Principal Engineer, Cloud Data Infrastructure

Jobtailor

California (MO)

On-site

USD 220,000 - 320,000

Full time

44 hours ago
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Job summary

Venmo is seeking a senior technical leader to architect and scale its data platform and real-time payment infrastructure. You will drive the technology roadmap, mentor engineers, and stay hands-on while guiding strategic decisions.

The role emphasizes AI-first engineering, high reliability, and cross-functional collaboration with executive stakeholders. Ideal candidates bring 15+ years in software or data platforms, deep experience with distributed systems, and strong communication skills to

Qualifications

  • 10+ years experience with a Bachelor’s degree or equivalent.
  • 15+ years in software engineering or data platform roles.
  • Bachelor’s in computer science, engineering, or equivalent.
  • 5+ years operating large-scale distributed systems in production clouds.
  • Deep hands-on experience with relational and NoSQL databases, caching, and queues.
  • Strong DevOps and automation-first operations for data systems.

Responsibilities

  • Serve as technical authority for Venmo’s data platform infrastructure and performance engineering.
  • Set the technology vision and define architectural direction for databases, data pipelines, messaging, caching, and performance.
  • Provide deep technical leadership for teams supporting real-time payments at scale.
  • Remain hands-on with code while owning technical strategy.
  • Mentor the data platform engineering community and influence executive decisions.

Skills

Distributed systems
Relational & NoSQL
DevOps & IaC
AI-ML workflows
Executive communication

Education

Bachelor's in CS/Engineering

Tools

Vector databases
Feature stores
LLM serving infra
CI/CD for data systems

Job description

  • Serve as technical authority for Venmo’s data platform infrastructure and performance engineering
  • Set the technology vision and define architectural direction for mission-critical databases, data pipelines, messaging systems, caching infrastructure, and performance engineering
  • Provide deep technical leadership for teams powering Venmo’s real-time payment processing at massive scale
  • Remain hands-on with code and systems while owning technical strategy
  • Pioneer AI-first engineering practices
  • Mentor the Venmo data platform engineering community
  • Serve as the primary technical voice in cross-functional and executive-level conversations
  • Increase the results and effectiveness of software engineers in a large domain
  • Set the technology roadmap for a domain
  • Adapt technical approaches to achieve goals
  • Advise senior PayPal executives and influence multi-year business strategies
  • Handle ambiguous and unfamiliar situations and deliver decisive resolutions
  • Conduct discovery and exploratory research
  • Identify cross-project and cross-team themes and broadly impactful improvement opportunities
  • Determine when to adopt industry-standard solutions versus build novel solutions
  • Mentor others to propagate technical influence and enhance organizational performance
Requirements
  • 10+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience
  • 15+ years of professional experience in software engineering or data platform roles
  • Bachelor’s degree in computer science, engineering, or equivalent practical experience
  • 5+ years building and operating large-scale distributed systems in production cloud environments
  • Deep hands-on expertise across relational and NoSQL databases, distributed caching, and message queue architectures
  • Strong DevOps engineering background, including infrastructure as code, CI/CD for data systems, and automation-first operational practices
  • Experience with AI-first development practices and applying AI tooling to accelerate engineering productivity
  • Track record delivering performance improvements and scalability enhancements for consumer-facing applications serving tens of millions of users
  • Technical influence across large engineering organizations without direct management authority
  • Strong written and verbal communication skills, including presenting complex technical trade-offs to executive stakeholders
  • Background in financial technology, payments processing, or regulated industries preferred
  • Experience supporting transaction processing systems requiring extreme reliability and millisecond-level response times preferred
  • Familiarity with resilience engineering, failure injection testing, and business continuity planning preferred
  • Knowledge of modern data pipeline frameworks and real-time analytics architectures preferred
  • Experience mentoring and growing senior/staff-level engineers into technical leadership roles preferredExperience integrating AI/ML workflows into data platform infrastructure, including vector databases, feature stores, or LLM serving infrastructure preferred
Core Competencies

Demonstrates deep technical leadership in data platform infrastructure and performance engineering, with expertise in large-scale distributed systems, AI-first engineering practices, and mentoring senior engineers. Proven ability to influence technical strategy and drive performance improvements in high‑stakes environments.

Highest-signal resume keywords
  • 10+ Years Relevant Experience
  • Deep Hands-On Expertise in Relational and NoSQL Databases
  • Strong DevOps Engineering Background
  • Experience with AI-First Development Practices
  • Technical Influence Across Large Engineering Organizations
ATS Optimization Keywords
Hard Skills
  • Software Engineering
  • Data Platform Engineering
  • Distributed Systems
  • Relational Databases
  • NoSQL Databases
  • CI/CD for Data Systems
  • Performance Improvements
  • Scalability Enhancements
  • Resilience Engineering
  • AI/ML Workflows Integration
Soft Skills
  • Strong Written Communication
  • Strong Verbal Communication
  • Mentoring
  • Decisive Problem Solving
  • Cross-Functional Collaboration
Industry Keywords
  • Financial Technology
  • Payments Processing
  • Regulated Industries
  • Transaction Processing Systems
  • Business Continuity Planning
Tools & Technologies
  • Infrastructure as Code
  • Automation-First Operational Practices
  • Modern Data Pipeline Frameworks
  • Real-Time Analytics Architectures
  • Message Queue Architectures
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