Software Engineer - MTS

JOB DESCRIPTION

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.

The eBay Ads team builds the advertising and promotion experiences that power growth for sellers and delight buyers on one of the world’s most trafficked and loved commerce platforms. We are a highly collaborative group of engineers, data scientists/applied researchers, product managers, designers, and analysts who experiment, learn, and ship at scale.

As a Staff Engineer, you will be a hands‑on technical leader shaping the next generation of our ads platform, with a focus on large‑scale applications, low‑latency APIs, and robust data pipelines. You will partner closely with cross‑functional teams to design and deliver capability‑oriented architectures, guide the software development lifecycle end to end, and help grow an inclusive, high‑performing engineering culture.

• Define, design, and implement highly scalable, resilient, and performant distributed systems and low‑latency APIs that improve customer experience across eBay’s Ads platform.
• Deliver high‑quality services and data‑driven applications end to end—leading design, implementation, testing, and rollout—while rigorously following Definition of Done (DoD) and release criteria for reliability and quality.
• Partner with architects, product managers, engineers, data scientists/applied researchers, analysts, and operations teams to build innovative, data‑informed solutions aligned with eBay’s business goals and technical principles.
• Lead product and system design efforts, producing clear, well‑structured technical design documents and driving design and code reviews that raise engineering standards for the team.
• Provide day‑to‑day technical leadership, coaching, and mentorship to engineers—supporting hiring efforts, onboarding, and growth of junior team members—while leading by example and sharing knowledge broadly.
• Serve as a strong agile leader for your scrum team, effectively running scrum ceremonies, aligning on priorities, and driving work to successful completion in a fast‑paced, dynamic environment.

• Bachelor’s degree in Computer Science or related field with 8+ years of relevant experience, or Master’s degree with 6+ years of experience, or equivalent practical experience in software engineering.
• Strong foundation in computer science, including system architecture, distributed systems, data structures, algorithms, object‑oriented analysis and design, and functional programming.
• Hands‑on experience building services and APIs using Java and/or Scala and RESTful web services, with a track record of delivering production systems at scale.
• Experience building data‑driven applications using both relational databases (RDBMS) and No
  
  SQL technologies, with an emphasis on scalability, reliability, and performance.
• Proven experience designing and operating highly scalable, fault‑tolerant distributed systems and services for large web sites, leveraging big data and streaming technologies such as Spark, Flink, and Kafka.
• A self‑driven, ownership‑oriented mindset, with a delivery‑focused approach and the ability to thrive in a collaborative, fast‑paced environment—planning, implementing, and driving product work to successful completion with cross‑functional partners.

The base pay range for this position is expected in the range below:

C $142,400 - C $190,100

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.…