Sr. Software Engineer- Cloud Infrastructure and DevOps
PayPal · San Jose, California, United States of America ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- Devops
- Experience
- 3+ years
PayPal · San Jose, California, United States of America ·
The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
This job delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC). It involves advising management on project-level issues, guiding junior engineers, operating with little supervision, and applying knowledge of technical best practices. In this role, you will be a key contributor to our AI-powered tooling initiative, designing and building intelligent systems that enhance the productivity, reliability, and velocity of Venmo's Cloud Infrastructure and DevOps engineering teams.Job Description:
Essential Responsibilities:
Minimum Qualifications:
Additional Responsibilities & Preferred Qualifications:
Engineering at Venmo
At Venmo, we are creating a product that people love. We strive to create a delightful user experience while connecting the world and empowering people through payments. We are looking for intellectually curious people who want to be inspired and inspire others to change the world.
Engineering is a craft, and at Venmo we want the internals of our software to be as elegant as the end user experience we are designing. We spend our days scaling our infrastructure and building new features to meet and exceed our users’ needs and wants. We work with a product team that is data-driven and human-centered in its design principles. We teach and learn from one another and push each other to be at our creative and analytical best.
Our team is dedicated to ensuring the seamless operation of all user-facing services, as well as production and development systems. We manage Venmo’s infrastructure comprehensively, encompassing operations, automation, security, compliance, and release engineering. While we are focused on Cloud Engineering, our work integrates elements of Site Reliability Engineering (SRE) and DevOps projects as well.
On the DevOps front, we oversee CI/CD infrastructure, develop smart and secure pipelines, implement self-service secret management systems, create development environments, and establish microservices scaffolding and testing frameworks. The quality of the systems we build is paramount to the company, and we prioritize it highly. Our infrastructure must be delivered automatically, thoroughly tested, and scanned for vulnerabilities through synthetic tests.
As a Senior Engineer on the AI Tooling team, you will design and build AI-powered tools and integrations that directly improve how Venmo's Cloud Infrastructure and DevOps engineers work. You are a hands-on contributor who bridges deep cloud/DevOps knowledge with applied AI development—building solutions like LLM-powered runbook assistants, intelligent alerting systems, AI-assisted infrastructure code generation, and autonomous remediation tooling. You teach by example and mentor other engineers on how to effectively integrate AI into engineering workflows.
Our technical stack: AWS, EKS, Docker, GitHub Enterprise, Terraform, GitHub Actions, DataDog, Bash, Python, Go.
What You'll Do
Act as a hands-on contributor, while leading by example
Mentor junior engineers
Enjoy a high degree of independence in decision-making while being accountable for results of yourself and your team
Be part of a team dedicated to driving the scalability and reliability of Venmo's AWS cloud infrastructure
Contribute to initiatives: internal teams rarely have dedicated project managers. You will define the design, identify stakeholders, navigate risks and changes, coordinate colleagues' work, implement solutions, and be accountable for timely and quality project delivery
Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures
Lead by example, making meaningful contributions to the improvement of engineering teams' production operations
Develop and improve tools and automation to manage infrastructure and application configuration as code
Enhance the quality, reliability, and stability of our infrastructure and operations
Design and build LLM-powered tools that assist Cloud Infrastructure and DevOps engineers with tasks such as runbook generation, incident triage, configuration review, and root cause analysis
Develop AI-assisted automation pipelines that reduce toil and accelerate common infrastructure workflows (e.g., provisioning, scaling, deployment)
Integrate AI capabilities into existing developer tooling, CI/CD pipelines, and observability platforms
Build and maintain internal AI platforms and APIs that enable other engineering teams to leverage LLM and ML capabilities in their own workflows
Evaluate and drive adoption of emerging AI tools, frameworks, and models relevant to cloud and DevOps use cases
Establish best practices for responsible AI use in engineering workflows, including evaluation, safety, and observability of AI-generated outputs
What We're Looking For
Bachelor's in computer science or related field of study
5+ years' experience in software development or a related field
3+ years' experience operating distributed applications 24x7x365, as part of a Cloud Engineering, DevOps, and/or SRE team
Extensive hands-on experience with designing, implementing, and supporting infrastructure (AWS experience preferred) to support global-scale services
Deep hands-on experience with IaaS and PaaS solutions from AWS (or similar cloud provider)
Hands-on programming and scripting (Python, Java, Bash, Go)
Hands-on experience with containers and container orchestration: Docker, Kubernetes
Strong communication skills with the ability to understand and explain technical issues to a non-technical audience
Hands-on experience building applications with LLMs or generative AI frameworks (e.g., LangChain, LlamaIndex, OpenAI API, Amazon Bedrock, or similar)
Experience with prompt engineering, retrieval-augmented generation (RAG), and LLM evaluation techniques
Experience integrating AI/ML capabilities into developer tools, CLIs, chatbots, or internal platforms
Familiarity with AI observability, output safety, and responsible AI practices in production systems
Experience with ML model serving, vector databases, or embedding pipelines is a plus
Ability to translate ambiguous engineering pain points into well-scoped AI-powered solutions
Subsidiary:
PayPalTravel Percent:
0-
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:Primary Location | Pay Range:
San Jose, California | ($143,500.00 - $212,850.00 Annually)Additional Location(s) | Pay Range:
Austin, Texas | ($130,500.00 - $193,600.00 Annually)
Scottsdale, Arizona | ($123,500.00 - $183,700.00 Annually)
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit .
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are:
Click Here to learn more about our culture and community.
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.