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About the Role

This role delivers complete solutions across the Software Development Lifecycle (SDLC), advising management, guiding junior engineers, and operating with minimal supervision. You will be a key contributor to an AI-powered tooling initiative, designing and building intelligent systems to enhance the productivity, reliability, and velocity of Venmo's Cloud Infrastructure and DevOps engineering teams.

Responsibilities

• Acts as a project or system leader, coordinating the activities of other engineers.
• Determines the technical tasks that other engineers will follow.
• Actions result in the achievement of customer, operational, program or service objectives.
• Proactively improves existing structures & processes.
• Exercises judgement in reconciling diverse and competing priorities to identify optimal solutions.
• Notices patterns and condenses repetition into densely meaningful generalized solutions.
• Collaborates with management to set/improve standards for engineering rigor.
• Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations.
• 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: 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.
• 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.

Requirements

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• 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.

Skills

• AI-powered tooling
• Cloud Infrastructure
• DevOps
• Software Development Lifecycle (SDLC)
• AWS
• EKS
• Docker
• GitHub Enterprise
• Terraform
• GitHub Actions
• DataDog
• Bash
• Python
• Go
• LLM-powered runbook assistants
• Intelligent alerting systems
• AI-assisted infrastructure code generation
• Autonomous remediation tooling
• LLM-powered tools
• AI-assisted automation pipelines
• Prompt engineering
• Retrieval-augmented generation (RAG)
• LLM evaluation techniques
• AI/ML capabilities
• AI observability
• Output safety
• Responsible AI practices
• ML model serving
• Vector databases
• Embedding pipelines

Location

• San Jose, California
• Austin, Texas
• Scottsdale, Arizona

Work Type

• Hybrid

Experience Level

• 5+ years relevant experience
• 3+ years' experience operating distributed applications 24x7x365
• Senior Engineer

Education Level

• Bachelor's degree
• Bachelor's in computer science or related field of study

Salary/Compensations

• San Jose, California: ($143,500.00 - $212,850.00 Annually)
• Austin, Texas: ($130,500.00 - $193,600.00 Annually)
• Scottsdale, Arizona: ($123,500.00 - $183,700.00 Annually)

Benefits

• Comprehensive, choice-based programs to support physical, emotional, and financial wellbeing.
• Generous paid time off.
• Healthcare coverage for you and your family.
• Resources to create financial security and support your mental health.

About 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.
• We empower 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.
• Our beliefs are the foundation for how we conduct business every day: Inclusion, Innovation, Collaboration, and Wellness.
• At Venmo, we are creating a product that people love, striving to create a delightful user experience while connecting the world and empowering people through payments.
• We spend our days scaling our infrastructure and building new features to meet and exceed our users’ needs and wants.
• 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.
• Our infrastructure must be delivered automatically, thoroughly tested, and scanned for vulnerabilities through synthetic tests.
• PayPal is on a mission to revolutionize commerce globally, driving our company, industry, and society forward with vision and velocity.

Equal Opportunity

• 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.
• PayPal will provide reasonable accommodations for qualified individuals with disabilities.
• 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.