Software Engineer

Overview

Software Engineer role in PayPal's AI Ops & Engineering team, part of the Site Reliability Engineering (SRE) organization, helping build and grow an AI-based Reliability Solutions Practice.

What you'll do

• Implement tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff.
• Follow well-established internal conventions and standard procedures.
• Understand internal standards and processes and apply them to make technical decisions.
• Collaborate with peers, manager, and project lead to gain understanding of tasks and review solutions.
• Contribute to code and design reviews.
• Design, develop, and maintain scalable backend services and platforms for Site Reliability use cases using Java.
• Build and deploy production-grade applications and RESTful APIs that are scalable, secure, and maintainable.
• Collaborate cross-functionally with product, infrastructure, and SRE teams to translate reliability pain points into engineering solutions.
• Contribute to system design and architecture decisions that ensure scalability, reliability, and maintainability.
• Write clean, well-tested code, participate in code reviews, and follow engineering best practices.
• Share knowledge within the team.
• Where relevant, explore opportunities to apply AI/GenAI to improve automation and engineering workflows.

What you'll need

• 1+ years relevant experience and a Bachelor's degree, OR any equivalent combination of education and experience.
• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3+ years of experience designing, developing, and deploying scalable software.
• Experience with front-end technologies such as React.js or Node.js.
• Strong Java coding skills, with hands-on experience building scalable applications and services.
• Experience with RESTful APIs, microservices, and cloud platforms.
• Solid understanding of system design principles and experience with large-scale, fault-tolerant distributed systems.
• Experience working in Agile, fast-paced environments, with the ability to collaborate across teams.
• Good analytical and problem-solving skills.
• Strong verbal and written communication skills.
• Flexibility and willingness to learn new technologies and adapt quickly.

Nice to have

• Familiarity with AI or GenAI.
• Knowledge of AI/GenAI concepts such as LLMs, prompt engineering, or RAG.
• Familiarity with tools like Python, LangChain, or LLM APIs.

Details

• Location: Chennai, Tamil Nadu, India.
• Work mode: balanced hybrid model, 3 days in the office and 2 days at your choice of PayPal office or home workspace (for the majority of employees).
• Subsidiary: PayPal Travel.