Sr Software Engineer at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Development, Distributed Systems, Java, Python, BigQuery, SQL, Data Modeling, Performance Tuning, Kafka, Spark, Cloud-Native Architectures, Microservices, Container Orchestration, A/B Testing, Mentoring, Communication

Industry

Software Development

Description

Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles. Advises immediate management on project-level issues Guides junior engineers Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices Applies knowledge of technical best practices in making decisions Build fault-tolerant, high-performance APIs and data services that integrate with BigQuery and other analytics platforms. Drive end-to-end ownership of backend features, from architecture and implementation to deployment and operational support. Partner with Product, Data Science, and ML teams to evolve experimentation methodologies, scorecarding, and analytics integrations. Mentor engineers, conducting design/code reviews and fostering best practices for backend and distributed system development. Troubleshoot complex distributed system issues and implement sustainable, long-term fixes. Identify platform gaps and propose backend-focused enhancements that improve reliability, scalability, and developer experience. 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. 5+ years of professional software engineering experience, with strong focus on backend development and distributed systems. Expertise in one or more backend programming languages (Java, Python, or equivalent), with experience designing high-throughput, low-latency services. Hands-on experience with BigQuery or other large-scale data warehouses, including SQL proficiency, data modeling, and performance tuning. Experience with distributed data pipelines, streaming/messaging systems (e.g., Kafka, Spark), or large-scale analytics platforms. Deep understanding of system design trade-offs for scalability, resiliency, and fault tolerance. Proficiency in cloud-native architectures, microservices, and container orchestration (Docker, Kubernetes). Familiarity with experimentation platforms, A/B testing frameworks, or measurement systems. Track record of mentoring engineers and driving technical improvements in backend systems. Excellent communication skills with ability to partner across product, engineering, and data science functions. Passion for building robust backend platforms that enable data-driven decision making at enterprise scale.

Responsibilities

The Sr Software Engineer will deliver complete solutions across all phases of the Software Development Lifecycle, guiding junior engineers and making technical decisions. They will build high-performance APIs and data services, troubleshoot complex issues, and propose enhancements for reliability and scalability.