This role pays more than
68%
of similar roles. Most pay
$131,525–$192,162
— the shaded band above.
At the midpoint, this role pays about
$178k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About PayPal
PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.
PayPal currently has
49 open roles
on FindRole.
Listed pay typically runs
$160,500–$235,826
across 49 roles with salary data.
Sr. Software Engineer- Cloud Infrastructure and DevOps
As a member of the AI Tooling team, you will serve as a key contributor to Venmo's infrastructure by designing and building intelligent systems that enhance the productivity and reliability of Cloud Infrastructure and DevOps engineering teams. You will develop LLM-powered tools for runbook generation, incident triage, and automated remediation while integrating AI capabilities into CI/CD pipelines and observability platforms. This role requires hands-on experience with AWS, EKS, Docker, GitHub Enterprise, Terraform, GitHub Actions, DataDog, Bash, Python, and Go. You will also utilize frameworks like LangChain or LlamaIndex to build tools that reduce toil in infrastructure workflows. The role focuses on solving the challenge of scaling cloud operations by creating automated systems for configuration management, security, and deployment within a high-scale payment services environment.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Design and build LLM-powered tools to assist Cloud Infrastructure and DevOps engineers with tasks like incident triage and runbook generation.
Develop AI-assisted automation pipelines to reduce manual toil in infrastructure workflows such as provisioning, scaling, and deployment.
Integrate AI capabilities into existing developer tooling, CI/CD pipelines, and observability platforms.
Build and maintain internal AI platforms and APIs for other engineering teams to leverage LLM and ML capabilities.
Act as a project leader by defining designs, identifying stakeholders, managing risks, and coordinating the work of other engineers.
Mentor junior engineers on how to effectively integrate AI into their daily engineering workflows.
Troubleshoot incidents, identify root causes, and implement preventive measures for production systems.
Establish best practices for responsible AI use, including safety and observability of AI-generated outputs.
What we're looking for
Bachelor's degree in computer science or a related field of study.
5+ years of relevant experience in software development or a related field.
3+ years of experience operating distributed applications in a Cloud Engineering, DevOps, and/or SRE capacity.
Extensive hands-on experience designing and supporting infrastructure for global-scale services using AWS and container orchestration like Docker and Kubernetes.
Proficiency in programming and scripting with Python, Java, Bash, or Go.
Experience building applications with LLMs or generative AI frameworks including LangChain, LlamaIndex, OpenAI API, or Amazon Bedrock.
Expertise in prompt engineering, retrieval-augmented generation (RAG), and LLM evaluation techniques.
Strong communication skills to explain technical issues to non-technical audiences.