadership in open-source projects related to cloud infrastructure.

• Strong understanding of networking, cybersecurity principles, and related fields within a cloud context.

• Experience operating and scaling platforms in high-traffic, global, and exceptionally large-scale environments.

Familiarity with multiple programming languages, including

• Technical Vision & Strategy:

  • Define and drive the long-term technical vision, roadmap, and architecture for the engineering organization.

  • Align engineering strategy with overall business goals and product vision.

  • Evaluate and recommend new technologies, tools, and methodologies.

  • Ensure technical decisions support scalability, reliability, security, and maintainability.

• Team Leadership & Management:

  • Lead, mentor, and grow multiple Engineering Managers and/or Team Leads.

  • Oversee the hiring, onboarding, performance management, and career development of engineering staff (including managers and senior ICs).

  • Foster a high-performing, collaborative, innovative, and inclusive engineering culture.

  • Build and maintain team morale, engagement, and retention.

• Delivery & Execution:

  • Oversee the planning, execution, and timely delivery of complex software projects across multiple teams.

  • Ensure teams adhere to best practices (coding standards, code reviews, testing, CI/CD).

  • Manage engineering budgets, resource allocation, and capacity planning.

  • Track key performance indicators (KPIs) related to delivery velocity, quality, and system health

• Process & Operational Excellence:

  • Establish, optimize, and standardize engineering processes (SDLC, Agile/Scrum/Kanban, release management, incident response).

  • Drive continuous improvement in engineering efficiency, productivity, and quality.

  • Implement and monitor metrics to measure team and organizational performance.

• Cross-Functional Collaboration:

  • Partner closely with Product Management, Design, Data Science, Security, and IT/Operations to define requirements, prioritize work, and ensure successful product delivery.

  • Collaborate with senior leadership (Sr. Directors, other Directors, Executives) on strategic initiatives and company-wide goals.

  • Represent the engineering organization in cross-functional meetings and strategic discussions.

• Technical Oversight & Quality:

  • Provide high-level technical guidance and oversight across projects.

  • Champion software quality, best practices, and operational reliability (e.g., SLOs, SLIs).

  • Ensure systems are designed for scalability, performance, and cost-efficiency.

  • Manage technical debt and advocate for necessary refactoring/infrastructure investments.

• Resource Management:

  • Growing your team through coaching, mentoring

  • Forecast hiring needs and participate in recruitment strategy.

• 10+ years of software engineering experience, with 5+ years in direct people management and 3+ years managing other managers.

• Master's degree in Computer Science, or Bachelor's degree with equivalent experience

• Proven ability to lead, inspire, mentor, and grow large engineering teams and managers. Strong coaching skills.

• Significant hands-on technical background (software development, architecture, systems design). Ability to understand complex technical challenges and trade-offs deeply, even if not coding daily.

• Ability to set technical vision, translate business strategy into engineering execution, and make long-term architectural decisions.

• Proven track record of shipping complex, high-quality software products at scale. Expertise in Agile methodologies.

• Exceptional written and verbal communication skills. Ability to articulate complex technical concepts to both technical and non-technical audiences (including executives).

• Excellent interpersonal and stakeholder management skills. Ability to build strong cross-functional partnerships.

• Strong analytical and critical thinking skills. Ability to navigate ambiguity and make sound decisions under pressure.

• Experience establishing processes, metrics, and driving continuous improvement.

• Experience in ECommerce and Shipping industry

• Experience scaling engineering organizations during rapid growth

Responsibilities:

• Collaborate with architects and product managers to gather and analyze requirements.

• Author comprehensive software design documents to outline innovative solutions.

• Develop high-quality code with a focus on test-driven development.

• Design, implement, and maintain CI/CD pipelines for efficient software deployment.

• Develop monitoring dashboards and alert systems to ensure service performance.

• Fix and resolve production issues, providing outstanding customer support.

• M.S. or PhD in Computer Science or a related field, with a minimum of 3+ years of proven experience

• Extensive experience with LDAP and Active Directory (AD) directory services for authentication, identity management, and integration into secure cloud environments.

• Proficiency in one or more programming languages: Python, Go, C++ or Java.

• Proficient in problem-solving, with a strong understanding of data structures and algorithms and a solid foundation in core computer science concepts, including operating systems, security, databases and distributed systems.

• Experience working with both relational and non-relational databases like MySQL, MongoDB

• Experience working in any of Cloud Security Software development like Authentication, Authorization, Access management, Data encryption

Nice to have skills,

• Authentication and Authorization - OIDC, OAuth, SSO, FIDO

• Access management - RBAC, Scope Claim based access, Policy based access

• Kubernetes customization – API Server webhooks, Custom Resource definitions, Controllers

• Service mesh technologies like Istio and Envoy

At the intersection of AI, data science, and product discovery , we’re crafting the next generation of eCommerce experiences—and we’re looking for a dynamic leader to help make that vision real.

