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Senior Software Engineer - Full Stack at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Mar, 26

Salary

0.0

Posted On

27 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

React, TypeScript, JavaScript, Redux, Java, Node.js, Python, Go, REST APIs, Microservices, Distributed Systems, Cloud Environments, Docker, Kubernetes, CI/CD, Automated Testing, Machine Learning

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 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Strong proficiency in frontend technologies such as React, TypeScript, JavaScript, Redux, or modern UI frameworks. Experience building robust backend services using Java, Node.js, Python, or Go. Strong understanding of REST APIs, microservices, and distributed systems. Experience integrating with cloud environments (GCP, AWS, Azure) and containerized services (Docker, Kubernetes). Familiarity with relational and NoSQL databases, caching systems, and data modeling principles. Solid understanding of CI/CD, automated testing, observability, and secure software development practices. Excellent communication skills, with the ability to translate user needs into technical solutions. Experience developing tools that support ML workflows (feature management, model monitoring, dashboards, experimentation tooling). Familiarity with data streaming frameworks (Kafka, Flink) or real-time data processing pipelines. Experience working with ML model metadata, feature stores, or model registries. Understanding of A/B testing methodologies and experimentation dashboards. Background building internal developer tools or platform engineering products.

Responsibilities

Delivers complete solutions across all phases of the Software Development Lifecycle (SDLC) and advises management on project-level issues. Guides junior engineers and operates with minimal supervision, making technical decisions based on best practices.