Sr Backend Engineer Ai & Platform jobs at Paypal in Singapore, Singapore

Essential Responsibilities:

• 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

Expected Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Our mission atGlobal Solutions Engineering (GSE)is to deliver scalable, reusable, quality capabilities and solutions that drive platform build, accelerate business growth, power global innovation, and foster cross-domain collaboration for speed to market. We are seeking for a passionate and self-motivated software engineer with development experience in industry. The ideal candidate will collaborate with cross-functional teams to build scalable microservices and support the entire software development lifecycle from design to production.

• Develop & implement tests for ensuring the quality, performance and scalability of our services.
• Participate in code reviews and knowledge sharing.
• Write unit, integration and functional tests thoroughly.
• Engage proactively in monitoring and provide necessary production support.
• Identify and propose application improvements.

What are we looking for in a Sr Software Engineer:

• Backend: Java, and at least one modern backend framework (Spring; Spring Boot, Spring MVC; Spring Cloud, Node.js). Experience with Microservices Architecture and RESTful APIs; GraphQL, gRPC.
• Full stack: Microservices Architecture, Restful APIs design, High Scalability & Performance, Front-End (React, Node.js), and Back-End (Java).
• Good written and verbal communication skills.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• 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

Expected Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Our mission atGlobal Solutions Engineering (GSE)is to deliver scalable, reusable, quality capabilities and solutions that drive platform build, accelerate business growth, power global innovation, and foster cross-domain collaboration for speed to market. We are seeking for a passionate and self-motivated software engineer with development experience in industry. The ideal candidate will collaborate with cross-functional teams to build scalable microservices and support the entire software development lifecycle from design to production.

• Develop & implement tests for ensuring the quality, performance and scalability of our services.

• Participate in code reviews and knowledge sharing.

• Write unit, integration and functional tests thoroughly.

• Engage proactively in monitoring and provide necessary production support.

• Identify and propose application improvements.

What are we looking for in a Sr Software Engineer:

• Backend: Java, and at least one modern backend framework (Spring; Spring Boot, Spring MVC; Spring Cloud, Node.js). Experience with Microservices Architecture and RESTful APIs; GraphQL, gRPC.

• Full stack: Microservices Architecture, Restful APIs design, High Scalability & Performance, Front-End (React, Node.js), and Back-End (Java).

• Good written and verbal communication skills.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff
• Follows well-established internal conventions and standard procedures
• Understands internal standards & processes an applies them to make technical decisions
• Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions
• May contribute to code & design reviews

Expected Qualifications:

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Our Benefits:

Any general requests for consideration of your skills, please

• Design, develop and implement LLM-based agent systems using advanced machine learning techniques
• Collaborate with other machine learning scientists and engineers to experiment and implement advanced ML/AI techniques for customer service applications
• Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, Hadoop, SQL
• Analyze data covering customer interactions, transaction history and user profiles to identify opportunities for customer service enhancement
• Build end-to-end ML pipelines from data ingestion to model deployment and monitoring
• Communicate complex concepts and the results of analyses in a clear and effective manner through creative visualization to stakeholders of varying technical levels

• Bachelor's / Master's / PhD degree relevant to Machine Learning, Computer Science, Data Science, AI, or related technical field
• Strong knowledge of LLMs, agents, LLM/Agent evaluation, and prompt engineering; experience with finetuning and reinforcement learning is a plus
• Strong knowledge of conversational AI and understanding of dialog systems. Proficient with Python, SQL, ML frameworks (PyTorch), Tableau dashboarding for data visualization, and Deep Learning/NLP
• Good business sense and logical thinking. Ability to synthesize information and generalize patterns
• Strong debugging and triaging skills to identify gaps in current solutions and suggest fixes/enhancements
• Proven ability to work independently and proficiently on well-defined projects; focuses primarily on achieving overall business objectives with speed and quality
• Effective interpersonal skills. Able to collaborate with remote teams effectively
• Skilled in presenting – can effectively communicate in large or small group settings

• This is a 5-6 months internship role starting in January 2026

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead complex data engineering projects, ensuring they meet business objectives and deliver actionable insights.
• Develop advanced data architectures and pipelines to analyze large datasets and solve complex business problems.
• Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
• Implement best practices for data management, analysis, and visualization.
• Ensure data governance and compliance with relevant regulations and standards.
• Provide mentorship and technical guidance to the data engineering team.

Expected Qualifications:

• Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Previous management experience

Preferred Qualification:

• Bachelor/Master’s degree in Compter Science/Engineering or equivalent
• 10+ years experience in bigdata technology with hands on experience on Hadoop/Spark/Airflow /Hive/HBase related and good understanding on ETL, scheduling and data modeling
• Rich experience with data warehousing architecture, data modeling best practices, data quality mechanism and data governance process
• Excellent communication skills, proficient in written and oral English
• Strong leadership with 5+ years of data engineering team management experience

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff
• Follows well-established internal conventions and standard procedures
• Understands internal standards & processes an applies them to make technical decisions
• Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions
• May contribute to code & design reviews

Expected Qualifications:

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Our mission atGlobal Solutions Engineering (GSE)is to deliver scalable, reusable, quality capabilities and solutions that drive platform build, accelerate business growth, power global innovation, and foster cross-domain collaboration for speed to market. We are seeking for a passionate and self-motivated software engineerwithdevelopment experience in industry. The ideal candidate will collaborate with cross-functional teams to build scalable microservices and support the entire software development lifecycle from design to production.

• Design and develop scalable payment processing systems to ensure high availability and low latency for financial transactions.
• Write service level technical design doc and participate in architectural discussions
• Develop & implement tests for ensuring the quality, performance and scalability of our services.
• Participate in code reviews and knowledge sharing.
• Write unit, integration and functional tests thoroughly.
• Engage proactively in monitoring and provide necessary production support.
• Identify and propose application improvements.
• Collaborate with cross functional engineering teams globally to drive and align on solution

What are we looking for in a Software Engineer:

• Full stack: Back-End (Java, Spring framework) and Front-End (React, Node.js, Typescript). This role will focus more on Back-End work.
• Experience with Microservices Architecture and RESTful APIs; GraphQL, gRPC.
• Good written and verbal communication skills.
• Experience in using AI to help with coding work is a plus

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• 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

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Experience building scalable root cause analysis pipelines that process large volumes of data
Experience with monitoring system.
Experience with lineage system.

Our Benefits:

Any general requests for consideration of your skills, please