This role pays more than
68%
of similar roles. Most pay
$134,437–$192,162
— the shaded band above.
At the midpoint, this role pays about
$178k
versus about
$163k
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 Venmo team, you will join the AI Tooling initiative to design and build intelligent systems that enhance the productivity and reliability of Cloud Infrastructure and DevOps engineering teams. You will act as a project leader, mentoring junior engineers while independently managing the full software development lifecycle. Your daily work involves building LLM-powered tools for runbook assistance, incident triage, and automated infrastructure code generation to reduce operational toil. The role requires expertise in AWS, EKS, Docker, Terraform, GitHub Actions, DataDog, Bash, Python, and Go. You will also utilize frameworks like LangChain or LlamaIndex and manage vector databases to integrate generative AI into CI/CD pipelines and observability platforms. This role solves the challenge of scaling infrastructure while automating complex cloud operations through advanced machine learning integrations.
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 runbook generation and incident triage.
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.
Manage the full software development lifecycle by defining project designs, identifying stakeholders, and ensuring timely delivery of high-quality solutions.
Troubleshoot production incidents, identify root causes, and implement preventive measures to ensure infrastructure stability.
Mentor junior engineers and lead by example in adopting AI tools and best practices within engineering workflows.
Develop and improve automation tools to manage infrastructure and application configurations as code.
What we're looking for
Bachelor's degree in computer science or a related field of study.
5+ years of experience in software development or a related field.
3+ years of experience operating distributed applications as part of a Cloud Engineering, DevOps, and/or SRE team.
Extensive hands-on experience designing, implementing, and supporting infrastructure for global-scale services, preferably on AWS.
Hands-on programming and scripting skills in Python, Java, Bash, and Go.
Experience with containerization and orchestration using Docker and Kubernetes.
Hands-on experience building applications with LLMs or generative AI frameworks like LangChain, LlamaIndex, OpenAI API, or Amazon Bedrock.
Expertise in prompt engineering, retrieval-augmented generation (RAG), and LLM evaluation techniques.