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Eventbrite is seeking a Principal Software Engineer to drive architectural changes and modernize their platform. This role involves leading multiple teams, advocating for scalable solutions, and collaborating globally with other engineering teams. The ideal candidate will have a deep understanding of computer science fundamentals, extensive application development experience, and expertise in cloud architectures. The tech stack includes Python/Django, NodeJS, Kotlin, and various AWS services. The position requires mentorship, teaching abilities, and a passion for live events.
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Develop state-of-the-art voice cloning and text-to-speech solutions
Implement low latency and cost-effective systems
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Design, build, and maintain distributed backend systems
Shape product decisions and contribute to technical discussions
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Representing the company in security discussions with customers and prospects.
Driving technical security discussions during pre-procurement stages.
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Lead and conduct advanced penetration testing projects
Exploit security vulnerabilities in Cloud Infrastructure
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Analyze threat actor behavior and abuse patterns
Research and implement abuse detection techniques
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Design and implement security solutions using AI technologies
Ensure compliance with infrastructure as code (IAC) standards
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Lead architecture for integrating features with LLMs and diffusion models
Maintain high quality AI features while delivering value incrementally
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Design, build, and maintain scalable distributed backend systems
Shape product decisions with product and engineering peers
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Lead design and scalability of Java-based backend services.
Optimize platform components for high-throughput workflows.
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Contribute to cutting-edge voice cloning and text-to-speech technologies
Develop efficient and high-performance backend solutions
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Analyze threat actor behavior and abuse patterns
Implement state-of-the-art LLM-driven techniques
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Lead high-priority incident escalation and containment
Automate monitoring with Python and Go
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Drive data velocity and production efficiency
Ensure end-to-end ownership of data lifecycle
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Build and maintain AWS data infrastructure using Spark and Scala
Scale core pipelines to support growth
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Design and build production-grade AI internal tools
Develop full-stack systems with modern frontend and cloud backends
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Build and deploy LLM-powered apps
Partner with stakeholders for automation opportunities
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Define AI/ML roadmap with cross-functional leaders
Lead AI/ML org and end-to-end product delivery
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Lead CRM/MarTech integration enhancements
Collaborate with various teams
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Review opportunities and ensure order compliance
Coordinate resolution of Order Form discrepancies
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Develop state-of-the-art voice cloning solutions
Implement efficient text-to-speech systems
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Serve as the primary security representative in customer engagements
Articulate security architecture, controls, and risk management approach
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers to shape product decisions
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Lead design, development, and optimization of Java backend services for AI Platform
Architect and integrate core data systems with high-performance requirements
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Analyze threat actor behavior and abuse patterns
Implement state-of-the-art techniques for abuse detection
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Deliver features independently with defined scope
Write well-tested, maintainable code
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Lead multiple engineering teams in Business Systems
Define strategy and roadmap with product, operations, and technology leaders
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Analyze threat actor behavior and abuse patterns.
Implement advanced techniques for abuse detection and prevention.
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Serve as the primary security representative in customer and prospect engagements.
Articulate security architecture, threat model, controls, and risk management approach.
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers
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Work with telemetry and geospatial data sets
Collaborate with engineers on geospatial data needs
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Provide technical leadership for adopting Databricks.
Consult on big data architecture and POCs for projects.
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Lead pre-sales technical strategy for strategic accounts
Advise on customer value and alignment with Docker
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Lead and mentor a high-performing team
Own the AIOps vision, strategy, and roadmap
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Develop and maintain ML systems for health feature analysis
Collaborate with Data Engineers to enhance ML data pipelines
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Take ownership of assigned problems and drive to completion
Participate in all SDLC phases
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Design, implement, and optimize backend and infrastructure
Collaborate with various teams for feature delivery and system health monitoring
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Design, build & maintain data infrastructure.
Enhance data monitoring & alerting.
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Build customer-facing self-serve products
Implement growth initiatives
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Develop and deploy AI models for voice cloning and text-to-speech
Prioritize tasks based on urgency and impact
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Analyze threat actor behavior and abuse patterns.
Implement state-of-the-art techniques for abuse detection.
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Lead and conduct advanced penetration testing
Define offensive security roadmap
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Lead design and development of Java-based backend services
Optimize platform components for high-throughput and low-latency
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Design, build, and maintain distributed backend systems.
Collaborate with product and engineering teams to shape product decisions.
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Design complex systems with teams
Build and manage backend services in AWS
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Lead and scale engineering organization for fundraising tools and payments
Drive PHP/React fundraising platform and .NET Core payments on AWS
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Design and maintain cloud-native infrastructure
Modernize identity infrastructure with Terraform
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Design complex backend systems
Build and extend features for fleet ops
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Architect, deploy, and maintain a scalable multi-tenant SaaS environment in AWS
Optimize AWS services for cost, performance, and reliability
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Lead design and development of internal tools
Implement and maintain build systems and CI/CD pipelines
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Lead end-to-end design and delivery of scalable data products.
Identify automation and integration opportunities.