As , you’ll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You’ll lead with both hands-on expertise and strategic insight, bridging the worlds of LLMs, taxonomy, knowledge graphs, and scalable analytics .

This is a embedded in our , where you’ll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage.

What You’ll Lead & Deliver

• Optimize Product Knowledge at Scale
  Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery.

• Build LLM-Powered Solutions
  Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence.

• Design Model Evaluation Frameworks
  Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems.

• Turn Data into Strategy
  Translate insights into action by partnering with Product, Engineering, and AI teams—driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution.

• Prototype & Experiment Rapidly
  Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions.

• Partner for Production Impact
  Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems.

What You Bring

• 7+ years of experience in analytics, data science, or ML roles

• Advanced proficiency in SQL and Python for analytics, automation, and experimentation

• Familiarity with eCommerce discovery , product classification, and search or recommendation systems

• Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required)

• Strong grasp of model evaluation , including metrics design and benchmarking

• A startup mindset—bias for action, high ownership, and comfort with ambiguity

• Excellent communicator with the ability to influence cross-functional stakeholders

Why You’ll Love It Here

• Drive real impact at the core of product discovery innovation

• Work hands-on with cutting-edge AI and data platforms

• Collaborate with some of the best minds in AI, Product, and Engineering

• Own high-visibility projects in a startup-like, high-trust culture

• Build scalable, magical, and relevant product data systems used by millions

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

• Collaborate with Management and Product Management on shaping the department’s vision and roadmap

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

• ​Seek scientifically valid solutions that deliver real value to eBay customers

• Carefully measure your output and impact in order to learn and improve over time

• Collaborate with Operations team to ensure the quality of any human-labeled data required

• ​Build Machine Learning models and data pipelines to deliver insightful yet practical solutions

• Mentor more junior peers, as well as review their work and provide frequent feedback and advice

• Promote Scientific rigor and standards, as well as code quality and craftsmanship within the team - especially among your less experienced peers

• ​Present key technical and novel research work in public forums and conferences

• Help interview and hire additional, exceptional teammates!

• ​BE/B.Tech with 10+ years of relevant Industry experience

• M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field with 7+ years of industrial experience in Applied Machine Learning

• ​Industrial experience with multiple of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related

• Significant Experience in Production-grade coding in a high-level language such as Python or Java

• ​Experience in Big Data processing frameworks, e.g. Hadoop, SQL, Spark

• ​Excellent verbal and written communication and collaboration skills

• Thought leadership and mentoring skills

• ​5 or more related publications/patents in quality conferences or journals

• Open source tool building/commits to popular threads.

• Experience on Language models and KG building

• Design and develop services that implement data obfuscation, anonymization, and masking for sensitive customer data across eBay’s ecosystem.
  

• Collaborate with privacy, security, and product teams to define requirements that balance compliance, usability, and performance.
  

• Integrate obfuscation frameworks into critical systems, ensuring minimal friction for internal teams and customers.
  

• Conduct security and privacy assessments , identifying risks and applying mitigations to meet global privacy regulations (GDPR, CCPA, etc.).
  

• Develop APIs and SDKs that make data obfuscation solutions easy to adopt across teams.
  

• Monitor and audit obfuscation services to ensure performance, accuracy, and compliance.
  

• Support incident response teams
  

• Bachelor’s or Master’s degree in Computer Science, Engineering, Cybersecurity, or related field (or equivalent professional experience).
  

• 5–8 years of software engineering experience , with a focus on security, data privacy, or backend services .
  

• Strong programming skills in Java, Go, Python, or Node.js .
  

• Expertise in data obfuscation techniques : masking, tokenization, pseudonymization, encryption.
  

• Experience working with relational and non-relational databases (e.g., MySQL, MongoDB, Cassandra).
  

• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Kubernetes, Docker).
  

• Strong knowledge of security and privacy principles , including regulatory frameworks (GDPR, CCPA, HIPAA).
  

• Experience designing APIs, microservices, and scalable distributed systems .
  

• Privacy Enhancing Technologies (PETs) such as differential privacy, homomorphic encryption, or secure multi-party computation.
  

• Familiarity with data governance frameworks and compliance tooling.
  

• Hands-on work with monitoring, auditing, and logging tools to ensure obfuscation compliance.
  

• Strong knowledge of identity and access management (IAM) .
  

• Experience building developer-friendly tools

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