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Analyze threat actor behavior and evolving abuse patterns across large, heterogeneous datasets to inform detection logic, policy decisions, and scalable mitigations. Research, prototype, and implement state-of-the-art LLM-driven techniques for abuse detection, classification, and prevention. Design and develop production-ready systems that detect and disrupt abusive behavior across the Vercel platform. Build, maintain, and fine-tune internal tools, datasets, and evaluation pipelines for trust and safety workflows. Collaborate closely with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems.
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Design, build, and maintain scalable distributed backend systems
Own backend services end-to-end
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Promote and enforce key information security practices
Identify and assess security risks
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Develop state-of-the-art voice cloning technology
Implement low latency text-to-speech solutions
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Lead the design, development, and scalability of core Java-based backend services
Champion best practices for Java development, testing, and observability
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Lead and conduct penetration testing
Provide expert guidance on security
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Develop and maintain backend systems for Foodsmart web application
Collaborate with front-end engineers to design APIs
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Own the technical side of the sales cycle
Act as a trusted advisor to customer stakeholders
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Contribute to roadmap and architecture
Write well-tested, maintainable code
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Define secure architecture patterns for cloud-native SaaS systems
Review and approve system designs for security risks
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Design, develop, and maintain platform elements
Collaborate with product stakeholders
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Design fault-tolerant multi-AZ/multi-region infrastructure
Implement multi-region deployments with regional routing
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Lead and conduct advanced penetration testing
Perform security assessments on Cloud Infrastructure
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers
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Analyze threat actor behavior and evolving abuse patterns
Implement state-of-the-art LLM-driven techniques for abuse detection
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Serve as the primary security representative in customer and prospect engagements.
Drive technical security discussions during pre-procurement stages.
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Develop and maintain AI model serving solutions
Deploy high availability applications on Kubernetes
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Lead the ML lifecycle from data ingestion to retraining.
Build and maintain CI/CD pipelines for ML models.
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Ensure platform reliability and scalability
Implement observability and drive faster response
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Architect, build, and operate AWS-based infrastructure
Drive reliability, security, and scalability
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Build and enhance React front-end app
Develop and maintain backend services
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Architect and operate production infra
Implement AWS and Kubernetes for infra
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Design a structured and configurable evaluation engine with precision
Combine deterministic checks with LLM-as-judge verdicts
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Provide technical support for Cribl Stream and products
Diagnose and troubleshoot customer issues
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Ownership of data products for decision-making insights
Collaboration with data scientists, engineers, and stakeholders
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Lead and grow global AWS alliance within Financial Services sector
Define and scale Capco's global AWS relationship with strategic ownership
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Own data products and deliver insights to drive business decisions
Lead requirements elicitation and collaborate with data teams
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Develop next-gen automation platforms
Design resilient multi-cloud architectures
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Lead development of critical VA healthcare systems
Build and modernize microservice REST APIs and Java apps
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Lead and manage a cloud engineering team
Focus on performance, security, and reliability in cloud service development
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Lead and conduct advanced penetration testing
Exploit security flaws and misconfigurations
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Develop cutting-edge voice cloning solutions
Implement low latency text-to-speech systems
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering teams
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Lead and grow engineering team
Build tooling with AI integration
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Advise on tech support and product adoption for customers
Maximize Datadog value by analyzing IT Operations environments
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Develop and maintain Java applications for high-performance systems
Build event-driven microservices using Kafka
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Build scalable frontend systems and components
Collaborate with product and design for high-performing apps
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Containerize and deploy microservices using Kubernetes on AWS
Maintain live production systems and improve processes with Docker/Kubernetes
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Tackle complex problems with teammates
Leverage foundation models and RLHF
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Design, scale, and ship reward signals for recommendations
Lead cross-team work to test mid-term signals in recommendation systems
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Develop AI model serving capabilities
Implement low latency text-to-speech functionality
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Analyze threat actor behavior and evolving abuse patterns
Research, prototype, and implement LLM-driven techniques for abuse detection
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Serve as primary security representative in engagements
Articulate security architecture 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 advanced penetration testing activities
Provide expert security guidance
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Lead design and development of Java backend services
Architect and optimize mission-critical workflows
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Lead day-to-day technical execution for team
Design, build, and maintain backend services with Node.js
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Design and build scalable backend services and APIs for mobile platform
Improve reliability, performance, and observability across the stack
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Designing, developing, and maintaining scalable backend services and APIs in Java
Leading technical design discussions and making architectural decisions
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Design and build new features for MongoDB Atlas
Lead technical projects and collaborate with teams
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Build new product versions with an interdisciplinary team
Provide technical support and guidance for existing systems