Senior Software Engineer jobs at Ebay in Canada, Toronto

MTS 2, Software Engineer, Data Platform

Job Type: Full-time

This role is focused on Data Platform Engineering not data engineering . While familiarity with Spark, Flink , and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself , not just authoring data pipelines.

• major components of eBay’s Data Platforms — from design through production rollout.

• Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.

• Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.

• Build systems that balance latency , correctness , and cost while ensuring security and compliance.

• Drive operational excellence for services you own, including observability and incident response.

• Collaborate across product , infra , and analytics teams to align execution with business needs.

• Learn and grow in areas like governance , orchestration , and privacy engineering .
  

• Experience designing large-scale distributed systems (compute, storage, APIs, streaming).

• Ability to independently deliver complex projects from requirements to production.

• Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.

• Strong communication skills to influence cross-team technical outcomes.

• Growth mindset with curiosity to learn new technologies.
  

• Impact at scale : powering global analytics and ML systems.

• Challenging problems : streaming, freshness/correctness , and multi-cloud resiliency.

• Collaborative culture that values inclusion and knowledge sharing.

• Support & growth : flexibility, benefits, and career development resources.

• Focus on reliability and sustainable on-call
  

• 8+ years of distributed systems or data platform experience.

• Proven ability to design and deliver critical systems with impact.

• Proficiency in Java/Python , CI/CD , and containerized environments.

• Hands-on expertise in tools like Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .

• Experience in streaming and batch data platforms.

• Strong foundation in algorithms and distributed design .

• BS/MS in CS or equivalent experience.

This role requires a unique product leader who can successfully navigate an ambiguous, fast-paced environment. You will be responsible for defining and delivering high-impact features across the entire live commerce journey, including the foundational technology platform, the global buyer experience, and the tools sellers use to broadcast, engage, and monetize their live streams. If you thrive on significant ownership, high visibility, and the chance to build the future of e-commerce, this is the role for you.

What you will accomplish:

• customer empathy with an understanding of market trends, business goals, and competitive insights.

• Drive the full product lifecycle for multiple features or a major product initiative, from initial discovery and opportunity sizing to launch, iteration, and post-launch analysis.

• Own and deliver a challenging product roadmap on time, demonstrating a strong bias for action and high-quality outcomes. You will write clear, detailed requirements (PRDs) that prioritize hypotheses for testing and iteration.

• Lead and inspire confidence among a wide range of partners, including engineering, design, data science, research, and marketing . You will foster collaboration, build alignment, and drive shared goals across all stakeholders.

• Define key success metrics, leverage data and analytics to quantify customer problems, size opportunities, and ultimately measure the impact of your work on organizational goals.

• Cultivate a knowledge of the technical architecture and backend systems for your product area to effectively partner with engineering, unblock development, and influence technical decisions.

What you will bring:

• 5+ years of product management or related strategy experience, with e-commerce, video, or social commerce experience highly preferred .

• Bachelor’s degree required ; MBA or relevant advanced degree preferred .

• Ambiguity Management: Exceptional ability to thrive in an ambiguous, 0-1 environment , distilling complex, unclear problems into a clear product vision and actionable roadmap.

• Prioritization and Tradeoffs: Demonstrated ability to evaluate options, assess trade-offs (short-term vs. long-term), and recommend a path forward, even with incomplete data.

• Influence & Communication: Masters written and verbal communication, adapting your message to influence both execution teams and executive leadership. Ability to lead and inspire without direct authority.

• Analytical Rigor:

This role focuses on hands-on design work, prototyping, and cross-functional collaboration to improve the end-to-end live seller journey. You will be challenged to balance creativity and usability, using advanced design and prototyping tools, while also building strong partnerships with key stakeholders across disciplines.

What You'll Accomplish

• Contribute to product design and UX for eBay Live seller experiences, focusing on onboarding, event setup, inventory, and post-sale workflows.

• Apply advanced mastery of Figma and prototyping tools to create, iterate, and hand off interactive design assets and user flows.

• Help develop and refine design concepts based on research and feedback from sellers, in close partnership with content and research peers.

• Collaborate effectively with cross-functional teams (engineering, product, research, content) to support the delivery of high-quality solutions that drive seller value.

• Participate in user testing, workshops, and field research to validate design decisions and gather insights.

• Present design rationale and solutions to peers and occasionally to senior stakeholders using clear storytelling and narrative techniques.

• Maintain organized and well-documented design files to ensure alignment and smooth handoff within the team.

• Stay curious about trends in live commerce, streaming platforms, and video-first experiences; actively share relevant ideas and inspiration.

What You'll Bring

• 5+ years of professional product design experience, ideally in ecommerce, live commerce, marketplace, or related seller-facing environments.

• Advance mastery of Figma and prototyping tools, with a portfolio that demonstrates impactful contributions to product design and user experience.

• Strong storytelling skills in presenting design thinking, rationale, and user journeys to team members and stakeholders.

• Demonstrated ability to collaborate with content and research peers, integrating insights and narratives into design solutions.

• Experience working with cross-functional partners to deliver end-to-end design solutions.

• Proficiency in workshop participation, user-centered research, and testing to inform design iterations.

• Inclusive, team-oriented mindset, open to feedback and dedicated to continuous personal development.

• Bonus: Experience or strong interest in streaming, live commerce, video-first platforms, or game design.

