Sr. Software Engineer, Tracking Platform

eBay•Toronto, ON

About The Position

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. MTS 2 - Software Engineer, Tracking Platform The Tracking Platform team at eBay is responsible for building and operating foundational distributed systems that enable reliable capture, validation, processing, routing, delivery, and replay of high-volume behavioral event data. We are looking for strong senior level backend platform engineers who are passionate about building distributed systems that are reliable, scalable, observable, and cost-efficient at production scale. About the Role We are seeking a Senior Software Engineer to lead the architectural vision and technical strategy for eBay’s Tracking Platform. This is a pivotal role where you will drive the design and evolution of distributed platform services that power event ingestion, processing, replay, and delivery. Your work will help ensure that the platform is dependable in production, easy to operate, and flexible enough to support future growth. We are seeking platform software engineers, not application engineers. While familiarity with event processing, streaming systems, runtime infrastructure, and large-scale service design is a strong advantage, your focus will be on building the distributed platform itself rather than consuming it or building isolated application features on top of it. If you are an engineer who enjoys hard problems in distributed systems, backend infrastructure, reliability, and platform architecture, this is the right team for you.

Requirements

BS EE or CS degree; 10 + years related experience (or Masters and 8 + years related experience or PhD and 6+ years experience) with significant experience building distributed backend systems or platform infrastructure.
Strong experience designing and operating high-throughput, low-latency, production-grade services with demanding reliability requirements.
Deep understanding of distributed systems concepts such as concurrency, partitioning, replication, consistency models, retries, deduplication, idempotency, backpressure, leader election, and failure recovery.
Strong backend development experience in Java, Python, Go, Scala, C++, or another production-grade programming language.
Experience building platform services, APIs, libraries, runtime systems, or infrastructure capabilities used by multiple engineering teams.
Experience operating services in production, including observability, on-call support, debugging, incident response, postmortems, and follow-through on systemic fixes.
Ability to make sound architecture tradeoffs across reliability, correctness, performance, simplicity, velocity, operability, and cost.
Experience defining clean interfaces, migration strategies, backward-compatible changes, and rollout plans for platform systems.
Strong communication skills with the ability to explain complex technical decisions clearly and influence across teams.
A track record of mentoring engineers, leading technical discussions, and improving the quality of engineering execution.

Responsibilities

Own the architecture, design, and development of core distributed platform services that support tracking workloads at scale.
Build and evolve platform capabilities for event capture, validation, routing, buffering, replay, backpressure handling, and delivery guarantees.
Design service APIs, platform contracts, and control-plane workflows that enable safe, reliable adoption by other engineering teams.
Drive technical decisions around scaling, reliability, consistency, partitioning, idempotency, fault isolation, and graceful degradation.
Improve observability, alerting, incident response, root-cause analysis, and operational readiness for critical platform services.
Lead capacity planning, performance tuning, and cost-efficiency efforts for high-throughput distributed systems.
Develop automation and tooling that reduce operational toil and improve deployment, debugging, and recovery workflows.
Partner with engineering and product stakeholders to translate broad platform requirements into durable technical solutions.
Lead design reviews, mentor engineers, and raise the technical bar for distributed systems engineering across the team.
Identify architectural debt, scaling bottlenecks, and reliability gaps, and drive pragmatic modernization efforts.