Sr. Software Engineer- Cloud Infrastructure and DevOps

Venmo; Austin (TX); On-site; USD 131,000 - 194,000; Full time

Job summary

Venmo is seeking a Senior Engineer to drive AI-powered tooling across its Cloud Infrastructure and DevOps teams. You will design, implement, and mentor while delivering scalable, reliable infrastructure and intelligent systems that boost productivity.

You will work with AWS, EKS, Terraform, and CI/CD pipelines, shaping practices for AI-enabled runbooks, alerting, and automation. Strong software foundations and collaboration are essential.

Qualifications

• Bachelor's degree or equivalent in CS or related field.
• 5+ years of software development experience.
• Experience leading projects or engineers within a team.

Responsibilities

• Act as hands-on contributor while leading by example.
• Mentor junior engineers and coordinate team efforts.
• Design and build AI-powered tooling for Cloud Infra and DevOps.
• Develop and improve CI/CD pipelines and automation.
• Ensure reliability, security, and observability of systems.

Skills

Cloud engineering

Python

Go

Docker

Kubernetes

LLMs / AI tooling

Education

Bachelor's in Computer Science or related field

Tools

AWS

Terraform

GitHub Actions

DataDog

Bash

Go

Job description

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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

• Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
• 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 (time, quality, complexity risk) to identify optimal solutions to problems
• 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

Minimum Qualifications

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

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

Venmo

Travel Percent

0

Pay Range

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)

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Our Benefits

• Comprehensive, choice‑based programs to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most.
• 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

PayPal’s culture is built around inclusion, innovation, collaboration, and wellness.

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 [e-mail].

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.

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