Senior Ios Engineer - Mts jobs at Ebay in India, Bengaluru

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

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

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

• 7+ 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)

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

What you will accomplish :

• 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.

What you will bring :

• Masters in Computer Science or a related field with 7+ years of experience (or BS/BA with 8+ years) in building large-scale distributed applications and backend services.

• 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.

• What you will bring:

• Bachelor's Degree in Computer Science or closely related field with 8 years of relevant experience or MS with 6 plus years’ experience

• Specializing in Tax to innovate and change the eBay Payments experience

• Expertise in Tax software solutions like Vertex or similar.

• Experience with SQL and relational databases as well as NoSQL databases such as MSSQL, PostgreSQL, Dynamo

• Unit test with mock (Jest or Jasmine preferred) , Automation testing is a plus.

• Understanding of how to create modular and extensible APIs.

• Proficient at using appropriate security, documentation, and/or monitoring best practices.

• Familiar with Agile/Scrum methodologies

• ​​Experience in fixing accessibility issues is a plus.

• 1+ years of experience in applying AI to practical and comprehensive technology solutions [Nice to Have]

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What you will accomplish:

• Proactive Monitoring : Continuously monitor the health of eBay's critical services to identify and address potential issues before they escalate.
• Solution Development : Collaborate with Architecture, Engineering, and Operations teams to develop solutions that ensure high site availability, reliability and performance.
• Collaborative Problem Solving : Work closely with partner teams to resolve recurring technical issues, onboard new alerts, and develop high-quality Standard Operating Procedures (SOPs).
• Enhance Monitoring Tools : Build and improve tools for monitoring and mitigating site incidents, and conduct reliability audits and tests to strengthen eBay’s reliability and incident management capabilities.
• Incident Management : Act as Incident Commander to drive resolution of major incidents, manage alarms, and ensure effective communication with leadership and partner teams.

What you will bring:

• 4+ years of professional experience in software engineering, ideally in backend or platform teams
• Proficiency in one or more programming languages (e.g., Java, Go, Python)
• Strong incident management and leadership skills, with excellent technical triage and troubleshooting abilities, especially during crises.
• Familiarity with cloud platforms, container orchestration (e.g., Kubernetes), and infrastructure-as-code tools
• Experience with observability stacks (e.g., Prometheus, Grafana, ELK, OpenTelemetry)
• Strong interpersonal and communication skills to thrive in fast-paced, dynamic environments.

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.

• Mentorship: Guide junior engineers through code reviews, design discussions, and knowledge-sharing sessions.

• Innovation:

Qualifications

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

• Experience: 8–10 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.

We’re seeking a Member of Technical Staff 1 (Software Engineer) who can work independently and is an expert in distributed systems . You’ll design and deliver well-scoped services and features that advance eBay’s Core Data Platform—improving scalability, reliability, and developer experience. This role is Data Platform Engineering not data engineering ): you’ll build and evolve the platform itself rather than author application pipelines.

• Independently design, implement, and ship distributed services and features end-to-end (design → code → tests → deploy → operate).

• Build core platform capabilities across ingestion, streaming, lakehouse/warehouse, catalog, and governance .

• Write production-grade code with strong observability (metrics, logs, traces) and SLOs , and participate in on-call for the services you own.

• Diagnose and resolve performance, scalability, and correctness issues in distributed environments.

• Contribute design docs for your areas; participate in reviews to uphold reliability, security, and cost best practices.

• Collaborate with product, infra, and analytics teams to align technical work with business outcomes.
  

• 6+ years of professional software engineering experience (or equivalent impact).

• Expertise in distributed systems fundamentals (consensus, replication, partitioning, consistency models, fault tolerance) and practical experience building and running such systems in production.

• Strong coding skills in Java/Python and familiarity with CI/CD .

• Hands-on with some of: Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .

• Proven ability to work independently , make sound tradeoffs, and deliver quality outcomes with minimal supervision.

• Solid debugging, performance analysis, and system design skills.
  

• multi-tenant platform services, data governance, or privacy-by-design controls.

• Contributions to open-source distributed systems or data platforms.
  

• ships independent, well-scoped features/services to production with strong reliability.

• Demonstrably improves throughput/latency/cost or availability/SLOs on owned services.

• Becomes a go-to engineer for distributed-systems debugging and design conversations within the team.

• Maintains high code quality, test coverage, and quality-in-release metrics.
  

• Impact at scale: Your platform work powers analytics and ML across a global marketplace.

• Hard problems: Streaming freshness/correctness, storage/compute efficiency, multi-region resiliency.

• Collaborative culture: Inclusive team that values autonomy, craftsmanship, and knowledge sharing.

• Growth:

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)