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Deckers Brands, a global leader in footwear and apparel, is seeking an experienced Cloud Program Manager to lead and oversee major cloud-based initiatives, with an initial focus on a large-scale migration to AWS. The ideal candidate will drive our cloud strategy, foster collaboration across teams, and ensure the timely, on-budget delivery of cloud solutions, contributing to our reputation for innovation, quality, and sustainability.
The Cloud Program Manager will be responsible for planning, executing, and delivering cloud migration and implementation projects. This role will require close coordination with cross-functional teams and stakeholders to define project goals and manage all aspects of the project lifecycle within a dynamic, growth-focused environment.
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Analyze threat actor behavior and abuse patterns
Research, prototype, and implement abuse detection techniques
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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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Develop state-of-the-art voice cloning techniques
Implement low latency and cost-effective text-to-speech solutions
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Design and build scalable backend systems and APIs
Enable audience creation, segmentation, and activation on Twilio's data platform
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Design, develop, and maintain Ruby on Rails web apps.
Translate product requirements into scalable technical solutions.
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Provide technical leadership on automation-first customer problems
Bridge customer operations, AI, and platform teams for scalable solutions
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Deliver DoD software using Agile methodology
Build applications with Python, FastAPI, and React
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Lead database solution direction
Implement scalable database solutions
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Analyze threat actor behavior and abuse patterns for detection.
Implement state-of-the-art LLM-driven techniques for abuse prevention.
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Developing and maintaining AI model serving infrastructure
Implementing high availability applications on Kubernetes
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Design, build, and maintain scalable distributed backend systems
Own backend services end-to-end
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Analyze customer datasets for insights
Explain model performance and risk policies
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Own critical infrastructure supporting engineering teams
Design, deploy, and operate Kubernetes platforms
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Develop and deploy AI models efficiently
Prioritize tasks based on urgency and impact
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Analyze threat actor behavior and abuse patterns.
Implement abuse detection techniques.
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Act as technical advisor to enterprise customers
Design and implement modern data architectures
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Design, build, and maintain scalable distributed backend systems
Own backend services end-to-end
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Drive backend engineering
Lead design and implementation of new features
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Evolve and maintain foundational Enterprise systems
Collaborate with cross-functional teams
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Lead data science and ML initiatives
Build and lead a team for predictive modeling and experimentation
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Build a cloud-native network stack for Airbnb services
Collaborate with open-source communities like CNCF and Istio
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Design, implement, and maintain cloud infrastructure using IaC
Improve reliability, security, and scalability of the platform
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Lead design and delivery of Java projects
Analyze and optimize engine performance
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Design and optimize APIs and data pipelines for real-time analytics at scale.
Build and enhance distributed systems for large-scale indexing, search, and data processing.
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Hiring a remote Partner Sales Manager for AWS.
Full-time position in North America.
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Provide senior technical advisory for enterprise customers
Design and implement modern data architectures
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Revolutionizing AI model serving with voice cloning and text-to-speech
Developing low latency and cost-effective text-to-speech solutions
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Analyze threat actor behavior and abuse tactics
Design and develop production-ready systems
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Design, build, and maintain scalable distributed backend systems
Shape product decisions and contribute to technical discussions
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Senior Fullstack Engineer-Enterprise role for building multi-tenant management features and developing frontend with React and TypeScript.
Create admin consoles, backend APIs, and permission management interfaces for enterprise functionality.
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Monitor and improve reliability of production AI systems
Identify, diagnose, and fix issues across apps, integrations, and cloud
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Build and manage AI tooling stack and system infra for Field Engineering
Set standards for AI-driven development and scale capabilities
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Act as a senior technical advisor to enterprise customers
Design and implement modern data architectures
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Design scalable distributed backend systems
Collaborate with product and engineering peers
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Develop and implement voice cloning and text to speech solutions.
Prioritize tasks for efficient implementations.
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Analyze threat actor behavior & evolving abuse patterns
Implement advanced techniques for abuse detection & prevention
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Design, build, and maintain APIs, services, and core systems
Develop core product surfaces: cost intelligence, analytics, auth
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Provide senior escalation point for high-priority incidents
Lead investigations and monitoring strategies
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Oversee IT services, incident response, and technical escalations
Identify and solve recurring issues
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Lead migration of media workloads to AWS
Design scalable, secure, cost-effective infrastructure
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Drive the development of cloud tracking solutions
Translate user needs into clear product requirements
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Analyze threat actor behavior and evolving abuse patterns.
Develop and implement state-of-the-art techniques for abuse detection.
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering teams to shape product decisions
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Develop and deploy AI models for voice cloning
Implement cost-effective text-to-speech systems
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Guide enterprise customers in implementing modern data architectures
Develop custom solutions powered by Starburst
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Design, build, and maintain ML backend services
Integrate ML models via APIs for production reliability
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Build robust and user-friendly platforms for infra provisioning
Write performant and maintainable code in Go
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Lead vulnerability management across infra, network, and cloud
Implement security best practices; ensure compliance and policy adherence
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Design, build, and maintain Core platform services.
Collaborate via pairing, code reviews, on-call, releases.
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Design, develop, and maintain scalable software systems
Provide technical leadership within the team