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Join top companies worldwide as a Data Engineer to work on innovative solutions in various industries. Remote positions available in different countries. Full-time, part-time, and contract roles. Utilize cutting-edge technologies such as Azure, AWS, Python, SQL, and more.
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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 technology
Implement low latency and cost-effective text-to-speech solutions
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Analyze threat actor behavior and evolving abuse patterns.
Research, prototype, and implement abuse detection techniques.
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Lead design and development of Java backend services
Architect and optimize platform components
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Lead and shape the Security Incident Response Team
Develop runbooks, playbooks, and response capabilities
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Participate in security investigations and offensive security
Automate security processes for operational efficiency
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Lead automation build-out for datacenter servers
Manage end-to-end machine lifecycle
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Lead application security direction and design frameworks
Architect and automate security controls at scale
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Set technical strategy and collaborate with cross-functional teams
Define technical solutions and operational processes
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Set technical vision and strategy
Lead engineering team
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Design, build, and maintain backend services powering GoDaddy’s backup infra
Develop RESTful APIs integrating across hosting platforms
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Serve as primary security representative in customer engagements
Drive technical security discussions during pre-procurement stages
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Design, build, and maintain scalable distributed backend systems for a Web3 platform.
Collaborate with product and engineering teams to shape product decisions.
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Lead design and development of core Java-based backend services
Optimize platform components for high-throughput workflows
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Lead advanced penetration testing projects
Define security roadmap for offensive strategies
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Analyze threat actor behavior and abuse patterns
Design and implement abuse detection techniques
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Develop and maintain backend systems using Python.
Utilize cloud services like GCP, AWS, and Azure.
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Lead and manage engineering team
Own platform tech direction
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Lead Service team in microservices development
Drive architecture decisions and strategies
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Develop vision and roadmap for compute frameworks and validation pipelines
Collaborate with AI teams for dataset automation
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Provide technical leadership
Ensure software reliability and availability
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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