Software Engineering Manager Mobile App jobs at Ebay in India, Bengaluru

We are looking for exceptional engineering tech leaders and architects, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:

• Architect scalable data pipelines processing billions of items, integrating ML models.

• High availability site facing APIs getting billions of hits a day, with very low latency

• Craft API designs and drive integration between data layers and customer-facing applications.

• Design and run A/B tests in production to measure new functionality impact.

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

• Architect and drive strategic evolution of data pipelines, ML frameworks, and service infrastructure.

• Define and lead performance optimization strategies for critical systems.

• Collaborate on project scope and define long-term architectural vision.

• Develop and champion technical strategies aligned with business objectives.

• Lead cross-functional architectural initiatives, ensuring coherent solutions.

• Establish and champion organization-wide knowledge sharing and best practices.

• Passion and commitment for technical excellence

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

• ​8+ years of software design, architecture, and development experience, tackling complex problems in backend services and / or data pipelines

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

• Architectural expertise in production-grade systems using Java, Python/Scala, Java Script

• Strategic design and operational leadership of large-scale Big Data processing pipelines (Hadoop, Spark).

• Proven ability to resolve complex architectural challenges in production software systems.

• Executive-level communication and collaboration skills for influencing technical direction.

What You’ll accomplish

• Crafting/giving functional and technical direction to a solution

• Test-driven development (TDD)/Behavior Driven Development (BDD), clean code, software craftsmanship

• Testing at all levels (unit, integration, UI and acceptance)

• Refactoring to enhance testability and re-usability

• Continuous delivery and integration

• Identify project risks, quantify risk/benefit relationships

What You’ll bring

• Bachelor's degree from an accredited College or University in Computer Science or related major and 5+ years of mobile development experience

• Experience in iOS, Swift, Objective-C, and XCode as well as familiarity with the integration of network services

• Knowledge of GraphQL, REST is helpful

• Knows about Async/Await, concurrency, combine, UIkit, SwiftUI and various iOS development frameworks essential for Mobile Application development

• Full stack development experience is a bonus

• 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

As a senior engineer, you'll take part throughout the product development lifecycle—from conceptual design to product launch—while working closely with Product Managers, Designers, and Architectural teams.

What you'll do and learn:

• Independently lead complex technical initiatives within and beyond your team.

• Drive technical direction and roadmap, leads across domain teams and guides others towards the right technical decisions.

• Authors ADRs (Architecture Decision Records) that serves as blueprint or a proposed solution for a given technical problem and influences overall tech strategy

• Responsible for one or more large functional areas possessing in-depth knowledge and expertise.

• Demonstrate strong systems mindset, go beyond immediate needs, proactively addressing performance, security, and future-proofing solutions.

• Take ownership of complex projects, driving them from conception to successful implementation.

• Change agency to set high bar and uplevel across teams on culture, process and engineering practices. Empower teams through effective collaboration, knowledge sharing, and tool building.

• Identifying areas in the company platforms likely to change and integrating flexibility in the design for these area improving engineering velocity

• Long term technology vision to continually modernize and keep systems relevant in constantly changing environments

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

• Evaluate and implement emerging technologies that boost system performance and facilitate easier compliance with global payment regulations.

What you will bring:

• Experience in creating and driving technical strategy and roadmap across multiple domains. Balanced trade-offs to ship scalable solutions supporting long-term goals.

• Successfully forge alignments with key stakeholders on signficant architecture decisions and technical direction for ambiguous problem areas through Architectural Decision Records (ADR)

• Developed and drove adoption of technical practices that improved team velocity to deliver high-quality code across the organization.

• Solid knowledge in end to end system design from frontend to backend involving JavaScript frameworks, Rest APIs, Messaging Systems, RDBMS/NOSQL, Containers, Infrastructure layer, with deep knowledge in several key components. Experience in GraphQL is preferable.

• Experiences in leading complex technical initiatives across teams independently from inception to successful delivery.

• Excellent decision-making skills, thrive on dealing with ambiguities and changes.

• Strong sense of ownership and communication skills , embrace diverse ideas across organization and align on a mutually agreed direction to get things done and move forward.

• Deeply care about growing others, great at mentoring and coaching, creating a large positive impact on organizational culture.

• Strong learning ability, self-driven

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

• Learning transferable skills

• Growth mindset and constantly looking for opportunities to learn

• Learns adjacent areas (project management, people management, product management) in addition to core technical skills to better support the organization

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

• 10+ years of experience in building large scale, distributed web platforms/APIs with 6+ years as an architect/technical lead responsible for the end to end product scope across multiple domains.

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