Sr. Software Engineer- Cloud Infrastructure and DevOps
PayPal•San Jose, CA
•$123,500 - $212,850•Hybrid
About The Position
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.
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
Nice To Haves
- 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
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
- 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
Benefits
- generous paid time off
- healthcare coverage for you and your family
- resources to create financial security
- support your mental health
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What This Job Offers
Job Type
Full-time
Career Level
Senior