Roles/Responsibilities:

• Native iOS app development and converting ideas, designs and requirements to concrete stable production builds

• Coordinate and collaborate with the Product and Engineering team to identify problems, come up with creative solutions, and help with tracking and delivering within the release plan

• Understand and implement iOS specific design patterns

• Experience with iOS XCode, Obj-C, Swift, SwiftUI, network debugging (e.g. Charles), revision control systems (e.g. Git) and bug tracking (e.g. Jira)

• Develop and iterate within a rather lean, yet very fast-paced Engineering team

• Develop code and testing methodologies to improve the DevOps "Four Key Metrics"

• Be part of a transformative, productive and fun startup culture

Job Requirements:

• 8+ years of experience developing iOS applications, with deep experience in both Swift, Objective-C, SwiftUI, Xcode

• Deep experience in unit testing and functional UI testing with XCTest / XCUITest

• Well versed in SOLID principles

• Experience with GraphQL

• Experience with modern design patterns such as MVVM, VIPER, RIBS, etc...

• Ability to collaborate and drive best practices with engineers from numerous teams

• Experience with Agile/Scrum methodologies

• Experience working with services teams to design optimal mobile services contracts

• B.S Degree in Computer Science or equivalence.

What you will accomplish:

• Compose, develop, and assist in global projects from software creation to leading all aspects of technical and day-to-day team activities.

• Collaborate with engineers and other multi-functional teams such as Product Management, Release Engineering, Quality Engineering, Architecture, Operations teams etc. to compose innovative solutions that align with market demands in terms of functionality, performance, scalability, reliability, realistic implementation schedules, and dedication to development objectives and principles.

• Estimate engineering efforts and plan implementation, lead product initiatives, recommend improvements, mentor and guide junior team members.

• Identify project risks and work optimally to mitigate them, share release management duties on feature rollouts providing industry and product technical expertise.

• Find and help fix stability/scalability issues in a time critical environment, support and resolve site issues when they arise.

What you will bring:

• Preferred B.S, M.S. degree or equivalent in Computer Science or related field with 12+ years of professional experience.

• Computer Science fundamentals - algorithms, data structures, programming paradigms, design/architectural patterns.

• Proven foundation in modern programming languages, our current stack of Java/Scala/Python/Kotlin is preferred.

• Experience designing and building data processing pipelines with streaming and batch processing using Spark/Hadoop, Kafka/Flink.

• Familiarity with SQL/NoSQL/columnar databases, Elasticsearch/OpenSearch, document stores, CAP concepts.

• Creative thinking, able to come up with alternative solutions to fit business requirements and strong collaboration skills and ability to influence a multi-functional team to deliver results.

What you will accomplish:

• Collaborate closely with peers, Architects, Product Managers, Business Analysts, Quality Engineers, and Operations teams to develop innovative solutions that meet functional and non-functional standards and expectations

• Be involved in development, testing, release, triage, bug fix, documentation and work in an Agile environment. Use of tools like JIRA, Git, CICD and other internal eBay tools on a regular basis to prioritize work and deliver features

• Evaluate and define storage needs and make recommendations about technology, define domain services and interface definitions and testing architecture

• Design and build high-performing, reliable solutions for high-throughput, distributed systems using a variety of third-party and eBay internal libraries and frameworks

• Participate in technical design and code reviews and provide feedback to other specialists on the team

• Estimate engineering efforts, roadmap planning and be responsible for operational processes, such as automation and controls, to help with efficiency and quality of both manual and technical operations.

What you will bring:

• Bachelor’s degree in Computer Science or a related field with 6+ years of experience, or a Master’s degree with 5+ years of proven expertise in building large-scale, web-based distributed systems using Java and REST APIs.

• Detailed understanding in computer science fundamentals, data structures and algorithms and extensive experience in building highly available, scalable and robust applications

• Excellent object-oriented design and coding skills in Java, hands-on experience using unit/integration test frameworks to build fully automated software applications

• Proven understanding of relational and NoSQL databases, data storage/access patterns, caching techniques, messaging systems and asynchronous workflows

• Experience with bug triaging and debugging techniques, logging and monitoring systems, application and query performance tuning

• Good understanding of web services and SOA related standards like REST/OAuth/JSON

We are working on challenges such as:

• Building recommender systems that surface the most relevant listings based on user behavior, context, and item signals.

• Developing personalized banners, dynamic landing pages, and real-time ranking models for buyer experiences.

• Integrating structured data, text, and images to deliver rich, context-aware personalization.

• Running large-scale experiments to measure and optimize conversion, engagement, and satisfaction.
  

• Design, develop and productionize machine learning models for personalization, recommendation, and ranking.

• Build scalable systems that deliver real-time buyer experiences across millions of users and inventory listings.

• Conduct A/B experiments and use data-driven insights to iterate and optimize models.

• Work closely with product managers, engineers, and designers to integrate science-driven features into the buyer experience.

• Document and communicate technical approaches, insights, and results to technical and business audiences.

• Contribute to the science strategy by identifying new opportunities and approaches based on data trends and business goals.

What you will bring :

• 5+ years of industry experience applying machine learning at scale, ideally in recommendation, ranking, or personalization domains.

• MS or PhD in Computer Science, Machine Learning, Statistics, or a related technical field.

• Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow.

• Experience working with large datasets and distributed computing frameworks like Spark or Hive.

• Strong background in experimental design, A/B testing, and statistical analysis.

• Experience in ecommerce, online marketplaces, or consumer-facing applications.

• Knowledge of multimodal machine learning techniques (e.g., using structured data, text, and image signals together).

• Familiarity with recommender system architectures, ranking algorithms, or retrieval systems.

• Experience building models that prioritize privacy, fairness, and user trust.