Software Engineer

About the role

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.

Software Engineer – Backend Engineering (SRE & Reliability)

About the Team and the Role

At eBay, our engineering teams build and operate highly scalable, reliable, and high-performance systems that power commerce experiences for millions of users globally.

We are looking for a Software Engineer – Backend Engineering with strong software development expertise and hands-on experience in Site Reliability Engineering (SRE), observability, production troubleshooting, and incident management.

The ideal candidate will bring a backend-first engineering mindset, with a strong understanding of distributed systems, microservices, and cloud-native architectures, along with the ability to build resilient applications, improve system reliability, and resolve complex production challenges.

This role combines backend software development with reliability engineering practices, working closely with Architecture, Platform, SRE, and Operations teams to deliver scalable, highly available, and fault-tolerant solutions.

What You Will Accomplish

• Backend Development: Design, develop, test, and maintain scalable backend services, RESTful APIs, and microservices using modern programming languages such as Java, Go, or Python.
• System Reliability & Performance: Build highly available, fault-tolerant, and resilient backend applications, focusing on performance optimization, scalability, and operational efficiency.
• Observability & Monitoring: Implement and enhance application monitoring, logging, distributed tracing, and alerting using tools such as Prometheus, Grafana, ELK, and OpenTelemetry.
• Incident Management & Troubleshooting: Investigate and resolve complex production issues, perform root cause analysis (RCA), and implement sustainable engineering solutions to prevent recurring incidents.
• Distributed Systems Engineering: Develop and optimize distributed systems, microservices, and cloud-native applications to ensure reliability and seamless service performance.
• Automation & Engineering Excellence: Build automation tools, improve deployment processes, and reduce operational overhead through engineering-driven solutions.
• Production Support & Operational Readiness: Participate in incident response, production debugging, reliability reviews, and continuous improvement initiatives.
• Cross-Functional Collaboration: Partner with Engineering, Architecture, SRE, and Operations teams to improve application design, system availability, observability, and overall platform reliability.

What You Will Bring

• 4+ years of professional software engineering experience, primarily in backend development, distributed systems, or platform engineering.
• Strong programming expertise in Java, Go, or Python, with hands-on experience developing production-grade backend applications.
• Experience designing and developing REST APIs, microservices, and scalable distributed systems.
• Strong understanding of data structures, algorithms, object-oriented design, system design, and software engineering best practices.
• Hands-on experience with Spring Boot or equivalent backend development frameworks.
• Experience with cloud platforms, Kubernetes, Docker, CI/CD pipelines, and modern deployment practices.
• Practical knowledge of SRE principles, application reliability, observability, and production incident management.
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, Splunk, or OpenTelemetry.
• Strong debugging, troubleshooting, and root cause analysis (RCA) skills for complex production systems.
• Familiarity with application performance monitoring, logging, distributed tracing, alerting, and incident response.
• Understanding of databases, caching, messaging systems, and performance optimization in distributed environments.
• Strong problem-solving, collaboration, and communication skills, with the ability to work effectively across engineering teams.

Good to Have

• Experience building internal developer tools, reliability automation, or operational platforms.
• Knowledge of SRE practices such as SLIs, SLOs, SLAs, error budgets, and capacity planning.
• Experience with Kafka, Redis, or other distributed messaging and caching technologies.
• Exposure to infrastructure-as-code tools such as Terraform.
• Experience supporting large-scale, high-traffic production environments.

Ideal Candidate Profile

A strong Backend Software Engineer (Java/Go/Python) with experience building scalable microservices and distributed applications, complemented by practical exposure to SRE, observability, incident management, production debugging, and system reliability.

Primary Focus: Backend Engineering

Secondary Focus: SRE, Observability, Incident Management & Reliability

Additional Details

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